Faculty Publications

Dr. Sunil Kumar Singla

Kamboj S.; Saxena S.; Singla S.K. “Surrogate-Based Tuning of PID Controllers” 2026, Actuators, vol 15, no. 4, 2026
Singla S.K.; Kumar V.; Juneja A. “A novel dehazing framework for road accidents prevention” Multimedia Tools and Applications, vol 85, no. 4, 313, 2026
M. Singh and S. K. Singla, “EFI-SATL: An EfficientNet and Self-Attention based biometric recognition for finger-vein using deep transfer learning,” Computer Modeling in Engineering & Sciences (CMES), vol. 142, no. 3, pp. 3003–3029, 2025.
Badoni M.; Pandey S.; Chittora P.; Singh A.; Singla S.K. “Fractional-order multiple notch filter-cross feedback network for multi-operational grid-connected solar photovoltaic system”, Electric Power Systems Research, 239, 111241, 2025.
Juneja, A.; Kumar, V.; Singla, S.K. “Fairness in Single Image Dehazing: Sustainable and Ethical AI” IT Professional vol. 27, no. 6, page 38-45, 2025
Juneja, V. Kumar, and S. K. Singla, "Desmogging of still images using residual regression network and morphological erosion," Multimedia Tools and Applications, vol. 83, no. 3, pp. 7179-7214, 2024.
Juneja, V. Kumar, and S. K. Singla, "Aethra-net: Single image and video dehazing using autoencoder," Journal of Visual Communication and Image Representation, vol. 94, pp. 103855, 2023.
Mahajan and S. K. Singla, "CSA-GRU: A hybrid CNN and self-attention GRU for human identification using ear biometrics," Evolving Systems, Article In Press, 2023.
Juneja, V. Kumar, and S. K. Singla, "A comprehensive review of computational desmogging techniques," Archives of Computational Methods in Engineering, vol. 30, no. 6, pp. 3723-3748, 2023.
Juneja, V. Kumar, and S. K. Singla, "A systematic review on foggy datasets: applications and challenges," Archives of Computational Methods in Engineering, vol. 29, no. 8, pp. 1727-1752, 2022.
Sharma and S. K. Singla, "A robust gender identification system for speaker recognition using linear discriminant analysis stepwise dimension reduction," in Proceedings of 3rd International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication: MARC 2021, Singapore: Springer Nature Singapore, pp. 91-101, 2022.
Juneja, V. Kumar, and S. K. Singla, "HUDRS: hazy unpaired dataset for road safety," The Visual Computer, 2022.
Sharma, V. Kumar, and S. K. Singla, "Single image defogging using deep learning techniques: past, present and future," Archives of Computational Methods in Engineering, vol. 28, no. 7, pp. 4449-4469, 2021.
Kaur, M. Singh, and S. K. Singla, "Study of fusion of medical images and classification comparison using different kernels of SVM and K-NN classifiers," in 2020 First IEEE International Conference on Measurement, Instrumentation, Control and Automation (ICMICA), Kurukshetra, India, pp. 1-6, 2020.
Lamba, S. Sondhi, and S. K. Singla, "Reduced order model based FOPID controller design for power control in pressurized heavy water reactor with specific gain-phase margin," Progress in Nuclear Energy, vol. 125, 2020.
Lamba, S. K. Singla, and S. Sondhi, "Design of fractional order PID controller for load frequency control in perturbed two area interconnected system," Electric Power Components and Systems, vol. 47, no. 11-12, pp. 998-1011, 2019.
Singh, G. Kaur, S. K. Singla, and P. Kaur, "Enhanced gain in S+C band utilizing TDFA-FRA hybrid amplifier in cascaded and parallel configurations at reduced channel spacings for DWDM systems," Journal of Optoelectronics and Advanced Materials, vol. 20, no. 1-2, pp. 27-32, Jan.-Feb. 2018.

Dr. Smarajit Ghosh

Sharma S.; Ghosh S. Optimal planning and placement of capacitor in distribution system based on Particle Swarm and Hybrid Bee-Cuckoo Search under Varying Load Conditions, Energy Reports 13 pp 5219-5237, 2025.
Bhattacharya T.; Ghosh S. Enhancing state of charge estimation accuracy in lithium-ion batteries through adaptive incremental learning under ambient temperature variability, Energy Sources, Part A: Recovery, Utilization and Environmental Effects, 47(1), 9413-9434, 2025.
Ghosh S. “Network traffic analysis based on cybersecurity intrusion detection through an effective Automated Separate Guided Attention Federated Graph” Neural Network, Applied Soft Computing, 169, 112603, 2025.
Ghosh S., A Novel Framework for Financial Cybersecurity and Fraud Detection Using XAI-RNN-SGRU, IEEE Access 13 pp. 88134-88155, 2025.
Bhattacharya T.; Ghosh S. “Data driven approach for state-of-charge estimation of lithium-ion cell using stochastic variational Gaussian process”, Computers and Electrical Engineering, 120, 109727, 2024
S. Ghosh, "Effective energy management scheme by impc," Intelligent Automation & Soft Computing, vol. 35, no.1, pp. 181–197, 2023.
S. Hans, S. Ghosh, A. Kataria, V. Karar, and S. Sharma, "Controller Placement in Software Defined Internet of Things Using Optimization Algorithm," Computers, Materials & Continua, vol. 70, no. 3, pp. 5073-5089, 2022.
S. Hans and S. Ghosh, "H-infinity Controller Based Disturbance Rejection in Continuous Stirred-Tanked Reactor," Intelligent Automation & Soft Computing, vol. 31, no. 1, pp. 29-41, 2022.

Smarajit Ghosh and Vinod Karar, Assimilation of Optimal Sized Hybrid Photovoltaic-Biomass System by Dragonfly Algorithm with Grid, Energies, 11(7), 1892; 2018. Doi: 10.3390/en11071892 (Impact Factor: 2.676)
Smarajit Ghosh andVinod Karar, Blowfish Hybridized Weighted Attribute-Based Encryption for Secure and Efficient Data Collaboration in Cloud Computing, Applied Science, 8(7), 1119; 2018. Doi:10.3390/app8071119 (Impact Factor: 1.689)
Ranjan Walia and Smarajit Ghosh, Active Noise Control Using Modified FsLMS and Hybrid PSOFF Algorithm, Applied Sciences 8(5), 686, 2018. https://doi.org/10.3390/app8050686 (Impact Factor: 1.679).
Chandan Kishore, Smarajit Ghosh and Vinod Karar, Symmetric Fuzzy Logic and IBFOA Solutions for Optimal Position and Rating of Capacitors Allocated to Radial Distribution Networks, Energies 11(4), 766, 2018. https://doi.org/10.3390/en11040766 (Impact Factor: 2.262).
Suman Bhullar and Smarajit Ghosh, Optimal Integration of Multi Distributed Generation Sources in Radial Distribution Networks Using a Hybrid Algorithm, Energies 11(3), 628, 2018. https://doi.org/10.3390/en11030628 (Impact Factor: 2.2676).
A. Kataria, S. Ghosh and V. Karar, Data Prediction of Optical Head Tracking using Self Healing Neural Model for Head Mounted Display, Journal of Scientific and Industrial Research, Vol. 77, pp. 288-292, 2018. (Impact Factor: 0.557)
Suman Bhullar and Smarajit Ghosh, A novel search technique to solve load flow of distribution networks, Journal of Engineering Research Vol. 5, No. 4, pp. 59-75, 2017. (Impact Factor: 0.128)
Manvir Kaur and Smarajit Ghosh, Effective Loss Minimization and Allocation of Unbalanced Distribution Network, Energies 10(12), 1931, 2017. https://doi.org/10.3390/en10121931 (Impact Factor: 2.262).
Rajnibala and Smarajit Ghosh, Optimal Position and Rating of DG in Distribution Networks by ABC-CS from Load Flow Solutions Illustrated by Fuzzy-PSO,” Neural Computing and Applications (Paper Number: NCAA-D-16-00863R3), DOI: 10.1007/s00521-017-3084-7. (Impact Factor: 2.505).
Manvir Kaur and Smarajit Ghosh, Network Reconfiguration of Unbalanced Distribution Networks using Fuzzy-Firefly Algorithm, Applied Soft Computing, Vol. 49, pp. 868-886, 2016.
Vinod Karar, Divya Agrawal and Smarajit Ghosh, Intuitive approach towards detection of attention tunneling while using a head-up display, Chinese Optics Letters, Volume 13, Issue 8, 081201(2015). (Impact Factor: 1.851).
Vinod Karar and Smarajit Ghosh, Attention Tunneling: Effects of Limiting Field of View due to Beam Combiner Frame of Head-up Display, IEEE/OSA Journal of Display Technology, Vol. 10, No. 7, pp 582-589, July 2014.(Impact Factor: 1.69)
Vinod Karar and Smarajit Ghosh, Estimation of Tunneling Effect due to Luminance Non-uniformity in head-up Displays, Chinese Optics Letters, Volume 12, Issue 1, 013301,2014.(Impact Factor: 1.851).
Kultar Deep Singh and Smarajit Ghosh, Voltage stability index and Line load ability index for Radial Power Distribution Networks, International Review of Electrical Engineering (IREE), Vol.6, No.7, December 2011, Part B. (Impact Factor: 1.364).

Dr. Ravinder Agarwal

Basu S.; Singh G.; Agarwal R.; Srivastava V. “Development of 3D Intelligent Quantitative Phase Microscope for Sickle Cells Screening” Journal of Biophotonics, 2025.
Thorat P.P.; Agarwal R.; Venu Gopal A. “Remote Calibration of Sundials of Jantar Mantar Jaipur Rajasthan and its Traceability with IST” Mapan - Journal of Metrology Society of India, 40, 2, pp. 459-469, 2025.
Gupta R.; Dhindsa I.S.; Agarwal R. Development and Uncertainty Assessment of Low-Cost Portable EMG Acquisition Module, Mapan - Journal of Metrology Society of India 39, 2, pp. 195-209, 14, 2024
Alang A.K.; Aggarwal S.G.; Singh K.; Johri P.; Agarwal R.; Kawamura K. “Hygroscopic Properties of Water-Soluble Counterpart of Ultrafine Particles from Agriculture Crop-Residue Burning in Patiala, Northwestern India” Atmosphere 15, 7, 835, 2024.
Gaurav; Bhardwaj, S; Agarwal, R, “Two-Tier Feature Extraction with Metaheuristics-Based Automated Forensic Speaker Verification Model” ELECTRONICS, 2079-9292, 2023.
Basu, S; Agarwal, R; Srivastava, V, “Development of an intelligent full-field polarization sensitive optical coherence tomography for breast cancer classification” JOURNAL OF BIOPHOTONICS, 1864-063X, 2023.
Agarwal, R; Gupta, KK; Singh, S, “A double boost 9-level switched capacitor-based multilevel inverter for photovoltaic applications” INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS 0098-9886, 2023.
Thorat, PP; Agarwal, R; Aswal, DK “India's Participation Toward Timescale from Ancient Time to the Current Date: Nimesha to Universal Coordinated Time (UTC)” MAPAN-JOURNAL OF METROLOGY SOCIETY OF INDIA, 0970, 3950, 2023.
Gupta, R; Dhindsa, IS; Agarwal, R, “Surface Electromyogram Feature Set Optimization for Lower Limb Activity Classification” IETE JOURNAL OF RESEARCH, 0377-2063, 2023.
Gaurav; Bhardwaj S.; Agarwal R., “An efficient speaker identification framework based on Mask R-CNN classifier parameter optimized using hosted cuckoo optimization (HCO)”, Journal of Ambient Intelligence and Humanized Computing, 18685137, 2023.

Knee muscle force estimating model using machine learning approach, Anurag Sohane and Ravinder Agarwal, The Computer Journal, vol. 65, pp 1167-1177, 2022.
An Intelligent Approach of Measurement and Uncertainty Estimation for Hidden Information Detection Using Brain Signals, Navjot Saini, Saurabh Bhardwaj and Ravinder Agarwal, Journal of Metrology Society of India, vol. 37, pp 81–95, 2022.
A characterization approach for the review of CAD system designs for breast tumor classification using B-mode ultrasound images: A characterization approach, Kriti, Jitendra Virmani and Ravinder Agarwal, Archives of Computational Methods in Engineering, vol. 29, pp 1485–1523, 2022.
A single platform for classification and prediction using a hybrid bioinspired and deep neural network (PSO-LSTM), Anurag Sohane and Ravinder Agarwal, Journal of Metrology Society of India, vol. 37, pp 47-58, 2022.
Intra and Inter-patient arrhythmia classification using feature fusion with novel feature set based on fractional-order and fibonacci series, Amandeep Kaur, Sanjay Kumar, Ravinder Agarwal, Alpana Agarwal, Biomedical Signal Processing & Control, vol. 72, pp 103365, 2022.
A review of segmentation algorithms applied to B-mode breast ultrasound images: A characterization approach, Kriti, Jitendra Virmani and Ravinder Agarwal, Archives of Computational Methods in Engineering, vol. 28, pp 2567–2606, 2021.
Evaluation of 3D design of lower limb exoskeleton device on human musculoskeletal with various loads, Anurag Sohane and Ravinder Agarwal, Expert Systems, vol. 38, pp e12738, 2021.
Design and development of SODAR antenna structure, Nishant Kumar, Kirti Soni and Ravinder Agarwal, Journal of Metrology Society of India, vol. 36, pp 785-793, 2021
Predication of temporal atmospheric boundary layer height using long short-term memory network, Nishant Kumar, Kirti Soni and Ravinder Agarwal, Tellus A: Dynamics Meteorology and Oceanography. vol. 73, pp 1-14, 2021.
Surface electromyogram feature set optimization for lower limb activity classification, Rohit Gupta, Inderjeet Singh Dhindsa and Ravinder Agarwal, IETE Journal of Research, September 16, 2021 [doi.org/10.1080/03772063.2021.1973589]
Binary particle swarn optimization-based feature selection for predicting the class of the knee angle from EMG signals in lower limb movements, Inderjeet Singh Dhindsa, Rohit Gupta and Ravinder Agarwal, Neurophysiology, vol. 53, no. 2, pp 109-119, 2021.
IoT-Sodar network for airshed management planning, Parag Chourey, Nirbhow Jap Singh, Kirti Soni and Ravinder Agarwal, IETE Technical Review, December 2021 https://doi.org/ 10.1080/03772063.2022.2026826.
An efficient speaker identification framework based on mask R-CNN classifier parameter optimized using hosted cuckoo optimization (HCO), Gaurav. Saurabh Bhardwaj and Ravinder Agarwal, Journal of Ambient Intelligence and Humanized Computing, July 2022 [https://doi.org/10.1007/s12652-022-03828-7].
Deep discriminative learning model with calibrated attention map for the automated diagnosis of diffuse large B-cell lymphoma, Sautami Basu, Ravinder Agarwal and Vishal Srivastava, Biomedical Signal Processing & Control, vol. 76, pp 103728, 2022,
SODAR Based Meteorological Sensor Network for Air Pollution Monitoring in Northern India, Parag Chourey, Nirbhow Jap Singh, Kirti Soni and Ravinder Agarwal, Journal of Metrology Society of India, vol. 37, pp 901–915, 2022.
A Study of Internet Time Dissemination Services and Their Capabilities: NTP as a Special Case in Time Metrology, Gautum Kumar, Pranalee P. Thorat1, Ravinder Agarwal and D. K. Aswal, Journal of Metrology Society of India, vol. 37, pp 421 – 434, 2022.
Human muscle synergy recruitment and variability assessment for walking speed prediction module design, Rohit Gupta, and Ravinder Agarwal, IETE Technical Review, July 2022. [https://doi.org/10.1080/03772063.2022.2101555].
A Novel Signal Conditioning System for SODAR, Parag Chourey, Nirbhow Jap Singh, Kirti Soni, and Ravinder Agarwal, Measurement Science and Technology, vol. 33, p 115801, 2022. [https://doi.org/10.1088/1361-6501/ac83e0].
India’s participation towards Timescale from Ancient time to the current date: Nimesha to UTC, Pranalee P Thorat, Ravinder Agarwal, and D K Aswal, Journal of Metrology Society of India, vol. 38, pp 231–240, 2023.

Dr. Mandeep Singh

M. Narang and M. Singh, "Exploring different computational methods for the high-frequency band of HRV to capture information related to RSA," Transactions of the Institute of Measurement and Control, 2023.
M. Singh and M. Singh, "Transition of emotions from the negatively excited state to positive unexcited state: an ERP perspective," Metrology and Measurement Systems, vol. 29, no. 2, pp. 405-423, 2022.
Mandeep Singh, "Development of a portable Universal Testing Machine (UTM) compatible with 3D laser-confocal microscope for thin materials," Advances in Industrial and Manufacturing Engineering, Volume 4, (2022),100069.
Mandeep Singh, Vinod Kumar and S. C. Saxena. "Refinement criterion for SPIHT based ECG signal compression." IETE Technical Review 24, no. 3 (2007): 145-151.
Manu Gupta, Vinod Kumar and Mandeep Singh. "Creating satisfied employees through workplace spirituality: A study of the private insurance sector in Punjab (India)." Journal of business ethics 122, no. 1 (2014): 79-88.
Amit Kumar, and Mandeep Singh. "Optimal selection of wavelet function and decomposition level for removal of ECG signal artifacts." Journal of Medical Imaging and Health Informatics 5, no. 1 (2015): 138-146.
Amit Kumar and Mandeep Singh. "Robust multiresolution wavelet analysis and window search-based approach for electrocardiogram features delineation." Journal of Medical Imaging and Health Informatics 6, no. 1 (2016): 146-156.
Amit Kumar and Mandeep Singh. "Statistical analysis of ST segments for ischemia detection in electrocardiogram signals." Journal of Medical Imaging and Health Informatics 6, no. 2 (2016): 431-440.
Amit Kumar and Mandeep Singh. "Ischemia detection using isoelectric energy function." Computers in biology and medicine 68 (2016): 76-83.
Moon Inder Singh and Mandeep Singh. "Development of low-cost event marker for EEG-based emotion recognition." Transactions of the Institute of Measurement and Control 39, no. 5 (2017): 642-652.
Moon Inder Singh and Mandeep Singh. "Development of a real time emotion classifier based on evoked EEG." Biocybernetics and Biomedical Engineering 37, no. 3 (2017): 498-509.
Amit Kumar and Mandeep Singh. "Statistical analysis of ST segments in ECG signals for detection of ischemic episodes." Transactions of the Institute of Measurement and Control 40, no. 3 (2018): 819-830.
Suman Dutta, Mandeep Singh and Amod Kumar. "Classification of non-motor cognitive task in EEG based brain-computer interface using phase space features in multivariate empirical mode decomposition domain." Biomedical Signal Processing and Control 39 (2018): 378-389.
Suman Dutta, Mandeep Singh and Amod Kumar. "Automated classification of non-motor mental task in electroencephalogram-based brain-computer interface using multivariate autoregressive model in the intrinsic mode function domain." Biomedical Signal Processing and Control 43 (2018): 174-182.
Mahak Narang and Mandeep Singh. "Correlational analysis of heart rate variability band power and respiratory frequency to identify an optimal frequency band." Transactions of the Institute of Measurement and Control 41, no. 14 (2019): 4167-4175.

Dr. Sanjay K. Jain

Sharma A.; Jain S.K.; Kaur N., “Hybrid multi-objective optimisation for ancillary service procurement in renewable energy integrated deregulated environment”, International Journal of Power and Energy Conversion, 16(1), pp 100-119, 2025.
Stala R.; Folmer S.; Waradzyn Z.; Penczek A.; Pirog S.; Skala A.; Mondzik A.; Gupta K.K.; Bhatnagar P.; Jain S.K. “Four-Level Single-Stage Single-Source Boost-Inverter”, IEEE Access, 12, 2024.

A. Jain, K. K. Gupta, and S. K. Jain, "A novel single/multiple output multilevel buck rectifier for EV-battery charging," IEEE Transactions on Vehicular Technology, vol. 72, no. 4, pp. 4384-4393, Apr. 2023.
A. Sharma and S. K. Jain, "Day-ahead multi-objective procurement of voltage control ancillary service in dynamic wind-solar incorporated deregulated power system," Electrical Engineering, Springer, accepted Jan. 2023.
I. Mishra, S. Jain and V. Maik, "Secured ecg signal transmission using optimized egc with chaotic neural network in wbsn," Computer Systems Science and Engineering, vol. 44, no.2, pp. 1109–1123, 2023.
A. Jain, K. K. Gupta, S. K. Jain and P. Bhatnagar, "A Bidirectional Five-Level Buck PFC Rectifier With Wide Output Range for EV Charging Application," in IEEE Transactions on Power Electronics, vol. 37, no. 11, pp. 13439-13455, Nov. 2022, doi: 10.1109/TPEL.2022.3185239.
A. Jain, K. K. Gupta, S. K. Jain, P. Bhatnagar, and H. Vahedi, "A V2G enabled bidirectional single/three-phase EV charging interface using modular multilevel buck PFC rectifier," Electronics, vol. 11, no. 12, p. 1891, 2022.
A. Jain, K. K. Gupta, S. K. Jain, and P. Bhatnagar, "A bidirectional five-level buck PFC rectifier with wide output range for EV charging application," IEEE Transactions on Power Electronics, vol. 37, no. 11, pp. 13439-13455, Nov. 2022
Divya Gupta and Sanjay K. Jain, “Analysis of operations in the energy market in a deregulated environment,” Energy Sources: Economics, Planning and Policy, Vol. 11, No. 12, 1173–1179, 2016.
Navdeep Kaur and Sanjay K Jain, “Analytical Approach for Optimal Allocation of Distributed Generators to Minimize Losses,” J Electr Eng Technol., Vol. 11, No. 6, pp. 1582-1589, 2016.
Yogesh K. Chauhan, Sanjay K. Jain, Bhim Singh, “Operating Performance of Static Series Compensated Three-Phase Self-Excited Induction Generator,” Electric Power & Energy Systems, Vol. 49, pp.137-148, 2013.
Yogesh K. Chauhan, Sanjay K. Jain, Bhim Singh, “Performance of Self-Excited Induction Generator with Cost-Effective Static Compensator,” Maejo International Journal of Science and Technology, Vol. 6, No. 1, pp. 12-27, 2012.
Yogesh K. Chauhan, Sanjay K. Jain, Bhim Singh, “Voltage Regulation Optimization of Isolated Induction Generator Feeding Static and Dynamic Loads,” ELEKTRIKA–UTM Journal of Electrical Engineering (EJEE), Vol. 13, No. 2, pp. 31-39, 2011.
Yogesh K. Chauhan, Sanjay K. Jain, Bhim Singh, “Genetic Algorithm Based Optimum Performance Of Compensated Self-Excited Induction Generator,” International Journal of Modelling and Simulation, Vol. 31, No. 4, pp. 263-268, 2011
Yogesh K. Chauhan, Sanjay K. Jain, Bhim Singh, “A Prospective on Voltage Regulation of Self-Excited Induction Generator for Industry Applications”, IEEE Transactions on Industry Applications, Vol. 46, No. 2, pp. 720-731, 2010.

Dr. Mukesh Singh

Mahmoud Sallam, Deepika, Kuljeet Kaur, Neeru Jindal, Georges Kaddoum, Mukesh Singh, Y. N. Singh. “Energy Consumption Forecasting in Net-Zero Energy Buildings: Firefly-Driven LSTM for Smart Consumer Electronics and Edge-Based Energy Optimization.” IEEE Transactions on Consumer Electronics, Vol. 72, No. 2, 2026.
Riya Sharma, Ashima Singh, Anju Bala, Mukesh Singh. “An Explainable Hybrid Opt-GRU-KAN Architecture for Lithium-Ion Battery Health Prediction.” CMC–Computers, Materials & Continua. (Impact Factor: 2.4), 2026.
Ashiq Nazir Bhat, Mukesh Singh, Singara Singh Kasana. “SP-EMV2G: Secure and Privacy-Enhanced Electric Vehicle Energy Management in Vehicle-to-Grid.” Sadhana, 2026.
Rahul Kumar Kamboj, Mukesh Singh, Ashima Singh, Anju Bala, “Explainable Parallel GRU–LSTM Model for Predictive Maintenance of Lithium Ion Batteries.” Ionics, Vol. 32, Issue 4, pp. 4227–4243. (Impact Factor: 2.6), 2026
Ashiq Nazir Bhat, Mukesh Singh, Singara Singh Kasana, “Deep Reinforcement Learning for Vehicle-to-Grid Energy Management with Reward Decomposition and Battery Health Preservation.” Sustainable Energy, Grids and Networks, June 2026.
Reeta, Anju Bala, Mukesh Singh. “Smart Cloud-Integrated Battery Management System for Real-Time State of Charge Estimation of Lithium-Ion Battery Pack in Electric Vehicles.” Journal of Energy Storage, Vol. 145, Article 119894. (Impact Factor: 9.8), 2026
Rahul Kumar Kamboj, Mukesh Singh, Ashima Singh, Anju Bala. (2025). “Explainable AI-Driven Estimation of Remaining Useful Life for LithiumIon Batteries.” Ionics. (Impact Factor: 2.6).
Rahul Kumar Kamboj, Mukesh Singh, Ashima Singh, Anju Bala. (2025). “An Intelligent Fault Detection (IFD) System for Lithium-Ion Battery Using Machine Learning Approach.” Scientific Reports, Vol. 15, No. 1, Article 32190. (Impact Factor: 4.6).
M. Arey, I. Vasisht, S. Malik, N. Jindal and M. Singh ; "Predicting EV Li-Ion Battery Fires: An Integrated Approach Using Generative AI and Machine Learning Based on Vented Gas Emissions"; IEEE Transaction on Intelligent Transportation System" 2025, doi=10.1109/TITS.2025.3562181
R.Sharma, A.Bala, A Singhand M.Singh; "Enhancing battery health monitoring using a stacking approach for precise and real-time state-of-health estimation" Arabian Journal for Science and Engineering (AJSE), Springer Nature, 2025.
S. Alam, M. Singh, P Agarwal "Design of an Adaptive Model Predictive Control for Enhanced Bidirectional Power Flow in V2G Applications", Electrical Engineering, Springer Nature (2025); https://doi.org/10.1007/s00202025-03143-2
K. Yadav, M. Singh "A novel energy management of public charging stations using attention-based deep learning model "; Electric Power Systems Research; 2024.

A. Kaur and M. Singh, "Time-of-use tariff rates estimation for optimal demand-side management using electric vehicles," Energy, 2023.
K. Yadav and M. Singh, "Design and development of a bidirectional DC net meter for vehicle to grid technology at TRL-9 level," Measurement, Feb. 2023.
K. Yadav and M. Singh, "Implementation of DC net metering scheme in off-board EV charging systems with a time of usage capability," Electric Power Systems Research, vol. 224, 2022.
R. Teja, M. Singh, and Y. Beck, "Experimental analysis of electric vehicle’s Li-ion battery with constant pulse and constant voltage charging method," International Journal of Energy Research, 2022
M. Verma, R. S. Kaler, and M. Singh, "A novel signal conditioning and isolation technique for efficiency enhancement of passive infrared sensor for smart applications," Optik, vol. 267, 2022.
A. Kaur and M. Singh, "Design and development of a three-phase net meter for V2G enabled charging stations of electric vehicles," Sustainable Energy, Grids and Networks, Jan. 2022.
A. Jindal, B. S. Bhambhu, M. Singh, N. Kumar and K. Naik, A Heuristic-Based Appliance Scheduling Scheme for Smart Homes, IEEE Transactions on Industrial Informatics, 2020, DOI: 10.1109/TII.2019.2912816. (Impact Factor=7.377)

Vinit Kumar, M. Singh,”Sensorless DC-link control approach for three-phase grid integrated PV system”, International Journal of Electrical Power & Energy Systems, Volume 112, 2019, Pages 309-318, ISSN 0142-0615. (Impact Factor=4.418)

G. S. Aujla, N. Kumar, M. Singh and A. Y. Zomaya, Energy trading with dynamic pricing for electric vehicles in a smart city environment, Journal of Parallel and Distributed Computing, 2018, DOI: 10.1016/j.jpdc.2018.06.010. (Impact Factor=1.815)

S. Singh, S. Jagota, and M. Singh, Energy management and voltage stabilization in an islanded microgrid through an electric vehicle charging station, Sustainable Cities and Society, 2018, DOI: 10.1016/j.scs.2018.05.055. (Impact Factor=3.073)

A. Jindal, N. Kumar, and M. Singh, Internet of Energy-based Demand Response Management Scheme for Smart Homes and PHEVs Using SVM, Future Generation Computer Systems, 2018, DOI: 10.1016/j.future.2018.04.003. (Impact Factor=5.768)

A. Jindal, M. Singh, and N. Kumar, Consumption-Aware Data Analytical Demand Response Scheme for Peak Load Reduction in Smart Grid, IEEE Transactions on Industrial Electronics, 2018, DOI: 10.1109/TIE.2018.2813990. (Impact Factor=7.503)

K. Kaur, N. Kumar, and M. Singh, “Coordinated Power Control of Electric Vehicles for Grid Frequency Support: MILP-based Hierarchical Control Design,” IEEE Transactions on Smart Grid,, 2018, DOI: 10.1109/TSG.2018.2825322. (Impact Factor=10.486)

A. Jindal, N. Kumar, and M. Singh, A Unified Framework for Big Data Acquisition, Storage and Analytics for Demand Response Management in Smart Cities, Future Generation Computer Systems, 2018, DOI: 10.1016/j.future.2018.02.039. (Impact Factor=5.768)

K. Dhingra and M. Singh, “Frequency Support in a Micro-Grid using Virtual Synchronous Generator based Charging Station,” IET Renewable Power Generation, 2018, DOI: 10.1049/iet-rpg.2017.0713. (Impact Factor=2.635)

K. Kaur, M. Singh, and N. Kumar, “Multiobjective Optimization for Frequency Support Using Electric Vehicles: An Aggregator-Based Hierarchical Control Mechanism,” IEEE Systems Journal,, 2017, DOI: 10.1109/JSYST.2017.2771948. (Impact Factor=3.882)

G.S. Aujla, M. Singh, N. Kumar and A. Zomaya, “Stackelberg Game for Energy-aware Resource Allocation to Sustain Data Centers Using RES,” IEEE Transactions on Cloud Computing, 2017, DOI: 10.1109/TCC.2017.2715817. (Impact Factor=5.967)

R. Rana, M. Singh and S. Mishra , “Design of Modified Droop Controller for Frequency Support in Microgrid using Fleet of Electric Vehicles,” IEEE Transactions on Power Systems, 2017, DOI: 10.1109/TPWRS.2017.2651906. (Impact Factor=6.807)

S. Singh , M. Singh , and S.C. Kaushik, “Feasibility study of an islanded microgrid in rural area consisting of PV, wind, biomass and battery energy storage system,” Energy Conversion and Management, 2017, DOI: https://doi.org/10.1016/j.enconman.2016.09.046.(Impact Factor=7.181)
S. Singh, M. Singh, and S. C. Kaushik, “A Review on Optimization Techniques for Sizing of Solar-Wind Hybrid Energy Systems,” International Journal of Green Energy, July 2016, DOI: 0.1080/15435075.2016.1207079. (Impact Factor= 1.601)
S. Singh, M. Singh, and S. C. Kaushik, “Optimal power scheduling of renewable energy systems in microgrids using distributed energy storage system,” IET Renewable Power Generation, May 2016, DOI: 10.1049/iet-rpg.2015.0552. (Impact Factor= 1.562)

A. Jindal, A. Dua, K. Kaur, M. Singh, N. Kumar, and S. Mishra, “Decision Tree and SVM-based Data Analytics for Theft Detection in Smart Grid,” IEEE Transactions on Industrial Informatics, vol. 12, no. 3, pp. 1005-1016, 2016. (Impact Factor= 4.703)

K. Kaur, R. Rana, N. Kumar, M. Singh, and S. Mishra, “A Colored Petri Net Based Frequency Support Scheme Using Integrated Fleet of Electric Vehicles in Smart Grid Environment,” IEEE Transactions on Power systems, 2016, DOI: 10.1109/TPWRS.2016.2518743. (Impact Factor= 3.342)

K. Kaur, A. Dua, A. Jindal, N. Kumar, M. Singh, and A. Vinel, “A Novel Resource Reservation Scheme for Mobile PHEVs in V2G Environment using Game Theoretical Approach,” IEEE Transactions on Vehicular Technology, vol. 64, no. 12, pp. 5653-5666, 2015. (Impact Factor=2.243)

N. Kumar, M. Singh, S. Zeadally, J.J.P.C. Rodrigues, and S. Rho, “Cloud-assisted Context-aware Vehicular Cyber-Physical System for PHEVs in Smart Grid,” IEEE Systems Journal, 2015, DOI: 10.1109/JSYST.2015. 2437201. (Impact Factor= 2.114)

K. Thirugnanam, R. Joy, M. Singh, and P. Kumar, “Modeling and Control of Contactless Based Smart Charging Station in V2G Scenario,” IEEE Transactions on Smart Grid, vol. 5, no.1, pp. 337-348, 2014. (Impact Factor= 3.19)

M. Singh, P. Kumar, and I. Kar, “A Multi Charging Station for Electric Vehicles and its Utilization for Load Management and the Grid Support,” IEEE Transactions on Smart Grid, vol. 4, no. 2, pp.1026-1037, 2013. (Impact Factor= 3.19)

M. Singh, P. Kumar, and I. Kar, “Real Time Coordination of Electric Vehicles to Support the Grid at the Distribution Substation Level,” IEEE System Journal, 2014, DOI 10.1109/JSYST.2013.2280821. (Impact Factor= 2.114)

A. Agarwal, M. Kumar, D. Prajapati, M. Singh, and P. Kumar, “Smart Public Transit System Using Energy Storage Systems and its Coordination with Distribution Grid,” IEEE Transaction on Intelligent Transport Systems, vol. 15, no. 4, pp. 1622-1632, 2014. (Impact Factor= 1.547)

R. Das, T. Kannan, M. Singh, and P. Kumar, “Mathematical Modeling For Economic Evaluation of Electric Vehicles to Smart Grid Interaction,” IEEE Transaction on Smart Grid, vol. 5, no. 2, pp.712-721, March 2014. (Impact Factor= 3.19)

T. Kannan, E. Reena, M. Singh, and P. Kumar, “Mathematical Modeling of Li-Ion Battery using Genetic Algorithm Approach for V2G Applications,” IEEE Transactions on Energy Conversion, vol. 29 , no. 2, pp. 332-343, June 2014. (Impact Factor= 2.596)

M. Singh, P. Kumar, and I. Kar, “Implementation of vehicle to grid infrastructure using fuzzy logic controller,” IEEE Transactions on Smart Grid, vol. 3, no. 1, pp. 565-577, March 2012. (Impact Factor= 3.19)

Dr. Saurabh Bharadwaj

G. Kumar and S. Bhardwaj, “An Optimization-Driven Framework for Deep Learning-Based Spoken Language Recognition,” Mathematics, Jun. 2026, doi: 10.3390/math14111955.
S. J. Parker et al., “Molecular mechanism leading to human coronary atherosclerosis assessed by proteomic analysis and RNA sequences,” European Heart Journal, 2026, doi: 10.1093/eurheartj/ehag166.
G. Kumar and S. Bhardwaj, “Biomimetic Computing for Efficient Spoken Language Identification,” Biomimetics, May 2025, doi: 10.3390/biomimetics10050316.
D. Du, S. Bhardwaj, et al., “Embracing the informative missingness and silent gene in analyzing biologically diverse samples,” Scientific Reports, Nov. 2024, doi: 10.1038/s41598-024-78076-0.
C.-T. Wu et al., “CAM3.0: determining cell type composition and expression from bulk tissues with fully unsupervised deconvolution,” Bioinformatics, Mar. 2024, doi: 10.1093/bioinformatics/btae107.
S. Bhardwaj, Y. Wang, G. Yu, and Y. Wang, "Information set supported deep learning architectures for improving noisy image classification," Scientific Reports, vol. 13, no. 1, p. 4417, 2023.
Gaurav, S. Bhardwaj, and R. Agarwal, "Two-tier feature extraction with metaheuristics-based automated forensic speaker verification model," Electronics, vol. 12, no. 10, p. 2342, 2023.
Gaurav, S. Bhardwaj, and R. Agarwal, "An efficient speaker identification framework based on Mask R-CNN classifier parameter optimized using hosted cuckoo optimization (HCO)," Journal of Ambient Intelligence and Humanized Computing, pp. 1-13, 2022.
N. Saini, S. Bhardwaj, and R. Agarwal, "An intelligent approach of measurement and uncertainty estimation for hidden information detection using brain signals," MAPAN, vol. 37, no. 1, pp. 81-95, 2021.

P. Bhola and S. Bhardwaj, "Accuracy improvement of solar power estimation using real-time degradation computation of PV panels," Journal of Circuits, Systems and Computers, vol. 30, no. 13, p. 2150242, 2021.
N. Saini, S. Bhardwaj, R. Agarwal. "Classification of EEG signals using hybrid combination of features for lie detection." Neural Computing and Applications: 1-11 (2019).
P. Bhola and S. Bhardwaj. "Clustering-based computation of degradation rate for photovoltaic systems." Journal of Renewable and Sustainable Energy 11.1 (2019): 014701.

S. Srivastava, Gopal, S. Bhardwaj. "Multi-scenario dataset for speaker recognition." Journal of Intelligent & Fuzzy Systems 34, no. 3 (2018): 1385-1392.

Gopal, S. Srivastava, S. Bhardwaj. "Feature Extraction Methods for Speaker Recognition: A Review." International Journal of Pattern Recognition and Artificial Intelligence 31, no. 12 (2017): 1750041.

G. Chaudhary, S. Srivastava, S. Bhardwaj and S. Bhargava, “Fusion of palm-phalanges print with Palmprint and dorsal hand vein,” Applied Soft Computing, Elsevier, vol. 47, pp. 12-20, 2016.

S. Bhardwaj, S. Srivastava, M. Hanmandlu, J.R.P. Gupta, “GFM Based Methods for Speaker Identification,” IEEE Transactions on Cybernetics, vol.43, pp. 1047-1058, 2013.

S. Bhardwaj, V. Sharma, S. Srivastava, O.S. Sastri, J.R.P. Gupta, S.S. Chandel, B. Bandyopadhyay, “Estimation of solar radiation using a combination of Hidden Markov Model and Generalized Fuzzy Model,” Solar Energy, Elsevier, vol. 93, pp. 43-54, 2013.

S. Bhardwaj, S. Srivastava, J.R.P Gupta, “Pattern Similarity based model for Time Series Prediction,” Computational Intelligence, Wiley, vol. 31, pp. 106-131, 2013.

Dr. Prasanjit Basak

V. Ranjan, P. Basak and S. Kumar, "Design and Fabrication of Anthracite Coal-Derived Graphene Oxide Humidity Sensor for Moisture Sensing in Transformer Oil," in IEEE Sensors Letters, vol. 10, no. 3, pp. 1-4, March 2026, Art no. 2000804, doi: 10.1109/LSENS.2026.3656613
Ranjan, V., Basak, P. and Kumar, S. (2025), Development of Graphene Oxide-Based Sensor with an Aspect for Moisture Sensing in Transformer Oil. Chemical Engineering & Technology, 48: e70118, issue 10, https://doi.org/10.1002/ceat.70118 .
Zaid B. Siddique and Prasenjit Basak, "Transformer Design Considerations for Green Renewable Dielectric Nanofluid," in IEEE Transactions on Dielectrics and Electrical Insulation, vol. 31, no. 2, pp. 1110-1113, April 2024, doi: 10.1109/TDEI.2024.3363121.
Sahil Mehta & Prasenjit Basak (2024), Development of PLC-Based Hardware Test-Bench Prototype for Solar-Wind-Battery-Based Microgrid System’s Control Algorithm Validation, Electric Power Components and Systems, DOI: https://doi.org/10.1080/15325008.2024.2329326
Sahil Mehta & Prasenjit Basak (2023). A Centralized Stage-Wise Control Approach for Frequency and Voltage Regulation in PV–Wind–Storage Based Islanded Microgrid. Electric Power Components and Systems, 1–19. https://doi.org/10.1080/15325008.2023.2276829, Online November 2023.
Zaid B. Siddique, Soumen Basu and Prasenjit Basak, Dielectric breakdown analysis of ester-mineral oil blend dispersed with graphene oxide for transformers under thermal stress. Sādhanā 48, 232 (November 2023). doi: https://doi.org/10.1007/s12046-023-02302-0
Sahil Mehta, Prasenjit Basak, Determination of microgrid stability index based on measured electrical parameters and Mamdani fuzzy inference system. Electrical Engineering, Volume 106, pages 581–601, (2024), doi: https://doi.org/10.1007/s00202-023-02002-2
Sahil Mehta, Prasenjit Basak, "A Novel Design, Economic Assessment, and Fuzzy-Based Technical Validation of an Islanded Microgrid: A Case Study on Load Model of Kibber Village in Himachal Pradesh," International Transactions on Electrical Energy Systems, vol. 2022, 17 pages, published online Nov 10 2022, doi: https://doi.org/10.1155/2022/9639253
Zaid B. Siddique, Soumen Basu and Prasenjit Basak, "Ageing of Transformer Pressboard Impregnated with Conductive and Semi-conductive Nanoparticles Dispersed Soyabean Oil Blend," in IEEE Transactions on Dielectrics and Electrical Insulation, vol. 29, no. 6, pp. 2340 - 2347 2022, doi: https://doi.org/10.1109/TDEI.2022.3201441.
Zaid B. Siddique, Soumen Basu and Prasenjit Basak, "Effect of Graphene Oxide Dispersed Natural Ester Based Insulating Oil on Transformer Solid Insulation," in IEEE Transactions on Dielectrics and Electrical Insulation, vol. 29, no. 2, pp. 378-385, April 2022, doi: https://doi.org/10.1109/TDEI.2022.3157926.
Manjeet Singh, Prasenjit Basak, Q and frequency component-based fault and nature detection for hybrid microgrid, Sustainable Energy, Grids and Networks, Elsevier Volume 28, 2021, 100552, ISSN 2352-4677, doi: https://doi.org/10.1016/j.segan.2021.100552.
Arashdeep Singh, Prasenjit Basak, Conceptualization and techno-economic evaluation of municipal solid waste based microgrid, Energy, Elsevier Volume 238, Part B, 2022,121711, ISSN 0360-5442, doi: https://doi.org/10.1016/j.energy.2021.121711.
Arashdeep Singh, Prasenjit Basak, Conceptualization and techno-economic evaluation of microgrid based on PV/Biomass in Indian scenario, Journal of Cleaner Production, Elsevier Volume 317, 2021, 128378, ISSN 0959-6526, doi: https://doi.org/10.1016/j.jclepro.2021.128378.
Zaid B. Siddique, Soumen Basu, Prasenjit Basak, Dielectric Behavior of Natural Ester Based Mineral Oil Blend Dispersed with TiO₂ and ZnO Nanoparticles as Insulating Fluid for Transformers, Journal of Molecular Liquids, Elsevier Volume 339, 2021, 116825, ISSN 0167-7322, doi: https://doi.org/10.1016/j.molliq.2021.116825.
Zaid B. Siddique, Soumen Basu, Prasenjit Basak, "Development of Graphene Oxide Dispersed Natural Ester Based Insulating Oil for Transformers," in IEEE Transactions on Dielectrics and Electrical Insulation, vol. 28, no. 4, pp. 1326-1333, August 2021, doi: https://doi.org/10.1109/TDEI.2021.009445.
Sahil Mehta, Prasenjit Basak, A comprehensive review on control techniques for stability improvement in microgrids. International Transactions on Electrical Energy Systems, Wiley 2021; published online Feb 17. vol. 31, issue 4, April 2021; doi: https://doi.org/10.1002/2050-7038.12822
Amit Kumar Roy, Gyan Ranjan Biswal, Prasenjit Basak, An integrated rule-based power management and dynamic feed-forward low voltage ride through scheme for a grid-connected hybrid energy system, Journal of Renewable and Sustainable Energy, AIP Publishing, Published Online: 19 October 2020, vol. 12, issue no. 5, doi: https://doi.org/10.1063/5.0019254, Online ISSN 1941-7012
Shatrughan Modi, Jhilik Bhattacharya and Prasenjit Basak, Convolutional Neural Network-Bagged Decision Tree: A hybrid approach to reduce electric vehicle's driver's range anxiety by estimating energy consumption in real-time, Soft Computing, Springer, vol. 25, issue 3, pp. 2399-2416, 2021, doi: https://doi.org/10.1007/s00500-020-05310-y, Print ISSN 1433-7479, Online ISSN 1432-7643
Manjeet Singh, Prasenjit Basak, Identification and nature detection of series and shunt faults in types I, III and IV wind turbines and PV integrated hybrid microgrid with a fuzzy logic-based adaptive protection scheme, in IET Generation, Transmission & Distribution, Special Issue: Challenges and New Solutions for Enhancing Ancillary Services and Grid Resiliency in Low Inertia Power Systems, September 2020, vol. 14, issue no. 22, pp. 4989 – 4999, doi: https://doi.org/10.1049/iet-gtd.2020.0736, Print ISSN 1751-8687, Online ISSN 1751-8695
Jitender Kaushal, Prasenjit Basak, Power quality control based on voltage sag/swell, unbalancing, frequency, THD and power factor using artificial neural network in PV integrated AC microgrid, Sustainable Energy Grids and Networks, Elsevier, Volume 23, 2020, 100365, doi: https://doi.org/10.1016/j.segan. 2020.100365, ISSN 2352-4677
Jitender Kaushal, Prasenjit Basak, Power quality control through automated demand side management in microgrid equipped with battery energy storage for protection, in IET Generation, Transmission & Distribution, vol. 14, issue no. 12, pp. 2389-2398, 19. 6. 2020, doi: https://doi.org/10.1049/iet-gtd.2019.1042, Print ISSN 1751-8687, Online ISSN 1751-8695
Jitender Kaushal & Prasenjit Basak, A Decision Making Methodology to Assess Power Quality Monitoring Index of an AC Microgrid Using Fuzzy Inference Systems, Electric Power Components and Systems, Taylor & Francis, vol.47, Issue 14-15, 2019, Pages: 1349-1361, doi: https://doi.org/10.1080/15325008.2019.1689448. Print ISSN: 1532-5008, Online ISSN: 1532-5016
Shatrughan Modi, Jhilik Bhattacharya and Prasenjit Basak, Estimation of energy consumption of electric vehicles using Deep Convolutional Neural Network to reduce driver’s range anxiety. ISA Transactions (2019), Elsevier, vol. 98, pages 454-470, doi: https://doi.org/10.1016/j.isatra.2019.08.055. ISSN: 0019-0578
Amit Kumar Roy, Prasenjit Basak, Gyan Ranjan Biswal, Low voltage ride through capability enhancement in a grid-connected wind/fuel cell hybrid system via combined feed-forward and fuzzy logic control, IET Generation, Transmission & Distribution, vol.13, Issue 13, July 2019, pp. 2866 – 2876, doi: https://doi.org/10.1049/iet-gtd.2019.0021, Print ISSN 1751-8687, Online ISSN 1751-8695
Arashdeep Singh, Prasenjit Basak, Economic and environmental evaluation of rice straw processing technologies for energy generation: A case study of Punjab, India, Journal of Cleaner Production (2019), Elsevier, doi: https://doi.org/10.1016/j.jclepro.2018.12.033, ISSN 0959-6526, vol. 212, pages 343- 352
Manjeet Singh, Prasenjit Basak, Adaptive Protection Methodology in Microgrid for Fault Location and Nature Detection using q0 Components of Fault Current, IET Generation, Transmission & Distribution, (Special Issue: Intelligent Protection and Control of Microgrids with Energy Storage Integration), vol.13, Issue 6, March 2019, pp.760-769 doi: http://dx.doi.org/10.1049/iet-gtd.2018.6347, Print ISSN 1751-8687, Online ISSN 1751-8695
Arashdeep Singh, Prasenjit Basak, Economic and environmental evaluation of municipal solid waste management system using industrial ecology approach: Evidence from India, Journal of Cleaner Production (2018), vol. 195, pages 10-20, doi: https://doi.org/10.1016/j.jclepro.2018.05.097
Jitender Kaushal, Prasenjit Basak, A Novel Approach for Determination of Power Quality Monitoring Index of an AC Microgrid using Fuzzy Inference System, Iranian Journal of Science and Technology, Transactions of Electrical Engineering (2018), vol. 42, issue 4, pages 429-450, doi: https://doi.org/10.1007/s40998-018-0087-z, Electronic ISSN 2364-1827, Print ISSN, 2228-6179
Amandeep Kaur, Jitender Kaushal and Prasenjit Basak, “A Review on Microgrid Central Controller”; Renewable & Sustainable Energy Reviews; Elsevier, ISSN: 1364-0321 Volume 55, March 2016, Pages 338-345. Online ISSN: 1879-0690, Print ISSN: 1364-0321, doi: https://doi.org/10.1016/j.rser.2015.10.141
Prasenjit Basak, S. Chowdhury, S. Halder nee Dey and S.P. Chowdhury, “A Literature Review on Integration of Distributed Energy Resources in the Perspective of Control, Protection and Stability of Microgrid,” Renewable & Sustainable Energy Reviews; Elsevier, Volume 16, Issue 8, October 2012, Pages 5545-5556, Online ISSN: 1879-0690, Print ISSN: 1364-0321, doi: https://doi.org/10.1016/j.rser.2012.05.043

Dr. Vishal Srivastava

A. Sharma, A. Agarwal, M. K. W. Kalenga, V. Gupta, and V. Srivastava, "AI in Parkinson’s disease: A short review of machine learning approaches for diagnosis," Processes, vol. 14, no. 2, Art. no. 199, 2026.
L. Rishi, D. Singh, V. Srivastava, and V. Gupta, "Engineering in healthcare: A comprehensive review on 3D-printed biopolymer-based implants," Polym. Int., early access, Nov. 11, 2025.
V. S. R. P. Akula, S. Basu, K. K. Goyal, O. P. Verma, V. Gupta, and V. Srivastava, "Efficiency takes flight: 3D-printed A2212 brushless direct current outrunner motor propelling next-gen drone deliveries," J. Mater. Eng. Perform., vol. 34, pp. 17185–17194, 2025.
B. Dhiman, S. Kamboj, and V. Srivastava, "Leveraging bidirectional long short-term memory in a encoder-decoder architecture to fuse inter-slice information for enhancing burn tissue segmentation using optical coherence tomography," Biomed. Signal Process. Control, vol. 107, Art. no. 107873, 2025.
V. S. R. P. Akula, S. Basu, K. K. Goyal, O. P. Verma, V. Gupta, and V. Srivastava, "Efficiency takes flight: 3D-printed A2212 brushless direct current outrunner motor propelling next-gen drone deliveries," J. Mater. Eng. Perform., 2024, doi: 10.1007/s11665-024-10525-3.
S. Sharma et al., "Machine learning for forecasting the biomechanical behavior of orthopedic bone plates fabricated by fused deposition modelling," Rapid Prototyping J., 2024.

B. Dhiman, S. Kamboj, and V. Srivastava, "Explainable AI based efficient ensemble model for breast cancer classification using optical coherence tomography," Biomed. Signal Process. Control, vol. 91, p. 106007, 2024.
S. Sharma et al., "Optimization of polydopamine coating process for poly lactic acid-based 3D printed bone plates using machine learning approaches," Polym. Eng. Sci., vol. 64, no. 1, pp. 279-295, 2024.
S.Sharma et al., "Predicting biomechanical properties of additively manufactured polydopamine coated poly lactic acid bone plates using deep learning," Eng. Appl. Artif. Intell., vol. 124, p. 106587, 2023.
S. Basu, R. Agarwal, and V. Srivastava, "Development of an Intelligent Full‐Field Polarization Sensitive Optical Coherence Tomography for Breast Cancer Classification," J. Biophotonics, p. e202200385, 2023.
S. Basu, R. Agarwal, and V. Srivastava, "Deep discriminative learning model with calibrated attention map for the automated diagnosis of diffuse large B-cell lymphoma," Biomed. Signal Process. Control, vol. 76, 2022.
Tulsi Anna, Sandeep Chakraborty, Chia-Yi Cheng, Vishal Srivastava, Arthur Chiou, Wen-Chuan Kuo, “Elucidation of microstructural changes in leaves during senescence using spectral domain optical coherence tomography” , Scientific reports, 9, (2019), (Nature Publishing Group)
Neeru Singla, Kavita Dubey and Vishal Srivastava, “Automated assessment of breast cancer margin in optical coherence tomography images via pre-trained convolutional neural network,” Journal of Biophotonics, , Vol. 12, 3, (2019).
Anshul Gaur, Abhishek Singh, Ashok Kumar, Kishor S Kulkarni, Sayantani Lala, Kamal Kapoor, Vishal Srivastava, Anuj Kumar, SC Mukhopadhyay, “Fire Sensing Technologies: A Review”, IEEE Sensors, Vol 19, 9, (2019).
Anurag Verma, Surya Prakash, Vishal Srivastava, Anuj Kumar, and S. C. Mukhopadhyay, “Sensing, Controlling, and IoT Infrastructure in Smart Building: A Review”, IEEE Sensors , Vol 19, 20, (2019).
Neeru Singla, Vishal Srivastava, Dalip Singh Mehta, “Development of full-field optical spatial coherence tomography system for automated identification of malaria using the multilevel ensemble classifier" Journal of Biophotonics, Vol. 11, 5, (2018).
Kavita Dubey, Vishal Srivastava, and Krishna Dalal, "In Vivo Automated Quantification of Thermally Damaged Human Tissue Using Polarization Sensitive Optical Coherence Tomography ", Computerized Medical Imaging and Graphics, Vol. 64, (2018).
Neeru Singla, Vishal Srivastava, and Dalip Singh Mehta, "In vivo classification of human burn skin using machine learning and quantitative features captured by optical coherence tomography" Laser Physics Letter, Vol 15, 2, (2018).
Kavita Dubey, Neeru Singla, Ankit Butola, Astitwa Lathe, Darakhshan Quaiser, Anurag Srivastava, Dalip Singh Mehta, Vishal Srivastava, “Ensemble classifier for improve diagnosis of the breast cancer using optical coherence tomography and machine learning”, Laser Physics Letter, Vol. 16, 2, (2019).
Veena Singh, Vishal Srivastava, D S Mehta, “Machine learning-based screening of red blood cells using quantitative phase imaging with micro-spectrocolorimetry” Optics and Laser Technology, Vol. 124, (2020).

Dr. M. D. Singh

Panchal, J.; Singh, M.I.; Sandha, K.S.; Singh, M. Multi-Database EEG Integration for Subject-Independent Emotion Recognition in Brain–Computer Interface Systems. Mathematics 2026, 14, 474.
Singh, A.; Arora, V.; Singh, M. Entropy-Based Phonocardiogram Classification Using Continuous and Synchrosqueezed Wavelet Transforms: A Systematic Comparison. Diagnostics 2026, 16, 2223.
Panchal, J.; Singh, M.I.; Singh, M.; Sandha, K.S. Design and Validation of Low-Cost, Portable Impedance Analyzer System for Biopotential Electrode Evaluation and Skin/Electrode Impedance Measurement. Sensors 2025, 25, 3688
Arya, P.; Singh, M.; Singh, M. Visualizing Relaxation in Wearables: Multi-Domain Feature Fusion of HRV Using Fuzzy Recurrence Plots. Sensors 2025, 25, 4210
Singh, A.; Arora, V.; Singh, M. Heart Sound Classification Using Harmonic and Percussive Spectral Features from Phonocardiograms with a Deep ANN Approach. Appl. Sci. 2024, 14, 10201.
Arya, P., Singh, M. & Singh, M.D. Multi-domain analysis of ultra-short-term HRV for breathing pattern classification in wearable health devices. EURASIP J. Adv. Signal Process. 2024, 99 (2024)
Panchal, J., Singh, M.I., Sandha, K.S. et al. Rapid Fabrication Technique for Dry Electrocardiography Electrodes Using Carbon Nanotube/Polydimethylsiloxane Composite. J. Electron. Mater. 53, 2633–2645 (2024)
Sirohi, Vijay, Saggu, Tejinder Singh and Singh, Mandeep. "Performance analysis of SRFT based D-STATCOM for power quality improvement in distribution system under different loading conditions" International Journal of Emerging Electric Power Systems, vol. 25, no. 6, 2024, pp. 885-894.
Amandeep Cheema, Mandeep Singh, Mohit Kumar, Gautam Setia, Combined empirical mode decomposition and phase space reconstruction based psychologically stressed and non-stressed state classification from cardiac sound signals, Biomedical Signal Processing and Control, Volume 82, 2023, 104585,
Virk, J.S.; Singh, M.; Singh, M.; Panjwani, U.; Ray, K. A Multimodal Feature Fusion Framework for Sleep-Deprived Fatigue Detection to Prevent Accidents. Sensors 2023, 23, 4129.

J. S. Virk and M. Singh, "An intelligent framework for detection of fatigue induced by sleep-deprivation," J. Intell. Fuzzy Syst., 2022
Mandeep Singh, S. Singh, S. Gupta, Information fusion based method for liver classification using texture analysis of ultrasound images, Information Fusion, Vol. 19, pp 91-96, 2014. [SCI Impact Factor 10.71].
Amandeep Cheema and Mandeep Singh, An application of phonocardiography signals for psychological stress detection using non-linear entropy based features in empirical mode decomposition domain, Applied Soft Computing, Volume 77, April 2019, Pages 24-33. [ SCI Impact Factor 3.90].

Mandeep Singh and Amandeep Cheema, Psychological stress detection using phonocardiography signal: An empirical mode decomposition approach, Biomedical Signal Processing and Control, 49(3) pages 493-505. [SCI Impact Factor 2.94].

Dr. S.K. Aggarwal

Shubham, S. Pandey, S. K. Aggarwal, and V. Chopra, “Hybrid fractional-order PIλDµ–PD control scheme for power system with modelling nonlinearities and renewable resources,” Journal of Engineering Research, vol. 14, no. 2, pp. 1759–1772, Jun. 2026.
S. Shringi, L. M. Saini, and S. K. Aggarwal, “A review of data-driven deep learning models for solar and wind energy forecasting,” Renewable Energy Focus, no. 5, Art. no. 100739, Dec. 2025.
S. Shringi, L. M. Saini, and S. K. Aggarwal, “Multi-step-ahead wind power forecasting based on multi-feature wavelet decomposition and convolutional gated recurrent unit model,” Electrical Engineering, vol. 107, pp. 9445–9466, 2025.
N. Rani, S. K. Aggarwal, and S. Kumar, “Short-term load forecasting using a combination of linear and nonlinear models,” IEEE Access, 2024.

N. Rani, S. K. Aggarwal, S. Kumar, "Combining varying training data-based artificial intelligence models for energy price forecasting," J. Chin. Inst. Eng., vol. 46, no. 7, pp. 766-780, 2023.
S. K. Aggarwal, L. M. Saini, V. Sood, "Large wind farm layout optimization using nature inspired meta-heuristic algorithms," IETE J. Res., vol. 69, no. 5, pp. 2683-2700, 2023
P. Jood, S. K. Aggarwal, and V. Chopra, "Adaptive Neuro-Fuzzy Based Load Frequency Control in Presence of Energy Storage Devices," Intell. Autom. Soft Comput., vol. 34, no. 2, pp. 785-804, 2022.
S Saroha, SK Aggarwal: Wind Power Forecasting Using Wavelet Transform and General Regression Neural Network for Ontario Electricity Market, Recent Advances in Electrical & Electronic Engineering 13 (1), 16-26, 2020 [ESCI] .
P Jood, SK Aggarwal, V Chopra: Performance assessment of a neuro-fuzzy load frequency controller in the presence of system non-linearities and renewable penetration; Computers & Electrical Engineering 74, 362-378 (2019). [SCI Impact Factor 2.189].
S Saroha, S. K. Aggarwal: Wind power forecasting using wavelet transforms and neural networks with tapped delay; CSEE Journal of Power and Energy Systems 4 (2), 197-209 (2018). [SCI Impact Factor 2.68].
S. K. Aggarwal, and L.M. Saini, “Solar energy prediction using linear and non-linear regularization models: A study on AMS 2013-14 Solar Energy Prediction Contest,” Energy, Vol. 78, December 2014, pp. 247-256 [SCI Impact Factor 5.537]
S. K. Aggarwal, Arun Goel, and V.P. Singh, “Stage and discharge forecasting by ANN and SVM techniques,” Water Resources Management, Vol. 26, 2012, pp. 3705-3724 [SCI Impact Factor 2.987 ]
S. K. Aggarwal, L.M. Saini, Ashwani Kumar, “Parameter optimization using Genetic Algorithm for SVM based price-forecasting model in National Electricity Market,” IET – Generation, Transmission and Distribution, vol. 4, no. 1, January 2010, pp. 36-49. [SCI Impact Factor 3.229]
S. K. Aggarwal, L.M. Saini, Ashwani Kumar, “Electricity Price Forecasting in Deregulated Markets: A Review and Evaluation”, International Journal of Electrical Power and Energy Systems, Vol. 31, Issue 1, January 2009, Pages 13-22. [SCI Impact Factor 4.418]
S. K. Aggarwal, L.M. Saini, Ashwani Kumar, “Day-ahead price forecasting in Ontario electricity market using variable segmented Support Vector Machine based Model”, Electrical Power Components and Systems, vol. 37, no. 5, May 2009, pp. 495-516. [SCI Impact Factor 0.888]
S. K. Aggarwal, L.M. Saini, Ashwani Kumar, “Electric price forecasting in Ontario electricity market using wavelet transform in artificial neural network based model,” International Journal of Control, Automation and Systems, vol. 6, no. 5, pp. 639-650, October 2008. [SCI Impact Factor 2.181]
S.K. Aggarwal, L.M. Saini, Ashwani Kumar, “Price forecasting using wavelet transform and LSE based mixed model in Australian electricity market”, International Journal of Energy Sector Management, vol. 2, no. 4, pp. 521-546 (2008). [ESCI, Scopus]
P Jood, SK Aggarwal, V Chopra: Performance assessment of a neuro-fuzzy load frequency controller in the presence of system non-linearities and renewable penetration; Computers & Electrical Engineering 74, 362-378 (2019). [SCI Impact Factor 2.189].
S Saroha, SK Aggarwal: Wind power forecasting using wavelet transforms and neural networks with tapped delay; CSEE Journal of Power and Energy Systems 4 (2), 197-209 (2018). [SCI Impact Factor 2.68].
S.K. Aggarwal, and L.M. Saini, “Solar energy prediction using linear and non-linear regularization models: A study on AMS 2013-14 Solar Energy Prediction Contest,” Energy, Vol. 78, December 2014, pp. 247-256 [SCI Impact Factor 5.537]
S.K. Aggarwal, Arun Goel, and V.P. Singh, “Stage and discharge forecasting by ANN and SVM techniques,” Water Resources Management, Vol. 26, 2012, pp. 3705-3724 [SCI Impact Factor 2.987 ]
S.K. Aggarwal, L.M. Saini, Ashwani Kumar, “Parameter optimization using Genetic Algorithm for SVM based price-forecasting model in National Electricity Market,” IET – Generation, Transmission and Distribution, vol. 4, no. 1, January 2010, pp. 36-49. [SCI Impact Factor 3.229]
S.K. Aggarwal, L.M. Saini, Ashwani Kumar, “Electricity Price Forecasting in Deregulated Markets: A Review and Evaluation”, International Journal of Electrical Power and Energy Systems, Vol. 31, Issue 1, January 2009, Pages 13-22. [SCI Impact Factor 4.418] <li>
S.K. Aggarwal, L.M. Saini, Ashwani Kumar, “Day-ahead price forecasting in Ontario electricity market using variable segmented Support Vector Machine based Model”, Electrical Power Components and Systems, vol. 37, no. 5, May 2009, pp. 495-516. [SCI Impact Factor 0.888]
S.K. Aggarwal, L.M. Saini, Ashwani Kumar, “Electric price forecasting in Ontario electricity market using wavelet transform in artificial neural network based model,” International Journal of Control, Automation and Systems, vol. 6, no. 5, pp. 639-650, October 2008. [SCI Impact Factor 2.181].
S.K. Aggarwal, L.M. Saini, Ashwani Kumar, “Price forecasting using wavelet transform and LSE based mixed model in Australian electricity market”, International Journal of Energy Sector Management, vol. 2, no. 4, pp. 521-546 (2008). [ESCI, Scopus].
S Saroha, SK Aggarwal: Wind Power Forecasting Using Wavelet Transform and General Regression Neural Network for Ontario Electricity Market, Recent Advances in Electrical & Electronic Engineering 13 (1), 16-26, 2020 [ESCI]
J Singh, SK Aggarwal, A Kaur: Distribution transformer monitoring for smart grid using FPGA: a case study implementation in Indian conditions; International Journal of Systems, Control and Communications 8 (4), 269-290 (2017). [InderScience Publishers, Scopus].
A Ahuja, SK Aggarwal: Application of unified Smith predictor for load frequency control with communication delays; WSEAS Transactions on Systems and Control 10, 237-248 (2015) [Scopus].
S Saroha, SK Aggarwal: A review and evaluation of current wind power prediction technologies; WSEAS Transaction on Power System, 10, 1-12 (2015) [Scopus].
A Ahuja, SK Aggarwal: Design of fractional order PID controller for DC motor using evolutionary optimization techniques; WSEAS Transactions on Systems and Control 9, 171-182 (2015) [Scopus].
S.K. Aggarwal, L.M. Saini, Ashwani Kumar, “Short term price forecasting in deregulated electricity markets: A review of statistical models and key issues”, International Journal of Energy Sector Management, vol. 3, no. 4, pp. 333-358 (2009). [ESCI, Scopus].
S Saroha, SK Aggarwal: Hybrid WT-PSO based Neural Networks for Single Step-Ahead Wind Power Prediction for Ontario Electricity Market; International Journal of Electrical Engineering and Informatics, vol. 7, no. 2 (July 2015) [Scopus]

Dr. Surya Prakash

Thakur, H., Pindoriya, R. M., & Prakash, S. (2026). Integrated Modeling and Machine Learning Based Fault Diagnosis of BLDC Motor Drive for EV Applications. IETE Journal of Research, 1–17. https://doi.org/10.1080/03772063.2026.2683552. [2026].
Mandeep Sharma, Sandeep Dhundhara, Yogender Arya, Surya Prakash, ‘Harris Hawks optimization assisted Fuzzy-PI^λ controller for frequency stabilization in renewable integrated power systems’, Optimal Control Applications and Methods, (Wiley). https://onlinelibrary.wiley.com/doi/epdf/10.1002/oca.70037, Pg,1-17. 2025. [TIF 1.5] Q2.
RS Bajpai, Surya Prakash, Apoorva Srivastava and Amarjeet Singh, ANN-Based Fast Charging 1. Control Strategy for Electric Vehicles with Intelligent Battery Thermal Management using Renewable Energy Resources, IEEE Transactions on Transportation Electrification. https://ieeexplore.ieee.org/document/10994311 . Oct. 2025. {TIF 8.5]. Q1
Abhishek Chauhan, Surya Prakash, ‘Optimal parameter estimation of solar photovoltaics through nature inspired metaheuristic and hybrid approaches’, IETE Journal of Research, Vol 70, Issue 2, Pp 1937-1955, 2024. [TIF: 2.333]. https://doi.org/10.1080/03772063.2023.2171913.
Mandeep Sharma, Sandeep Dhundhara, Yogender Arya, Surya Prakash, Sahaj Saxena, ‘Frequency stabilization in sustainable energy sources integrated power systems using a novel cascade noninteger fuzzy controller’, Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, Vol. 44, No. 3, Pp 6213–6235, 20223, https://doi.org/10.1080/15567036.2022.2091693. [TIF: 2.902].
Anurag Verma, Surya Prakash & Anuj Kumar, ‘A novel design approach for indoor environmental quality based on a multiagent system for intelligent buildings in a smart city: Towards occupant's comfort’, Environmental Progress & Sustainable Energy, Wiley, DOI: 10.1002/ep.13895. 2022. [TIF: 2.824].
Abhishek Chauhan, Surya Prakash, ‘Comparison and Performance Analysis of Pheromone Value and Cannibalism based Black Widow Optimisation Approaches for Modelling and Parameter Estimation of Solar Photovoltaic Mathematical Models, O p t i k, International Journal for Light and Electron Optics, Volume 259, June 2022, 168943. doi: https://doi.org/10.1016/j.ijleo.2022.168943. (2022). [TIF: 2.840].
Abhishek Chauhan, Surya Prakash, ‘A Novel Black Widow Optimisation Approach to Improve the Precision in Parameter Estimation Problem of Solar Photovoltaic Electrical Model’, Environmental Progress & Sustainable Energy. doi: 10.1002/ep.13846. Volume41, Issue5. 2022. [TIF: 2.824].
Abhishek Chauhan & Surya Prakash, Parameter Estimation and Analysis of Photovoltaics through a Hybrid Emperor Penguin Optimisation Approach under Different Environmental Constraints, IETE Journal of Research, Vol 69: Issue 7, Pp 4721-4737, DOI: 10.1080/03772063.2021.1951378 , 2021, [TIF: 2.333].
Abhishek Chauhan, Surya Prakash, ‘A new emperor penguin optimization-based approach for solar photovoltaic parameter estimation’, International Transaction on Electrical Energy Systems, 31(3), DOI: 10.1002/2050-7038.12917. 2021 [TIF: 2.860].
Mandeep Sharma, Surya Prakash, Sahaj Saxena (2021), ‘Robust Load Frequency Control Using Fractional-order TID-PD Approach Via Salp Swarm Algorithm’, IETE Journal of Research, DOI: 10.1080/03772063.2021.1905084. 2021. [TIF: 2.333].
Mandeep Sharma, Surya Prakash, Sahaj Saxena & Sandeep Dhundhara (2021), ‘Optimal Fractional-Order Tilted-Integral-Derivative Controller for Frequency Stabilization in Hybrid Power System Using Salp Swarm Algorithm’, Electric Power Components and Systems, DOI: 10.1080/15325008.2021.1906792. 2021. Pp 1912-1931. [TIF: 1.576].
Mandeep Sharma, Sandeep Dhundhara, Yogender Arya, Surya Prakash, ‘Frequency stabilization in deregulated energy system using coordinated operation of fuzzy controller and redox flow battery’, International Journal of Energy Research, 45(5), pp 7457-7475, DOI: 10.1002/er.6328, 2020. [TIF: 5.164] Q1.
Atul Kumar Choudhary, Surya Prakash, Mandeep Sharma, Sandeep Dhundhara, ‘Grasshopper Optimization Based Robust Power/Frequency Regulator for Shipboard Microgrid’, IET Renewable Power Generation. Volume 14, Issue 17, p. 3568 – 3577, 2020, DOI: 10.1049/iet-rpg.2020.0849 [TIF: 3.930].
Mandeep Sharma, Sandeep Dhundhara, Yogendra Arya, Surya Prakash, ‘Frequency excursion strategy using novel COA optimized FPI^λDF controller in wind integrated power systems’, IET Renewable Power Generation, 14(19), pp 4071–4085, 2020, doi: 10.1049/iet-rpg.2020.0882. [TIF: 3.930].
Anurag Verma, Surya Prakash & Anuj Kumar (2020), ‘AI-based Building Management and Information System with Multi-agent Topology for an Energy-efficient Building: Towards Occupants Comfort’, IETE Journal of Research (TIJR), DOI: 10.1080/03772063.2020.1847701, 2020. [TIF: 2.333].
Anurag Verma, Surya Prakash, Anuj Kumar, ‘ANN-based energy consumption prediction model up to 2050 for a residential building: Towards sustainable decision making’, Environmental Progress & Sustainable Energy, DOI: http://dx.doi.org/10.1002/ep.13544, Wiley, 2020. [TIF: 2.431]
Anurag Verma, Surya Prakash, Anuj Kumar, ‘A comparative analysis of data-driven based optimization models for energy-efficient buildings’, IETE Journal of Research (TIJR), DOI: https://doi.org/10.1080/03772063.2020.1838347, 2020. [TIF: 2.333]
Ankush Dutta, Surya Prakash, ‘Utilizing Electric Vehicles and Renewable Energy Sources for Load Frequency Control in Deregulated Power System using Emotional Controller’, IETE Journal of Research, Volume 68 Issue 2, DOI: 10.1080/03772063.2019.1654936. -2019. [TIF: 2.333].
Ankush Dutta, Surya Prakash, ‘Load Frequency Control of Multi-area Hybrid Power System integrated with Renewable Energy Sources utilizing FACTS & Energy Storage System’, Environmental Progress & Sustainable Energy, DOI: 10.1002/EP.13329. Vol. 39 Issue 2, Pp 1-13. [TIF: 2.84]-2019.
Anurag Verma, Surya Prakash, Vishal Srivastava, Anuj Kumar, and S. C. Mukhopadhyay, ‘Sensing, Controlling, and IoT Infrastructure in Smart Building: A Review’, IEEE Sensors Journal. DOI: 10.1109/JSEN.2019.2922409. Vol. 19, No. 20, Oct 2019. [TIF: 4.325]-2019.
Mandeep Sharma, R. K Bansal, Surya Prakash, Sajjad Asefi, ‘MVO Algorithm Based LFC Design of a Six Area Hybrid Diverse Power Systems Integrating IPFC and RFB’, IETE Journal of Research, Vol. 67, Issue 3, May-June 2021. (67:3, 394-407), (https://doi.org/10.1080/03772063.2018.1548908). [TIF:2.333]-2019
Mandeep Sharma, R. K. Bansal, Surya Prakash, “Robustness Analysis of Load Frequency Controller for Multi Area Power System Integrated With SMES-TCPS by Artificial Intelligent Technique”, [JEET] Journal of Electrical Engineering & Technology, Springer- (DOI: 10.1007/s42835-018-00035-3), Volume 14, Issue 1, pp 97–110, January 2019. [TIF: 1.928]-2019
Surya Prakash & S K Sinha (2019),’ ALFC of hybrid multi-generation power system using UC and TCPS by ANFIS control technique’, International Journal of Electronics, Vol.106: Issue 2, pp 174-211, DOI: 10.1080/00207217.2018.1519857. [TIF: 1.457]-2019
Vishal Srivastava, Devjyoti Dalal, Anuj Kumar, Surya Prakash and Krishna Dalal, ‘In vivo automated quantification of quality of apples during storage using optical coherence tomography images’, Laser Physics, Volume 28, Number 6, 9 May 2018. DOI: https://doi.org/ 10.1088/1555-6611/aab485. [TIF:2.016]-2018
Sumedha Sharmaa, Amit Dua, Mukesh Singh, Neeraj Kumar, Surya Prakash, ‘Fuzzy rough set based energy management system for self-sustainable smart city’, Renewable & Sustainable Energy Reviews, Volume 82, Part 3, Pp 3633-3644, Feb. 2018. [TIF: 16.799]-2018-Q1
Surya Prakash & Sunil K. Sinha, ‘Automatic Load Frequency Control of Six Areas’ Hybrid Multi-Generation Power Systems Using Neuro-Fuzzy Intelligent Controller, IETE Journal of Research, Vol. 64, Issue 4, Pp 471-481, DOI: 10.1080/03772063.2017.1361869. 2018. [TIF:2.333]-2017
Surya Prakash, SK Sinha. ‘Load Frequency Control of Multi-Area Power Systems Using Neuro-Fuzzy Hybrid Intelligent Controllers’, IETE Journal of Research; DOI: 10.1080/03772063.2015.1024765. Vol. 61, issue 5, pp 526-532. Taylor & Francis, 2015. [TIF:2.333]

Dr. Gagandeep Kaur

S. Ganguli, G. Kaur, and P. Sarkar, "Global heuristic methods for reduced-order modelling of fractional-order systems in the delta domain: a unified approach," Ricerche Mat., vol. 73, pp. 907–935, 2024
S. Ganguli, G. Kaur, and P. Sarkar, "An approximate model matching technique for controller design of linear time-invariant systems using hybrid firefly-based algorithms," ISA Trans., vol. 127, pp. 437-448, 2022
K. Rao, M. Bansal, and G. Kaur, "Retinex-centered contrast enhancement method for histopathology images with weighted CLAHE," Arab J. Sci. Eng., vol. 47, pp. 13781–13798, 2022.
P. Bhatia, G. Kaur, and N. Singh, "Ozagrel a thromboxane A2 synthase inhibitor extenuates endothelial dysfunction, oxidative stress and neuroinflammation in rat model of bilateral common carotid artery occlusion induced vascular dementia," Vascular Pharmacol., vol. 137, p. 106827, 2021
Sharad Kumar Tiwari and Gagandeep Kaur, “Model Reduction by New Clustering method and Frequency Response Matching,”Journal of Control, Automation and Electrical Systems, Spriger,pp. 1-7, 2016
Sharad Kumar Tiwari and Gagandeep Kaur, “An Improved Method using Factor Division Algorithm for Reducing the Order of Linear Dynamical System” Sadhana - Academy Proceedings in Engineering Science, Springer-pp-1-7, 2016.
Sharad Kumar Tiwari and Gagandeep Kaur, “Model Reduction of LTI Systems using Spectral Projection with Application to Power Systems,” 7th India IEEE-International Conference on Power Electronics, Nov. 2016.
Sharad Kumar Tiwari and Gagandeep Kaur, “Modified Method for Reducing the Order of LTI System using Factor Division Algorithm,” IEEE-International Conference on Computing for Sustainable Global Development pp-2595-1602, March, 2016.
Sharad Kumar Tiwari and Gagandeep Kaur, “Order reduction using improved pole clustering with Pade approximation method for linear system,” International Journal of System Control and Information Processing, Vol. 1,No. 4, pp.1-12, 2015.
Sharad Kumar Tiwari and Gagandeep Kaur, “A Modified Method for Reducing the multi-variable Large Scale Linear Time Invariant System,” International Journal of Sensing, Computing and Control, Vol. 3, No. 2, pp.70-79, December. 2013.

Dr. Jainy Sachdeva

Sachdeva, J., Sharma, D., Ahuja, C. and Singh, A. (2024), Efficient-Residual Net—A Hybrid Neural Network for Automated Brain Tumor Detection. Int J Imaging Syst Technol, 34: e23170.
Sharma, D.K., Sachdeva, J., Ahuja, C.K. et al. A Novel Hybrid Multimodal Medical Image Fusion Scheme Based on Non-subsampled Shearlet Transform. Circuits Syst Signal Process 43, 3627–3648 (2024)
Jainy Sachdeva, Riyaansh Mittal, Jiya Mehta, Riya Jain, Anmol Ranjan, Resolving autism spectrum disorder (ASD) through brain topologies using fMRI dataset with multi-layer perceptron (MLP), Psychiatry Research: Neuroimaging, Volume 343, 2024, 111858
Jainy Sachdeva, Puneet Mishra, Deeksha Katoch, Diabetic retinopathy data augmentation and vessel segmentation through deep learning based three fully convolution neural networks, Image and Vision Computing, Volume 151, 2024, 105284,
Jainy Sachdeva, Deepanshu Sharma, Chirag Kamal Ahuja, Multiscale segmentation net for segregating heterogeneous brain tumors: Gliomas on multimodal MR images, Image and Vision Computing, Volume 149, 2024, 105191
J. Sachdeva, D. Sharma, C. K. Ahuja, "Comparative Analysis of Different Deep Convolutional Neural Network Architectures for Classification of Brain Tumor on Magnetic Resonance Images," J. Arch. Comput. Methods Eng., pp. 1-20, 2024.
R. K. Sidhu, J. Sachdeva, and D. Katoch, "Segmentation of retinal blood vessels by a novel hybrid technique- Principal Component Analysis (PCA) and Contrast Limited Adaptive Histogram Equalization (CLAHE)," vol. 148, pp. 1-19, 2023.
S. S. Hussain, J. Sachdeva, C. K. Ahuja, and A. Singh, "Enc-Unet: A novel method for Glioma segmentation," Int. J. Imaging Syst., vol. 33, pp. 465-482, 2023.
D. Sharma, J. Sachdeva, C. Ahuja, and N. Khandelwal, "Multimodal Medical Image Fusion Using Nonsubsampled Shearlet Transform and Smallest Uni-Value Segment Assimilating Nucleus," 2022/03/25, 2022/03/30.

Dr. Manbir Kaur

Economic Dispatch of Multiple Fuel based Thermal units with Valve-Point effects using Self Adaptive Differential Evolution, Manbir Kaur, Jaspreet Singh Dhillon, Amit Kumar, 5th International conference on Computer Applications in Electrical Engineering Recent Advances: Smart Grid Technologies (CERA 2013) organised by Electrical Engg dept. , IIT Roorkee during Oct. 3-5, 2013, at Roorkee.
Self-organizing Particle Swarm Optimization for Economic Generation Dispatch incorporating Wind Power, Manbir Kaur, Dimple Garg, 5th International conference on Computer Applications in Electrical Engineering Recent Advances: Smart Grid Technologies (CERA 2013) organised by Electrical Engg dept. , IIT Roorkee during Oct. 3-5, 2013, at Roorkee
Generation Adequacy assessment in Power System with Wind Energy Source, IEEE conference on Modern Electric Power Systems (MEPS 2015), June 07-09, 2015, Wroclaw, Polland.
Investigation of Optimal Allocation of Wind DG in Distribution System, 7th IEEE international Conference on Power Electronics (IICPE2016), Thapar University, Patiala, Nov 17-19, 2016.
Meta-heuristic approach to intelligent solution of microgrid with storage Element, 7th IEEE international Conference on Power Electronics (IICPE2016), Thapar University, Patiala, Nov 17-19, 2016.
Unit Commitment Scheduling by Employing Artificial Neural Network Based Load Forecasting, 7th IEEE international Conference on Power Electronics (IICPE2016), Thapar University, Patiala, Nov17-19, 2016.
Investigation of Water Drop on Silicone Rubber Insulator for High Voltage Transmission Line Using FEM, IEEE 8th Power India International Conference (PIICON), 2018, Dec. 18-20, 2018, NIT Kurukshetra,
Numerical Investigation of Particle Effect on Water Drop under High Voltage Silicone Rubber Insulator, International Conference on High Voltage Engineering and Technology (ICHVET 2019)”, Feb. 7-8, 2019, Hyderabad.

Classification of Shunt Type Faults Using Convolutional Neural Network, 2019 International Workshop On Artificial Intelligence And Deep Learning Methods For Human Centric Systems (AIDL-HCSY 2019), Ireland.

Short Term Load Forecasting using Modular Neural Network, International Conference On Artificial Intelligence And Applications ( IEEE-ICAIA 2019), NOV 20-21, 2019, Roorkee.

Dr. Nitin Narang

Kaur A.; Narang N. “Multi-objective generation scheduling of integrated energy system using hybrid optimization technique”, Neural Computing and Applications, 36 (3), 1215-1236, 2024.
Anand H.; Verma A.; Narang N.; Dhillon J.S., “A novel scheduling approach of stochastic cogeneration model in power system environment using improved civilized swarm search algorithm to reduce cost and carbon emission”, Journal of Cleaner Production, 434, 140277, 2024.

A. Kaur, A. Arunpreet, and N. Narang, "Multi-objective generation scheduling of integrated energy system using hybrid optimization technique," Neural Computing and Applications, vol. 1, pp. 1-22, 2023.
M. Kaur and N. Narang, "Optimal Power Flow Solution Using Space Transformational Invasive Weed Optimization Algorithm," Iranian Journal of Science and Technology, Transactions of Electrical Engineering, vol. 1, pp. 1-27, 2023.
A. Kaur and N. Narang, "Economic Emission Generation Scheduling of Interconnected Energy System Using Hybrid Optimization Technique," Iranian Journal of Science and Technology, Transactions of Electrical Engineering, vol. 47, no. 1, pp. 103-124, 2023.
H. Anand, N. Narang, and J. S. Dhillon, "An enhanced approach for solving multi‐objective cogeneration based unit commitment problem," Environmental Progress & Sustainable Energy, vol. 41, no. 4, pp. e13773, 2022.
H. Anand, N. Narang, and J. S. Dhillon, "Multi-objective profit based commitment and dispatch of cogeneration system using decision making strategy approach," IETE Technical Review, vol. 39, no. 3, pp. 642-653, 2022
Nitin Narang, Era Sharma and J.S. Dhillon, “Combined heat and power economic dispatch using integrated civilized swarm optimization,” Applied Soft Computing, vol. 52, March, pp. 190-202, 2017, [IF: 4.837].
Nitin Narang, “Short-term hydrothermal generation scheduling using improved predator influenced civilized swarm optimization technique,” Applied Soft Computing, vol. 58, pp. 207-224, 2017, [IF: 4.837].
Nitin Narang, “Hydro-thermal generation scheduling using integrated Gravitational search algorithm and Predator prey optimization technique,” Neural Computing & Applications, vol. 30(2), pp. 519-538, 2018, [IF: 4.664].
Rituraj Singh Patwal, Nitin Narang and Harish Garg, “A novel TVAC-PSO based mutation strategies algorithm for generation scheduling of pumped storage hydrothermal system incorporating solar units”, Energy, vol. 142, pp. 822-837, 2018, [IF: 5.537].
Himanshu Anand, Nitin Narang, and J.S. Dhillon, “Profit based unit commitment using hybrid optimization technique”, Energy, vol. 148, pp. 701-715, 2018, [IF: 5.537].
Rituraj Singh Patwal and Nitin Narang, “Crisscross PSO algorithm for multi-objective generation scheduling of pumped storage hydrothermal system incorporating solar units”, Energy Conversion and Management, vol. 169, pp. 238-254, 2018, [IF: 7.181].
Himanshu Anand, Nitin Narang, and J.S. Dhillon, “Unit commitment considering dual-mode combined heat and power generating units using integrated optimization technique”, Energy Conversion and Management, vol. 171, pp. 984-1001,2018, [IF: 7.181].
Himanshu Anand, Nitin Narang, and J.S. Dhillon, “Multi-objective combined heat and power unit commitment using particle swarm optimization”, Energy, vol. 172, pp. 794-807, 2019, [IF: 5.537].
Arunpreet Kaur, Nitin Narang, “Optimum generation scheduling of coordinated power system using hybrid optimization technique”, Electrical Engineering, vol. 101, pp. 379-408, 2019, [IF: 1.296].
Mandeep Kaur, Nitin Narang, “An integrated optimization technique for optimal power flow solution”, Soft Computing, https://doi.org/10.1007/s00500-019-04590-3, [IF:2.784]
Nitin Narang, J.S. Dhillon and D.P. Kothari, “Multi-objective Fixed Head Hydrothermal Scheduling using Integrated Predator-prey Optimization and Powell Search Method,” Energy, vol. 47(1), pp 237-252, 2012, [IF: 5.537].
Nitin Narang, J.S. Dhillon and D.P. Kothari, “Multi-objective Short-term Hydrothermal Generation Scheduling Using Predator–Prey Optimization,” Electric Power Components and Systems, vol. 40(15), pp. 1708–1730, 2012, [IF: 0.888].
Nitin Narang, J.S. Dhillon and D.P. Kothari, “Scheduling short-term hydrothermal generation using predator-prey optimization technique,” Applied Soft Computing, vol. 21, August, pp. 298-308, 2014, [IF: 4.837].
Nitin Narang, J.S. Dhillon and D.P. Kothari, “Weight pattern evaluation for multi-objective hydrothermal generation scheduling using hybrid search technique,” International Journal of Electrical Power & Energy Systems, vol. 62, November, pp. 665-678, 2014, [IF: 4.418].

Dr. Deepti Mittal

A. Krishan and D. Mittal, “Multi-class liver cancer diseases classification using CT images,” The Computer Journal, vol. 66, no. 3, pp. 525–539, 2023.
A. Krishan and D. Mittal, "Feature based CT image registration of liver cancer," Proc. Inst. Mech. Eng. Part H J. Eng. Med., vol. 236, no. 1, pp. 3-11, 2022.
J. Kaur, D. Mittal, and R. Singla, "Diabetic Retinopathy Diagnosis Through Computer-Aided Fundus Image Analysis: A Review," Arch. Comput. Methods Eng., vol. 29, pp. 1673–1711, 2022
A. Krishan and D. Mittal., “Effective segmentation and classification of tumor on liver MRI and CT images using multi-kernel K-means clustering”, Biomedical Engineering/Biomedizinische Technik, pp. 1-13, 2019, https://doi.org/10.1515/bmt-2018-0175. [SCI Impact Factor 1.007]
A. K. Bedi, R. K. Sunkaria and D. Mittal, “Ultrasound Image Despeckling and Enhancement using Modified Multiscale Anisotropic Diffusion Model in Non-Subsampled Shearlet Domain”, The Computer Journal, pp. 1-16, 2019, doi:https://doi.org/10.1093/comjnl/bxz131. [SCI Impact Factor 0.98]
J. Kaur and D. Mittal, “Estimation of severity level of non-proliferative diabetic retinopathy for clinical aid,” Biocybernetics and Biomedical Engineering, vol. 38, no. 3, pp. 708-732, 2018.[SCI Impact Factor 2.159]
P. Bharti, D. Mittal and R. Ananthasivan, “Characterization of chronic liver disease based on ultrasound images using the variants of grey-level difference matrix,” Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, vol. 232, no. 9, pp. 357-379, 2018.[SCI Impact Factor 1.317]

P. Bharti, D. Mittal and R. Ananthasivan, “Preliminary Study of Chronic Liver Classification on Ultrasound Images Using an Ensemble Model,” Ultrasonic imaging, vol. 40, no. 6, pp. 708-732, 2018.[SCI Impact Factor 2.490]
J. Kaur and D. Mittal, “A generalized method for the segmentation of exudates from pathological retinal fundus images,” Biocybernetics and Biomedical Engineering, vol. 38, no. 1, pp. 27-53, 2018. [SCI Impact Factor 2.159]
J. Kaur and D. Mittal, “A generalized method for the detection of vascular structure in pathological retinal images,” Biocybernetics and Biomedical Engineering, vol. 37, no. 1, pp. 184-200, 2017. [SCI Impact Factor 2.159]
P. Bharti, D. Mittal, R. Ananthasivan, “Computer-aided characterization and diagnosis of diffuse liver diseases based on ultrasound imaging: a review.” Ultrasonic Imaging, vol. 39, no. 1, pp. 33-67, 2017. [SCI Impact Factor 2.490]
D. Mittal, “Impact of modified anisotropic diffusion–based enhancement method in computer-aided classification of focal liver lesions”, Ultrasonic Imaging, vol. 39, no. 2, pp. 96-107, 2017. [SCI Impact Factor 2.490]
D. Mittal, K. Kumari, “Automated detection and segmentation of drusen in retinal fundus images”, Computers and Electrical Engineering, vol. 47, pp. 82–95, 2015. [SCI Impact Factor 2.189]

Dr. Parag Nijhawan

Sharma M.; Nijhawan P.; Sinha A. “Enhanced energy management through BESS controllers in industrial rooftop solar PV systems: A case study analysis” Electric Power Systems Research, 248, 11920, 2025.
M. K. Singla, J. Gupta, M. Safaraliev, P. Nijhawan, and A. S. Oberoi, "Hydrogen storage in activated carbon for fuel cell-powered vehicles: A cost-effective and sustainable approach," Int. J. Hydrogen Energy, Elsevier, pp. 446-458, 2024.
M. K. Singla, J. Gupta, P. Nijhawan, M. H. Alsharif, and M.-K. Kim, "Sustainable development of fuel cell using enhanced weighted mean of vectors algorithm," Heliyon, Cell Press, pp. 1-36, 2023
M. Sharma, P. Nijhawan, and A. Sinha, "Techno-economic comparative analysis of hybrid renewable energy systems with and without battery energy storage system," Int. J. Green Energy, Taylor & Francis, pp. 1-27, 2023.
M. K. Singla, J. Gupta, B. Singh, P. Nijhawan, A. Y. Abdelaziz, and A. El-Shahat, "Parameter estimation of fuel cells using a hybrid optimization algorithm," Sustainability, MDPI, pp. 1-21, 2023.
M. K. Singla, J. Gupta, P. Nijhawan, A. S. Oberoi, M. H. Alsharif, and A. Jahid, "Role of a unitized regenerative fuel cell in remote area power supply: a review," Energies, vol. 16, no. 15, p. 5761, pp. 1-21, 2023.
M. K. Singla, M. H. Hassan, J. Gupta, F. Jurado, P. Nijhawan, and S. Kamel, "An enhanced efficient optimization algorithm (EINFO) for accurate extraction of proton exchange membrane fuel cell parameters," Soft Comput., pp. 1-20, 2023.
B. Singh, M. K. Singla, and P. Nijhawan, "Parameter estimation of four diode solar photovoltaic cell using hybrid algorithm," Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, Taylor & Francis, pp. 4597-4613, 2022.
B. Singh, P. Nijhawan, M. K. Singla, J. Gupta, and P. Singh, "Hybrid algorithm for parameter estimation of fuel cell," Int. J. Energy Res., Hindawi, pp. 1-12, 2022
J. Gupta, P. Nijhawan, and S. Ganguli, "Optimal sizing of different configuration of photovoltaic, fuel cell, and biomass-based hybrid energy system," Environ. Sci. Pollut. Res., Springer Nature, pp. 17425-17440, 2022.
Parag Nijhawan, Ravinder Singh Bhatia and Dinesh Kumar Jain.; Improved performance of multilevel inverter based DSTATCOM with induction furnace load." IET Power Electronics 6(9) 2013: 1939-1947.

Amandeep Singh Oberoi, Parag Nijhawan and Parminder Singh; A novel electrochemical hydrogen storage-based Proton Battery for renewable energy storage." Energies 12(1) 2019: 1-15.

Diksha Kapoor, Amandeep Singh Oberoi and Parag Nijhawan; HydrogenpProduction and subsequent adsorption/desorption process within a modified unitized regenerative fuel cell." Processes 7 2019: 1-19.

Sourav Dhiman and Parag Nijhawan. " Design & analysis of improved bus-tied photovoltaic system for marine ships; Indian Journal of Geo Marine Sciences 48(12) 2019: 1963-1970.
Parag Nijhawan, Ravinder Singh Bhatia and Dinesh Kumar Jain.; Analysis of different control methods of Z-Source inverters feeding induction furnace load International Review of Automatic Control 7(2) 2014: 166-175.

Manish Kumar Singla, Parag Nijhawan, Amandeep Singh Oberoi, Parminder Singh; Application of Levenberg Marquardt algorithm for Short Term Load Forecasting: a theoretical investigation." Pertanika Journal of Science and Technology 27(3) 2019: 1227-1245.
Parag Nijhawan, Ravinder Singh Bhatia and Dinesh Kumar Jain; Application of PI controller based DSTATCOM for improving the power quality in a power system network with induction furnace load; Songklanakarin Journal of Science and Technology 34(2) 2012: 195-201.

Parag Nijhawan.; A novel approach for simulation of transmission line compensation; International Journal of Engineering and Technology 2(5) 2010: 336-342.

Nirbhowjap Singh

V. Raizada, N. J. Singh, V. Chopra, J. Kaur, R. Lamba, “Fractional order PID controller design using predator effect inspired artificial bee colony algorithm,” Journal of Engineering Research, 2026.
N. J. Singh, V. Chopra, S. Pandey, “Artificial bee colony with predator effect algorithm for proportional integral derivative controller tuning,” Journal of Vibration and Control, vol. 30, no. 23-24, pp. 5287-5297, 2024.
P. Chourey, K. Soni, N. J. Singh, R. Agarwal, “IoT-Sodar network for airshed management planning,” IETE Journal of Research, vol. 69, no. 10, pp. 6931-6945, 2023.
V. Chopra, N. J. Singh, R. Kumar, V. Sharma, “Position control of pmbldc motor using SVR-and ANFIS-based controllers,” National Academy Science Letters, vol. 45, no. 1, pp. 57-60, 2022.
S. Singh, N. Singh, A. Gupta, “System sizing of hybrid solar‐fuel cell battery energy system using artificial bee colony algorithm with predator effect,” International journal of energy research, vol. 46, no. 5, pp. 5847-5863, 2022.
P. Chourey, N. J. Singh, K. Soni, R. Agarwal, “SODAR based meteorological sensor network for air pollution monitoring in Northern India,” Mapan, vol. 37, no. 4, pp. 901-915, 2022.
P. Chourey, N. J. Singh, K. Soni, R. Agarwal, “A novel signal conditioning system for SODAR,” Measurement Science and Technology, vol. 33, no. 11, pp. 115801, 2022.
P. Chourey, N. J. Singh, K. Soni, R. Agarwal, “IoT-Enabled Sensor Node for Environmental Monitoring,” Recent Advances in Metrology: Select Proceedings of AdMet 2021, pp. 353-362, 2022.
N. J. Singh, V. Chopra, S. Pandey, S. Singh, “Artificial bee colony with predator effect algorithm for PID controller tuning,”, 2022.
K. Soni, N. Kumar, A. S. Nair, P. Chourey, N. J. Singh, R. Agarwal, “Artificial Intelligence: Implementation and obstacles in industry 4.0,” Handbook of metrology and applications, pp. 1-23, 2022.
K. Soni, A. S. Nair, N. Kumar, P. Chourey, N. J. Singh, R. Agarwal, “Development of Calibrated and Validated SODAR with Reference of Air Quality Management,” Handbook of Metrology and Applications, pp. 1-25, 2022.
K. Soni, P. Chourey, N. Kumar, N. J. Singh, R. Agarwal, A. S. Nair, “Fusion of Smart Meteorological Sensors, Remote Sensing Techniques, and IoT in Context of Industry 4.0,” Handbook of Metrology and Applications, pp. 1-26, 2022.
N. J. Singh, S. Singh, V. Chopra, M. A. Aftab, S. S. Hussain, T. S. Ustun, “Chaotic evolutionary programming for an engineering optimization problem,” Applied Sciences, vol. 11, no. 6, pp. 2717, 2021.
S. Singh, P. Chauhan, N. J. Singh, “Feasibility of grid-connected solar-wind hybrid system with electric vehicle charging station,” Journal of Modern Power Systems and Clean Energy, vol. 9, no. 2, pp. 295-306, 2020.
S. Singh, P. Chauhan, N. Singh, “Capacity optimization of grid connected solar/fuel cell energy system using hybrid ABC-PSO algorithm,” International Journal of Hydrogen Energy, vol. 45, no. 16, pp. 10070-10088, 2020.
N. J. Singh, J. Dhillon, D. Kothari, “Non-interactive approach to solve multi-objective thermal power dispatch problem using composite search algorithm,” Applied Soft Computing, vol. 65, pp. 644-658, 2018.
N. J. Singh, J. Dhillon, D. Kothari, “Multiobjective thermal power load dispatch using adaptive predator–prey optimization,” Applied Soft Computing, vol. 66, pp. 370-383, 2018.
N. J. Singh, J. Dhillon, D. Kothari, “Multi-objective thermal power load dispatch using chaotic differential evolutionary algorithm and Powell’s method,” Soft Computing, vol. 22, pp. 2159-2174, 2018.
N. J. Singh, J. Dhillon, D. Kothari, “Hybrid Search Method for Optimization in Real Parameter space,”, 2017.
N. J. Singh, J. Dhillon, D. Kothari, “Surrogate worth trade-off method for multi-objective thermal power load dispatch,” Energy, vol. 138, pp. 1112-1123, 2017.
N. J. Singh, J. Dhillon, D. Kothari, “Synergic predator-prey optimization for economic thermal power dispatch problem,” Applied Soft Computing, vol. 43, pp. 298-311, 2016.

Dr. Manoj Badoni

V. K. Singh, B. Chikondra, S. Pandey, M. Badoni, and R. N. Tripathi, “A sampling time-based comprehensive analysis of finite control set MPC for the solar PV-fed quadruple boost multilevel inverter,” IET Electr. Power Appl., Art. no. e70188, doi: 10.1049/elp2.70188, 2026.
A. Singh, M. Badoni, and A. K. Mishra, “Solar powered on-board charging system utilizing coupled inductor high gain converter with G2V and V2G operations,” Electric Power Systems Research, vol. 244, Art. no. 111553, 2025.
A. Singh, M. Badoni, and A. Mishra, “An efficient on-board charging system for light EVs using high-gain SCBZ converter with G2V and V2G capabilities,” Int. J. Circuit Theory Appl., 2025, doi: 10.1002/cta.70017.
M. Badoni, A. Singh, R. N. Tripathi, R. Kumar, and V. K. Singh, “Fractional order pole fixed second order generalized integrator based control for grid connected solar photovoltaic system,” IET Power Electron., accepted for publication, 2024.
K. Nagendra, K. Varun, G. Som Pal, K. Santosh, S. Semwal, M. Badoni, and R. Kumar, “A comprehensive approach to load frequency control in hybrid power systems incorporating renewable and conventional sources with electric vehicles and superconducting magnetic energy storage,” Energies, vol. 17, no. 23, Art. no. 5939, 2024, doi: 10.3390/en17235939.
M. Pattnaik, M. Badoni, and Y. Tatte, “PKLMP based control technique for improving performance of multifunctional grid integrated PV system,” Electric Power Systems Research, vol. 217, Art. no. 109096, 2023, doi: 10.1016/j.epsr.2022.109096.
M. Badoni, A. Singh, S. Pandey, and B. Singh, “Fractional-order notch filter for grid-connected solar PV system with power quality improvement,” IEEE Trans. Ind. Electron., vol. 69, no. 1, pp. 429–439, Jan. 2022.
S. Joshi, R. Tripathi, M. Badoni, R. Kumar, and P. Khetrapal, “Design and development of non-linearly controlled Class-D audio amplifier,” Electronics, vol. 11, no. 1, Art. no. 77, 2022.
M. Pattnaik, M. Badoni, and Y. Tatte, “Application of Gaussian-sequential-probabilistic-inference concept based Kalman filter for accurate estimation of state of charge of battery,” J. Energy Storage, vol. 54, Art. no. 105244, 2022.
Y. Tatte, M. Aware, and M. Badoni, “Modified direct torque control technique of induction motor for torque ripple and common-mode voltage reduction with neutral-point voltage balancing,” Iran. J. Sci. Technol., Trans. Electr. Eng., vol. 46, pp. 1207–1221, 2022.
R. Kumar, R. Singh, H. Ashfaq, S. K. Singh, and M. Badoni, “Power system stability enhancement by damping and control of sub-synchronous torsional oscillations using whale optimization algorithm based Type-2 wind turbines,” ISA Trans., vol. 108, pp. 240–256, 2021.
M. Badoni, A. Singh, S. Semwal, and Y. Tatte, “Control of DSTATCOM using nonparametric variable step-size NLMS: An experimental study,” Electric Power Systems Research, vol. 199, Art. no. 107411, 2021, doi: 10.1016/j.epsr.2021.107411.
R. Kumar, S. Diwania, P. Khetrapal, S. Singh, and M. Badoni, “Multimachine stability enhancement with hybrid PSO-BFOA based PV-STATCOM,” Sustainable Computing: Informatics and Systems, vol. 32, Art. no. 100615, 2021, doi: 10.1016/j.suscom.2021.100615.
R. Kumar, P. Khetrapal, M. Badoni, and S. Diwania, “Evaluating the relative operational performance of wind power plants in Indian electricity generation sector using two-stage model,” Energy & Environment, Sep. 2021, doi: 10.1177/0958305X211043531.
A. K. Singh, M. Badoni and Y. Tatte, "A Multifunctional Solar PV and Grid Based On-Board Converter for Electric Vehicles," Accepted in IEEE Transactions on Vehicular Technology, 2020. (Impact Factor: 5.339)
A. K. Singh, K. A. Chinmaya and M. Badoni, "Solar PV and Grid Based Isolated Converter for Plug-in Electric Vehicles," IET Power Electronics, vol. 12, no. 14, pp. 3707-3715, 27 11 2019.
Manoj Badoni, Alka Singh and Bhim Singh, “Implementation of Immune Feedback Control Algorithm for Distribution Static Compensator, IEEE Transactions on Industry Applications (Early Access), 2018.

Manoj Badoni, Alka Singh, Vijay P Singh and Ravi Nath, “Grid interfaced solar photovoltaic system using ZA-LMS based control algorithm,” Electric Power Systems Research, vol. 160, pp. 261-272, 2018. (Impact Factor: 2.688 )
Manoj Badoni, Alka Singh and Bhim Singh, “Power Quality Improvement Using DSTATCOM with Affine Projection Algorithm,” IET Generation, Transmission and Distribution, vol. 12, iss 13, 2018. (Impact Factor: 2.213).
Manoj Badoni, Alka Singh and Bhim Singh, “Implementation of Echo-State Network Based Control for Power Quality Improvement,” vol. 64, iss. 7, pp. 5576-5584, IEEE Transactions on Industrial Electronics, 2017. (Impact Factor: 7.168 )

Manoj Badoni, Alka Singh and Bhim Singh, “Comparative Performance of Wiener Filter and Adaptive Least Mean Square based Control for Power Quality Improvement,” IEEE Transactions on Industrial Electronics, vol. 63, no. 5, pp. 3028-3037, 2016. (Impact Factor: 7.168 )

Manoj Badoni, Alka Singh and Bhim Singh, “Adaptive Recursive Inverse Based Control Algorithm for Shunt Active Power Filter,” IET Power Electronics, vol. 9, iss. 5, pp. 1053-1064, 2016. (Impact Factor: 3.547)
Manoj Badoni, Alka Singh and Bhim Singh, “An Implementation of Variable Step Size Least Mean Square Based Control Algorithm for DSTATCOM,” International Transactions on Electrical Energy Systems, vol. 26, iss. 7, pp. 1540–1554, July 2016. (Impact Factor: 1.085 )
Manoj Badoni, Alka Singh and Bhim Singh, “Adaptive Neuro Fuzzy Inference System Least Mean Square Based Control Algorithm for DSTATCOM,” IEEE Transactions on Industrial Informatics, vol.12, iss. 2, pp. 483-492, 2016. (Impact Factor: 6.764)

Manoj Badoni, Alka Singh and Bhim Singh, “Variable Forgetting Factor Recursive Least Square Control Algorithm for DSTATCOM,” IEEE Transactions on Power Delivery, vol. 30, no. 5, pp. 2353-2361, 2015. (Impact Factor: 3.218)

Manoj Badoni, Alka Singh and Bhim Singh, “Design and Implementation of ANFIS Based Control Algorithm for DSTATCOM,” Electric Power Components & Systems, Taylor and Francis, vol. 43, iss. 15, pp. 1741-1751, 2015. (Impact Factor: 1.220)

Dr. Sahaj Saxena

S. Kamboj, S. Saxena, and S. K. Singla, “Surrogate-based tuning of PID controllers,” Actuators, vol. 15, no. 4, Art. no. 189, 2026.
S. Saxena and N. Kumar, “Safe glucose regulation in artificial pancreas systems via robust control barrier functions,” Transactions of the Institute of Measurement and Control, early access, Dec. 2025, doi: 10.1177/01423312251405018.
J. Singh, V. K. Singh, D. Mondal, and S. Saxena, “Prescribed finite-time backstepping control for blood glucose regulation in type 1 diabetes,” Computers in Biology and Medicine, vol. 196, pt. B, Art. no. 110737, Sep. 2025.
V. Singh, D. Harursampath, S. Dhawan, M. Sahni, S. Saxena, and R. Mallick, “Physics-informed neural network for solving a one-dimensional solid mechanics problem,” Modelling, vol. 5, no. 4, pp. 1532–1549, 2024.
P. Mehra, S. Saxena, and S. Bhullar, “A comprehensive analysis of supercapacitors and their equivalent circuits—A review,” World Electric Vehicle Journal, vol. 15, no. 8, Art. no. 332, 2024.
A. Balayan, R. Mallick, S. Dwivedi, S. Saxena, B. Haorongbam, and A. Sharma, “Optimal design of quadcopter chassis using generative design and lightweight materials to advance precision agriculture,” Machines, vol. 12, no. 3, Art. no. 187, 2024.
A. Kumar and S. Saxena, “Parameter estimation in a system of integro-differential equations with time-delay,” IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 70, no. 11, pp. 4158–4160, Nov. 2023.
A. Ranjan, U. Mehta, and S. Saxena, “A comprehensive review of modified Internal Model Control (IMC) structures and their filters for unstable processes,” Annual Reviews in Control, vol. 56, Art. no. 100895, 2023.
M. Sharma, S. Prakash, and S. Saxena, “Robust load frequency control using fractional-order TID-PD approach via salp swarm algorithm,” IETE Journal of Research, vol. 69, no. 5, pp. 2710–2726, 2023.
M. Sharma, S. Saxena, S. Prakash, S. Dhundhara, and Y. Arya, “Frequency stabilization in sustainable energy sources integrated power systems using novel cascade noninteger fuzzy controller,” Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, vol. 44, no. 3, pp. 6213–6235, 2022.
S. Saxena and Y. V. Hote, “Design of robust fractional-order controller using the Bode ideal transfer function approach in IMC paradigm,” Nonlinear Dynamics, vol. 107, pp. 983–1001, 2022.
S. Saxena and S. Biradar, “Fractional-order IMC controller for high-order system using reduced-order modelling via Big-Bang, Big-Crunch optimisation,” International Journal of Systems Science, vol. 53, no. 1, pp. 168–181, 2022.
S. Jain, Y. V. Hote, and S. Saxena, “Fractional order PID design using Big Bang–Big Crunch algorithm and order reduction: Application to load frequency control,” Electric Power Components and Systems, vol. 49, no. 6–7, pp. 624–636, 2021.
S. Saxena, S. Bhatia, and R. Gupta, “Cybersecurity analysis of load frequency control in power systems: A survey,” Designs, vol. 5, no. 3, Art. no. 52, 2021.
S. Saxena and Y. V. Hote, “Robustly stabilizing proportional integral controller for uncertain system under computational delay,” Journal of Vibration and Control, vol. 27, no. 19–20, pp. 2268–2278, 2021.
S. Saxena and E. Fridman, “Event-triggered load frequency control via switching approach,” IEEE Transactions on Power Systems, vol. 35, no. 6, pp. 4484–4494, Nov. 2020.
S. Jain, Y. V. Hote, and S. Saxena, “Model order reduction of commensurate fractional-order systems using Big Bang–Big Crunch algorithm,” IETE Technical Review, vol. 37, no. 5, pp. 453–464, 2020.
S. Bhonsle and S. Saxena, “A review on control-relevant glucose–insulin dynamics models and regulation strategies,” Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, vol. 234, no. 5, pp. 596–608, 2020.
M. Sharma, S. Prakash, S. Saxena, and S. Dhundhara, “Optimal fractional-order tilted-integral-derivative controller for frequency stabilization in hybrid power system using salp swarm algorithm,” Electric Power Components and Systems, vol. 48, no. 18, pp. 1912–1931, 2020.

Sakshi Bhonsle and Sahaj Saxena, A review on control-relevant glucose–insulin dynamics models and regulation strategies, Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, (published online) Aug. 30, 2019.
Sahaj Saxena, Load frequency control strategy via fractional-order controller and reduced order modeling, International Journal of Electrical Power & Energy Systems, vol. 104, pp. 603-614, Jan. 2019.
Manan Mittal, Birinchi Bora, Sahaj Saxena and Anshu Mli Gaur, Performance prediction of PV module using electrical equivalent model and artificial neural network, Solar Energy, vol. 176, pp. 104-117, Oct. 2018.
Sandeep D. Hanwate, Yogesh V. Hote and Sahaj Saxena, Adaptive policy for load frequency control, IEEE Transactions on Power Systems, vol. 33, no. 1, pp. 1142-1144, Jan. 2018.
S. M. Biradar, Yogesh V. Hote and Sahaj Saxena, Reduced-order modelling of linear time invariant systems using big bang big crunch optimization and time moment matching method, Applied Mathematical Modelling, vol. 40, no. 15-16, pp. 7225-7244, 2016.
Sahaj Saxena and Yogesh V. Hote, Load frequency control in power systems via IMC scheme and model-order reduction, IEEE Transactions on Power Systems, vol. 28, no. 3, pp. 2749-2757, Aug., 2013.
Sahaj Saxena and Yogesh V. Hote, Advances in internal model control technique: a review and future prospects, IETE Technical Review, vol. 29, issue 6, pp. 461-472, Dec., 2012.

Dr. Krishna Kr. Gupta

N. D. Jeevan, N. K. Dewangan, B. M. Karthik, K. K. Gupta, A. Khanna, and A. Routray, “Machine learning-based switch fault localization in multilevel inverter,” Energy Reports, vol. 15, pp. 109253(1–14), 2026.
N. D. Jeevan, N. K. Dewangan, B. M. Karthik, K. K. Gupta, A. Routray, and A. Khanna, “Intelligent fault localization of switches in multilevel inverter,” International Transactions on Electrical Energy Systems, Wiley, accepted for publication, 2026.
Y. Singh, S. Singh, and K. K. Gupta, “A dual-source nine-level power electronics interface with common-ground configuration for grid-connected hybrid renewable systems,” Electrical Engineering, vol. 108, pp. 1–21, 2026.
N. K. Dewangan, N. D. Jeevan, K. K. Gupta, A. Routray, and H. Vahedi, “Fault detection and classification in five-level reduced device count multilevel inverter using fuzzy logic system,” Energy Science and Engineering, vol. 14, pp. 2626–2643, 2026.
N. Nayak, A. Murali, K. Jena, K. K. Gupta, D. Kumar, and N. Dewangan, “A novel three-phase switched capacitor multilevel inverter for PV applications,” Scientific Reports, in press, 2026. Available: https://www.nature.com/articles/s41598-026-54408-0
K. Jena, C. Panigrahi, K. K. Gupta, D. Kumar, and N. Dewangan, “A grid-tied voltage boosting multilevel inverter with reduced voltage stress and part count,” International Journal of Circuit Theory and Applications, vol. 54, pp. 981–994, 2026.
J. Singh, S. S. Mallick, B. Pal, K. K. Gupta, and S. Roy, “Overview on sodium ion batteries: Anode, cathode and electrolytes,” ChemistrySelect, vol. 10, issue e05, 2025.
Y. Singh, S. Singh, and K. K. Gupta, “Implementation of a multiport power converter for a hybrid renewable energy system,” Electrical Engineering, vol. 107, pp. 11789–11803, 2025.
G. Dhal, K. Jena, K. K. Gupta, C. K. Panigrahi, D. Kumar, P. K. Sahu, and L. Nanda, “Triple gain switched-capacitor based inverter with reduced component count,” Majlesi Journal of Electrical Engineering, vol. 19, no. 1, pp. 1–11, 2025.
K. Jena, K. K. Gupta, and D. Kumar, “A 4-X gain 9-level multilevel inverter topology with reduced part count,” Scientia Iranica, in press, 2025.
K. Jena, G. Dhal, K. K. Gupta, D. Kumar, V. Singh, and P. K. Sahu, “Switched capacitor-based 13-level multi-gain multilevel inverter with reduced switches and voltage stress,” Electrical Engineering, vol. 107, no. 4, pp. 4077–4090, 2025.
K. Jena, C. K. Panigrahi, K. K. Gupta, D. Kumar, and N. K. Dewangan, “A grid-tied voltage boosting multilevel inverter with reduced voltage stress and part count,” International Journal of Circuit Theory and Applications, vol. 54, no. 2, pp. 981–994, 2025.
R. Stala, S. Folmer, Z. Waradzyn, A. Penczek, S. Pirog, A. Skala, A. Mondzik, K. K. Gupta, P. Bhatnagar, and S. K. Jain, “Four-level single-stage single-source boost-inverter,” IEEE Access, vol. 12, pp. 120524–120542, 2024.
A. Chappa, S. Gupta, L. K. Sahu, K. K. Gupta, and H. Allamsetty, “Highly resilient 17-level fault-tolerant multilevel inverter topology with reduced capacitor size,” International Journal of Circuit Theory and Applications, vol. 52, no. 6, pp. 2803–2822, 2024.
K. Jena, K. K. Gupta, D. Kumar, N. K. Dewangan, and S. R. Kabat, “A 3-Φ switched-capacitor-based multilevel inverter with reduced voltage stress and part count,” Electrical Engineering, vol. 106, no. 3, pp. 2679–2690, 2024.
K. Jena, K. K. Gupta, D. Kumar, and S. R. Kabat, “Single-stage single-phase 5-level switched-capacitor multilevel inverter,” Iranian Journal of Science and Technology, Transactions of Electrical Engineering, vol. 48, no. 1, pp. 265–276, 2024.
Ritika Agarwal, Krishna Kumar Gupta, Shakti Singh, “A double boost 9-level switched capacitor-based multilevel inverter for photovoltaic applications,” International Journal of Circuit Theory and Applications, pp. 1-28, 2023, doi: https://doi.org/10.1002/cta.3596. (Impact Factor: 2.378)

Ritika Agarwal, Krishna Kumar Gupta, Shakti Singh, “A double boost 9-level switched capacitor-based multilevel inverter for photovoltaic applications,” International Journal of Circuit Theory and Applications, pp. 1-28, 2023, doi: https://doi.org/10.1002/cta.3596. (Impact Factor: 2.378)
Ritika Agarwal, Krishna Kumar Gupta, Shakti Singh, “A double boost 9-level switched capacitor-based multilevel inverter for photovoltaic applications,” International Journal of Circuit Theory and Applications, pp. 1-28, 2023, doi: https://doi.org/10.1002/cta.3596. (Impact Factor: 2.378)

Dr. Santosh Sonar

Saha N.K.; Mondal S.; Pal M.; Sonar S.; Basu A.; Kar S. Fixed-time event-triggered control strategy for multi-group multi-agent average consensus, Measurement and Control (United Kingdom), 2026.
Mondal S.; Pal M.; Sonar S.; Das P. Robust Fixed-Time Event-Triggered Control for Multi-Group Leader–Follower Consensus Using State-Dependent Variable Exponents, Iranian Journal of Science and Technology - Transactions of Electrical Engineering, 2026.
Ashraf S.; Sonar S.; Pandey S. “Topology and Space Vector Modulation Technique for Reduced Switch Count Modified Quasi-Z Source PV-Tied 3L-Inverter” Arabian Journal for Science and Engineering, 2026.
Ashraf S.; Sonar S.; Pandey S. Space vector control for optimized device commutations in controlled diode bridge clamped-based impedance source inverter, Electrical Engineering, 2025.
Sonar S.; Mondal S. An improved maximum boost control technique for CDBC-based three-level ZSI, International Journal of Electronics 111(8), 1403-1420 17, 2024.
Mondal S.; Sonar S.; Ghommam J., “A Fixed-Time Multi-Platoon Maneuvers with Actuator Saturation and Faults”, Iranian Journal of Science and Technology - Transactions of Electrical Engineering 48(1), 409-431, 22, 2024.
Mondal S.; Sonar S. A Fixed Time Extended State Observer Based Multi Leader Consensus Control for Merging and Splitting of Platoons, Journal of Electrical Engineering and Technology, 2024.

Santosh Sonar, Tanmoy Maity “Single phase transformer less wide range ac boost voltage regulator based on z-source network”, International journal of Electrical power and energy system, Elsevier, vol 47,2013,193-197. [SCI Impact Factor 4.42].
S. Singh and S. Sonar, "A New SVPWM Technique to Reduce the Inductor Current Ripple of Three-Phase Z-Source Inverter," in IEEE Transactions on Industrial Electronics, vol. 67, no. 5, pp. 3540-3550, May 2020.doi: 10.1109/TIE.2019.2916298 [SCI Impact Factor 7.56].
Satwant Singh & Santosh Sonar (2020) Controlled diode bridge clamped three level Z source inverter and its PWM control, EPE Journal, DOI: 10.1080/09398368.2020.1725860 [SCI Impact Factor 0.22].

Dr. Shakti Singh

Yadvendra Singh, Krishna Kumar Gupta, Shakti Singh, “ A dual-source nine-level power electronics interface with common-ground configuration for grid-connected hybrid renewable systems Electrical Engineering, 108, 297 (2026). https://doi.org/10.1007/s00202-026-03637-7
Renan Sen, Saurbah Shukla, Shakti Singh, Prashant Kumar, Ali Arzani, “Optimal Control Strategy of Grid-Integrated SPV Fed E-mobility with Novel RF-Based SOC Estimation for Seamless Mode Transition” IEEE Transactions on Industry Applications, 2026 DOI: 10.1109/TIA.2026.3675994
Yadvendra Singh, Krishna Kumar Gupta, Shakti Singh, “Implementation of a Multiport Power Converter for a Hybrid Renewable Energy System”, Electrical Engineering, (2025), (Impact factor: 1.630). (https://doi.org/10.1007/s00202-022-01535-2)
Ritika Agarwal, Krishna Kumar Gupta, Shakti Singh, “”. Double Boost 9-LevelSwitched Capacitor-based Multilevel Inverter for PV Applications International Journal of Circuit Theory and Applications ,3288-3315, (202), (https://doi.org/10.1002/cta.3596).
Ritika Agarwal, Krishna Kumar Gupta, Shakti Singh, “A Novel Self-boosting 5-Level Inverter for Grid-Connected Photovoltaic System”, Electric Power Systems Research, 211:108201, (2022), (https://doi.org/10.1016/j.epsr.2022.108201)
Ritika Agarwal, Krishna Kumar Gupta, Shakti Singh, “Switched Capacitors Based Single Phase Seven-Level Inverter with Self Voltage Balancing”, Electrical Engineering, (2022), (https://doi.org/10.1007/s00202-022-01535-2)
Shakti Singh, NirbhowJap Singh, Aditi Gupta “System Sizing of Hybrid Solar-Fuel Cell Battery Energy System sing Artificial Bee Colony Algorithm with Predator Effect”, International Journal of Energy Research, 46(5), pp 5847-5863, (2021), (https://doi.org/10.1002/er.7526)
Shakti Singh, Prachi Chauhan, NirbhowJap Singh. “Feasibility Study of a Grid Integrated Hybrid Solar-Wind Energy System Consisting an Electric Vehicle Charging Station”, Journal of Modern Power System and Clean Energy, 9(2), pp 295-306, Springer, (March 2021), (10.35833/MPCE.2019.000081)
NirbhowJap Singh, Shakti Singh, Mohd Asim Aftab, S. M. Suhail Hussain and Taha Selim Ustun “Chaotic Evolutionary Programming for an Engineering Optimization Problem”, applied science, 11, 2717 (2021), pp 1-12 (https://dx.doi.org/10.3390/ app11062717)
Shakti Singh, Prachi Chauhan, NirbhowJap Singh “Capacity optimization of grid connected solar/fuel cell energy system using hybrid ABC-PSO algorithm”. International Journal of Hydrogen Energy, (2020), (Impact factor: 4.084).
Shakti Singh, Prachi Chauhan, NirbhowJap Singh. “Feasibility Study of a Grid Integrated Hybrid Solar-Wind Energy System Consisting an Electric Vehicle Charging Station”. Journal of Modern Power system and clean Energy, Springer, (2019), (Impact factor: 2.848))
Shakti Singh, Shubhnagi Jagota, Mukesh Singh. “Energy Management and Voltage Stabilization in an Islanded Microgrid through an Electric Vehicle Charging Station”. Sustainable Cities and Society, Elsevier, 41, pp 679-694: (2018), (Impact factor: 4.624). (DOI: https://doi.org/10.1016/j.scs.2018.05.055)
Shakti Singh, Mukesh Singh, Subhash Chandra Kaushik. “Feasibility study of an islanded microgrid in rural area consisting of PV, wind, biomass and battery energy storage system”. Energy Conversion and Management, Elsevier, 128; pp.178-190:(2016), (Impact factor: 7.181). http://dx.doi.org/10.1016/j.enconman.2016.09.046
Shakti Singh, Subhash Chandra Kaushik. “Optimal sizing of grid integrated hybrid PV biomass energy system using artiﬁcial bee colony algorithm”. IET Renewable Power Generation,10(5); pp 642-650: (2016), (Impact factor: 3.605). doi: 10.1049/iet-rpg.2015.0298,
Shakti Singh, Mukesh Singh, Subhash Chandra Kaushik. “Optimal power scheduling of renewable energy systems in Microgrids using distributed energy storage system”. IET Renewable Power Generation, 10 (9), pp 1328-1339: (2016), (Impact factor: 3.605). doi: 10.1049/iet-rpg.2015.0552
Shakti Singh, Mukesh Singh, Subhash Chandra Kaushik. “A review on optimization technique on solar wind hybrid system”. International Journal of Green Energy, Taylor and Francis, 13(15), pp 1464-1478: (2016), (Impact factor: 1.83). http://dx.doi.org/10.1080/15435075.2016.1207079.
Shakti Singh, Prachi Chauhan, NirbhowJap Singh “Capacity optimization of grid connected solar/fuel cell energy system using hybrid ABC-PSO algorithm ". International Journal of Hydrogen Energy, (2020), (Impact factor: 4.084). (Accepted)
Shakti Singh, Shubhnagi Jagota Mukesh Singh. “Energy Management and Voltage Stabilization in an Islanded Microgrid through an Electric Vehicle Charging Station ". Sustainable Cities and Society, Elsevier, 41, pp 679-694: (2018), (Impact factor: 4.624).
Shakti Singh, Mukesh Singh, Subhash Chandra Kaushik. “Feasibility study of an islanded microgrid in rural area consisting of PV, wind, biomass and battery energy storage system".Energy Conversion and Management, Elsevier, 128; pp 178-190: (2016), (Impact factor:7.181).
Shakti Singh, Subhash Chandra Kaushik. “Optimal sizing of grid integrated hybrid PV-biomass energy system using artificial bee colony algorithm". IET Renewable Power Generation,10(5); pp 642-650: (2016), (Impact factor: 3.605).doi: 10.1049/iet-rpg.2015.0298,
Shakti Singh, Mukesh Singh, Subhash Chandra Kaushik. “Optimal power scheduling of renewable energy systems in Microgrids using distributed energy storage system". IET Renewable Power Generation, 10 (9), pp 1328-1339: (2016), (Impact factor: 3.605).doi: 10.1049/iet-rpg.2015.0552.

Dr. Souvik Ganguli

Rani N.; Ganguli S.; Singh M.; Saini S.S. “Preserving non-minimum phase dynamics in model order reduction of fifth-order DC-DC boost converters”, International Journal of Applied Power Engineering, 15(1), 165-176, 2026.
Rani N.; Ganguli S.; Singh M.; Saini S.S. “Advanced delta domain model order reduction and control of high-order interleaved DC-DC converters using metaheuristic optimization: a unified fractional-order system approach”, Electric Power Systems Research, 253, 112529, 2026.
Ganguli S.; Virmani C.; Vimal V.; Chhabra G.; Sinha G.; Sobirov B. “:Application of deep convolutional neural networks systems in autonomous vehicles”, International Journal of System of Systems Engineering, 15(1), 2025.
Kumar, A., & Ganguli, S. A new method to realize nonrational driving-point functions. International Journal of Circuit Theory and Applications, 1-13, https://doi.org/ 10.1002/cta.2751. (IF: 1.554).
Ganguli, S., Kaur, G., & Sarkar, P. Identification in the delta domain: a unified approach via GWOCFA. Soft Computing, 1-18, https://doi.org/10.1007/s00500-019-04232-8. (IF: 2.784).
Ganguli, S., Kaur, G., & Sarkar, P. (2019). A hybrid intelligent technique for model order reduction in the delta domain: a unified approach. Soft Computing, 23(13), 4801-4814. (IF: 2.784).
Ganguli, S., Kaur, G., & Sarkar, P. (2019). A novel hybrid metaheuristic algorithm for model order reduction in the delta domain: a unified approach. Neural Computing and Applications, 31(10), 6207-6221. (IF: 4.664).
Ganguli, S., Kaur, G., & Sarkar, P. (2019) Bacterial foraging algorithm and its applications: a brief review and future directions. Journal of Advanced Research in Dynamical & Control Systems, 11(07), 185-199.
Saxena, N., & Ganguli, S. (2015). Solar and wind power estimation and economic load dispatch using firefly algorithm. Procedia Computer Science, 70, 688-700.

Dr. Swati Sondhi

M. Kaur and S. Sondhi, “Energy-Aware Prioritised Double Q-Learning: A Novel Reinforcement Learning Approach for Nonlinear Robotic Systems,” IEEE Access, 2026.
M. Kaur, S. Sondhi, and V. K. Yanumula, “Design and Optimization of Controller‐Based Approach for Magnetic‐Field Driven Robotic Arm Joints and End‐Effector,” Journal of Field Robotics, 2025.
M. Kaur, S. Sondhi, and V. K. Yanumula, “Design of fractional order PDD controller for robotic arm using partial cancellation of non minimum phase zero,” Alexandria Engineering Journal, vol. 110, pp. 203-214, 2025.
M. Kaur, S. Sondhi, and V. K. Yanumula, “A novel fractional-order enhanced model reference adaptive controller (FOEMRAC) approach for magnetic end effectors,” Electrical Engineering, vol. 106, no. 4, pp. 4507-4525, 2024.
Bist and S. Sondhi, "A State Observer Based Fractional Order Approach for Trajectory Tracking and Attitude Control of Quadrotor," IETE Journal of Research, 2024.
M. Kaur, V. K. Yanumula, and S. Sondhi, “Trajectory planning and inverse kinematics solution of Kuka robot using COA along with pick and place application,” Intelligent Service Robotics, vol. 17, no. 2, pp. 289-302, 2024.
K. Bhullar, R. Kaur, and S. Sondhi, “Optimization of fractional order controllers for AVR system using distance and levy-flight based crow search algorithm,” IETE Journal of Research, vol. 68, no. 5, pp. 3900–3917, 2022.
K. Bhullar, R. Kaur, and S. Sondhi, "Modified Neural Network Algorithm Based Robust Design of AVR System Using the Kharitonov Theorem," International Journal of Intelligent Systems, vol. 37, no. 2, pp. 1339-1370, 2022.
Bist and S. Sondhi, "Fractional order sliding mode control based on delayed output observer for unmanned aircraft system," Aircraft Engineering and Aerospace Technology, vol. 94, no. 8, pp. 1303-1311, 2022
R. Singh, T. Dora, R. Lamba, A. K. Bhullar, and S. Sondhi, "FOPID Controller Design for a perturbed PHWR system using Enhanced Crow Search Algorithm," Progress in Nuclear Energy, vol. 151, pp. 104342, 2022.
Amrit Kaur Bhullar, Ranjit Kaur and Swati Sondhi, “A Novel Fuzzy Based Weighted Aggregation Based Multi Objective Function for AVR Optimization”, Journal of Intelligent & Fuzzy Systems, IOP Press. vol. 40, no. 5, pp. 9413-9436, 2021. (SCIE Impact factor- 1.851).
Amrit Kaur Bhullar, Ranjit Kaur and Swati Sondhi, “Enhanced Crow Search Algorithm for AVR Optimization”, Soft Computing, Springer. Vol. 24, no.16, pp.11957-11987, 2020. (SCIE Impact factor- 3.643).
Ruchika Lamba, S.K. Singla and Swati Sondhi, “Reduced Order Model Based FOPID Controller Design for Power Control in Pressurized Heavy Water Reactor”, Progress in Nuclear Energy, Elsevier Publications. vol. 125, pp. 103363. 2020. (SCIE Impact factor- 2.256).
Amrit Kaur Bhullar, Ranjit Kaur and Swati Sondhi, “Optimization of Fractional Controllers for AVR System Using Distance and Levy Flight based Crow Search Algorithm”, IETE Journal of Research, Taylor & Francis Publication. 2020.(SCIE Impact factor- 1.869).
Ruchika Lamba, S.K. Singla and Swati Sondhi, “Design of Fractional Order PID Controller for Load Frequency Control in Perturbed two area Interconnected System”, Electric Power Components and Systems, Taylor and Francis. vol. 47, issue 11-12, pp. 998-1011. 2019. (SCIE Impact factor- 1.071). Published online. (SCIE Impact factor- 2.333).
Ruchika Lamba, S.K. Singla and Swati Sondhi, “Fractional Order PID Controller for Power Control in Perturbed Pressurized Heavy Water Reactor”, Nuclear Engineering and Design, Elsevier Publication. Vol. 323, pp.84-94, 2017.
Swati Sondhi and Yogesh V. Hote "Fractional order PID controller for load frequency control", Energy Conversion and Management, Elsevier Publication, vol.85, pp.343-353, 2014. (SCIE Impact Factor-9.709).

Dr. Pawan Kumar

G. Singh, P. Kumar, and M. Singh, “New framework of smart readiness indicator for quantification of energy efficiency in buildings integrated with photovoltaic systems and electric vehicles using regression and machine learning,” Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, vol. 48, no. 1, p. 2692111, 2026.
B. Cao, W. Dong, Z. Lv, Y. Gu, S. Singh, and P. Kumar, “Hybrid microgrid many-objective sizing optimization with fuzzy decision,” IEEE Transactions on Fuzzy Systems, vol. 28, no. 11, pp. 2702–2710, 2020.
P. Kumar, D. V. Thanki, S. Singh, and S. Nikolovski, “A new framework for intensification of energy efficiency in commercial and residential use by imposing social, technical and environmental constraints,” Sustainable Cities and Society, vol. 62, p. 102400, 2020.
P. Kumar, I. Ali, M. S. Thomas, and S. Singh, “Imposing voltage security and network radiality for reconfiguration of distribution system using efficient heuristic and meta-heuristic approaches,” IET Generation, Transmission & Distribution, vol. 11, no. 10, pp. 2457–2467, Mar. 2017.
Ali, M. S. Thomas, and P. Kumar, “Energy efficient reconfiguration for practical load combination in distribution system,” IET Generation, Transmission & Distribution, vol. 9, no. 11, pp. 1051–1060, Aug. 2015.
P. Kumar, I. Ali, M. S. Thomas, and S. Singh, “A coordinated framework of DG allocation and operating strategy in distribution system for configuration management under varying loading patterns,” Electric Power Components and Systems, vol. 48, nos. 1–2, pp. 12–29, 2020.
P. Kumar, G. S. Brar, S. Singh, S. Nikolovski, H. R. Baghaee, and Z. Balkic, “Perspectives and intensification of energy efficiency in commercial and residential buildings using strategic auditing and demand-side management,” Energies, vol. 12, no. 23, p. 4539, 2019.
P. Kumar, S. Nikolovski, I. Ali, M. S. Thomas, and H. Ahuja, “Impact of electric vehicles on energy efficiency with energy boosters in coordination for sustainable energy in smart cities,” Processes, vol. 10, no. 8, p. 1593, 2022.
P. Kumar, S. Nikolovski, and I. Ali, “Introduction to the special section on innovative technologies for microgrid and smart-grid systems,” Electrical Engineering, vol. 77, pp. 414–415, 2019.
H. Ahuja and P. Kumar, “A novel approach for coordinated operation of variable speed wind energy conversion in smart grid applications,” Journal of Computer and Electrical Engineering, vol. 77, pp. 72–84, 2019.
S. Singh and P. Kumar, “MH-CACA: Multi-objective harmony search-based coverage aware clustering algorithm in WSNs,” Enterprise Information Systems, vol. 14, nos. 9–10, pp. 1325–1353, 2020.
P. Kumar, S. Singh, and R. Vijay, “Fast and accurate synthesis of frequency reconfigurable slot antenna using back propagation network,” International Journal of Electronics and Communications, vol. 112, p. 152962, 2019.
H. Shukla, S. Nikolovski, M. Raju, A. S. Rana, and P. Kumar, “A particle swarm optimization technique tuned TID controller for frequency and voltage regulation with penetration of electric vehicles and distributed generations,” Energies, vol. 15, no. 21, p. 8225, 2022.
S. Vishnoi, S. Nikolovski, M. Raju, M. K. Kirar, A. S. Rana, and P. Kumar, “Frequency stabilization in an interconnected micro-grid using smell agent optimization algorithm-tuned classical controllers considering electric vehicles and wind turbines,” Energies, vol. 16, no. 6, p. 2913, 2023.
H. Shukla, S. Nikolovski, M. Raju, A. S. Rana, and P. Kumar, “SMES-GCSC coordination for frequency and voltage regulation in a multi-area and multi-source power system with penetration of electric vehicles and renewable energy sources,” Energies, vol. 16, no. 1, p. 251, 2023.

Dr. Moon Inder Singh

J. Panchal, M. I. Singh, K. S. Sandha, and M. Singh, “Multi-database EEG integration for subject-independent emotion recognition in brain–computer interface systems,” Mathematics, vol. 14, no. 3, p. 474, 2026.
J. Panchal, M. I. Singh, M. Singh, and K. S. Sandha, “Design and validation of low-cost, portable impedance analyzer system for biopotential electrode evaluation and skin/electrode impedance measurement,” Sensors, vol. 25, no. 12, p. 3688, 2025.
J. Panchal, K. S. Sandha, M. I. Singh, and M. Singh, “Rapid fabrication technique for dry electrocardiography electrodes using carbon nanotube/polydimethylsiloxane composite,” Journal of Electronic Materials, pp. 1–13, 2024.
M. I. Singh, “Impact of project-based learning and think-pair-share interventions on UG students of engineering,” European Chemical Bulletin, vol. 12, no. 4, 2023.
Singh and M. Singh, “Transition of emotions from the negatively excited state to positive unexcited state: An ERP perspective,” Metrology and Measurement Systems, pp. 405–423, 2022.
M. I. Singh and M. Singh, “Emotion recognition: An evaluation of ERP features acquired from frontal EEG electrodes,” Applied Sciences, vol. 11, no. 9, p. 4131, 2021.
M. I. Singh and M. Singh, “Development of emotion classifier based on absolute and differential attributes of averaged signals of visually stimulated event-related potentials,” Transactions of the Institute of Measurement and Control, vol. 42, no. 11, pp. 2057–2067, 2020.
M. I. Singh and M. Singh, “Development of low-cost event marker for EEG-based emotion recognition,” Transactions of the Institute of Measurement and Control, 2015, doi: 10.1177/0142331215620698.
M. I. Singh and M. Singh, “Development of a real-time emotion classifier based on evoked EEG,” Bio-cybernetics and Biomedical Engineering, vol. 37, no. 3, pp. 498–509, 2017.

Dr. Sangeeta Kamboj

S. Kamboj, S. Saxena, and S. K. Singla, “Surrogate-based tuning of PID controllers,” Actuators, MDPI, pp. 1–36, March 2026.
B. Dhiman, V. Srivastava, and S. Kamboj, “Leveraging bidirectional long short-term memory in an encoder-decoder architecture to fuse inter-slice information for enhancing burn tissue segmentation using optical coherence tomography,” Biomedical Signal Processing and Control, vol. 107, pp. 1–10, Sep. 2025, Elsevier.
G. Mitra, S. Kamboj, and M. Rai, “Modelling and analysis of randomly distributed optimised structure of mixed CNT bundle interconnects—Impact on crosstalk induced delay,” Multimedia Tools and Applications, Springer, Feb. 2024.
Dhiman, V. Srivastava, and S. Kamboj, "A TOPSIS based Ensemble Model for Breast Cancer Classification Using Optical Coherence Tomography," Biomedical Signal Processing and Control, Jan. 2024.
Rakheja, S. Khera, N. Turk, and S. Kamboj, "Parametric analysis of dynamic routing protocol for wireless sensor networks," Multimedia Tools Appl., vol. 82, no. 25, pp. 39035-39055, 2023.
Neelam Turk, Sangeeta Kamboj, Sonam Khera, Neha Rajput, "Performance Analysis of Different Restoration Techniques for Degraded 3D Cervical Spine MRI Image", Biomedical and Pharmacology Journal, Vol.14(2),2021, pp. 853-867.
Ritwik Srivastava, Sangeeta Kamboj, Neelam Turk,"Performance of DFT and Discrete Hilbert Transform based Approach in PMU for Three Phase Power Transmission Network", International journal of Mechanical Engineering, Vol 6,No.3,Dec.2021,pp3751-3757.
Apoorv Sharma, AyushDhanda, Ankur Jangra, Anmol Tiwari, Sangeeta Kamboj, Amrita Sinha,"Designing and Implementation of Arduino based Laboratory PMU", International Journal on Emerging Technologies 11(5): 17-26(2020).
Raghav Dhawan, Sangeeta Kamboj, Mandeep Singh,"Development and Implementation of GPS - GSM Technologies based Vehicle Security System", International Journal of Advanced Science and Technology, Vol. 29, No. 3, (2020), pp. 11584 - 11590.
Kamboj, R.Dahiya, “Application of GPS for Sag Measurement of Overhead Power Transmission Line”, International Journal of Electrical Engineering and Informatics, Vol.3, No.3, pp 268-277, October2011.
Kamboj, R.Dahiya, “Development of system for GPS Data Transmission to Web Server for online overhead conductor Sag measurement”, SpringerLink International Conference on Wireless and Mobile Networks, pp437-444, 2-4 Jan. 2012, Banglore, India, Lecture Notes of the Institute for Computer Science, Social Informatics and Telecommunications Engineering
Gursagar Singh, Sangeeta Kamboj, "Modelling of Smart Car Parking System using PLC",International Journal of Mechanical Engineering and Technology (IJMET),Volume 9, Issue 7, July 2018, pp. 909–915.
Tarun Gupta,Sangeeta Kamboj, "Development of Automatic Packaging System using PLCand SCADA for Industries",International Journal of Mechanical Engineering and Technology (IJMET),Volume 9, Issue 7, 1277–1287, July 2018.
Kamboj S., Dahiya R., "Designing and Implementation of Overhead Conductor Altitude Measurement System Using GPS for Sag Monitoring", In: Kalam A., Niazi K., Soni A., Siddiqui S., Mundra A. (eds) Intelligent Computing Techniques for Smart Energy Systems. Lecture Notes in Electrical Engineering, vol 607, pp 183-194, Springer, Singapore. https://doi.org/10.1007/978-981-15-0214-9_22.
Kumar, S.Kamboj," Modelling of Automatic Material Handling System using PLC", International Journal of Advanced Trends in Computer Science and Engineering, Volume 8, No.3, pp927-930, June 2019.
Ashima, S.Kamboj," Design and Implementation of Low Power and Sleep Mode Data Logger for Automatic Weather Stations", International Journal of Innovative Technology and Exploring Engineering (IJITEE), Volume 8, No.9, pp 2019-2102, July 2019.
Kamboj, R.Dahiya," Monitoring Dynamic Thermal Line rating of overhead conductor using real time sag measurement by GPS", International Journal of Advanced Trends in Computer Science and Engineering, Volume 8, No.4, August 2019.
Gazal, S.Kamboj, "Designing and Implementation of Free RTOS Multichannel Data Logger using Microcontroller",International Journal of Innovative Technology and Exploring Engineering (IJITEE), Volume 8, No.9, pp 2832-2836, August 2019.
Simran,S.Kamboj, Aditi Diwan, " Development of Automatic Sorting Conveyor Belt using PLC", International Journal of Mechanical Engineering and Technology (IJMET),Volume 10, Issue 8, pp 109-118, August 2019.

Dr. Suman Bhullar

A. Jain, S. Bhullar, and M. Kaur, “Single-Switched Inductor-Based Active Cell Balancing With PI-Controlled Energy Equalization for Multicell Lithium-Ion Batteries,” International Transactions on Electrical Energy Systems, vol. 2026, no. 1, Art. no. 1285004, 2026.
A. Jain and S. Bhullar, “Design and performance analysis of solar PV-battery energy storage system integration with three-phase grid,” Journal of Power Sources, vol. 640, Art. no. 236486, 2025.
A. Jain and S. Bhullar, “Grid-tied solar integrated electric vehicle charging system with advanced LMS control,” Journal of Electrical Engineering & Technology, vol. 20, no. 2, pp. 921–934, 2025.
A. Jain and S. Bhullar, “An extensive analysis of power converter architectures for grid-connected solar photovoltaic driven electric vehicles (EVs),” Engineering Science and Technology, an International Journal, vol. 58, Art. no. 101841, 2024.
A. Jain and S. Bhullar, “Operating modes of grid integrated PV-solar based electric vehicle charging system—a comprehensive review,” e-Prime—Advances in Electrical Engineering, Electronics and Energy, vol. 8, Art. no. 100519, 2024.
K. P. Jain, S. Panda, and S. Bhullar, “Operation of Unified Power Quality Conditioner with Photovoltaic Arrays,” in Proc. IEEE IAS Global Conf. Renewable Energy and Hydrogen Technologies, pp. 1–6, Mar. 11, 2023.
S. Hans, S. Ghosh, S. Bhullar, A. Kataria, V. Karar, and D. Agrawal, “Hybrid Energy Storage to Control and Optimize Electric Propulsion Systems,” Computers, Materials & Continua, vol. 71, no. 3, Jun. 2022.
A. Jain and S. Bhullar, “Network Performance Evaluation of Smart Distribution Systems using Smart Meters with TCP/IP Communication Protocol,” Energy Reports, vol. 8, pp. 19–43, Nov. 2022.
A. Jain and S. Bhullar, “Online Management and Assessment of Power Quality Issues through Smart Metering in Smart Grid Architecture,” Energy Reports, vol. 8, pp. 613–631, Nov. 2022.
A. Jain, A. Bhardwaj, S. Kumar, and S. Bhullar, “Implementation Techniques for Frequency Phasor Estimation in Phasor Estimation Units (PMUs),” in Proc. 3rd Int. Conf. Internet of Things: Smart Innovation and Usages, Birla Institute of Applied Sciences, Bhimtal, Nainital, Uttarakhand, India, pp. 1–6, Feb. 23, 2018.
S. Bhullar and S. Ghosh, “Optimal Integration of Multi Distributed Generation Sources in Radial Distribution Networks Using a Hybrid Algorithm,” Energies, vol. 11, no. 3, Art. no. 628, Mar. 2018.
A. Jain and S. Bhullar, “Micro-phasor measurement units (μPMUs) and its applications in smart distribution systems,” in ISGW 2017: Compendium of Technical Papers, Springer, Singapore, pp. 81–92, 2018.
S. Ghosh, M. Kaur, S. Bhullar, and V. Karar, “Hybrid Bat for Solving Short-term Hydrothermal Scheduling Problems,” Energies, vol. 12, no. 3, Art. no. 651, Jan. 2019.
A. Jain, L. K. Yadav, A. Omer, and S. Bhullar, “Analysis of effectiveness of SSSC in transmission network using PI controlled technique,” in Proc. 1st Int. Conf. Power Engineering, Computing and Control (PECCON-2017), Chennai, India, Mar. 2–4, 2017, Energy Procedia.
S. Bhullar and S. Ghosh, “A novel search technique to solve load flow of radial distribution networks,” accepted in Journal of Engineering Research, Jan. 2017, Manuscript ID 1646EE.
A. Jain, B. P. Singh, S. Bhullar, and M. K. Verma, “Performance of Hybrid Wind Micro-turbine Generation System in Isolated Mode,” in Proc. IEEE Int. Conf. Emerging Trends in Electrical Electronics and Sustainable Energy Systems (ICETEESES-2016), KNIT, Sultanpur, India, Mar. 2016.
A. Jain and S. Bhullar, “PI and Fuzzy Controller Based DVR to Mitigate Power Quality and Reduce the Harmonic Distortion of Sensitive Load,” in Proc. Advanced Computing and Communication Technologies (ICACCT-2013), APIIT, Panipat, India, 2013.

Dr. Vikram Chopra

D. Mishra, V. Chopra, D. Mishra, and A. Baral, “A non-invasive measurement-based modeling for assessing power transformer aging and reliability,” Measurement, vol. 272, Art. no. 120968, 2026, doi: 10.1016/j.measurement.2026.120968.
V. Raizada, N. J. Singh, V. Chopra, J. Kaur, and R. Lamba, “Fractional order PID controller design using predator effect inspired artificial bee colony algorithm,” Journal of Engineering Research, vol. 14, no. 2, pp. 1808–1819, 2026, doi: 10.1016/j.jer.2026.02.020.
S. Pandey, S. K. Aggarwal, P. Jood, and V. Chopra, “Hybrid fractional order PIλDμ-PD control scheme for power system with modelling non-linearities and renewable resources,” Journal of Engineering Research, 2025.
H. Saini, G. Singh, A. Kaur, S. Saini, N. A. Wani, V. Chopra, R. R. Marie, et al., “Elevating cloud security with advanced trust evaluation and optimization of hybrid Fireberg technique,” IET Software, 2025, Art. no. 3296533.
H. Saini, G. Singh, A. Kaur, S. Saini, N. A. Wani, V. Chopra, Z. Akhtar, and S. A. Bhat, “Hybrid optimization machine learning framework for enhancing trust and security in cloud network,” IEEE Access, vol. 12, pp. 195943–195959, 2024.
N. J. Singh, V. Chopra, and S. Pandey, “Artificial bee colony with predator effect algorithm for proportional integral derivative controller tuning,” Journal of Vibration and Control, vol. 30, nos. 23–24, pp. 5287–5297, 2024.
N. Rasool, J. I. Bhat, N. B. Aoun, A. Alharthi, N. A. Wani, V. Chopra, M. S. Anwar, et al., “Resmha-net: Enhancing glioma segmentation and survival prediction using a novel deep learning framework,” Computers, Materials & Continua, vol. 81, no. 1, pp. 885–909, 2024.
P. Jood, S. K. Aggarwal, and V. Chopra, “Adaptive neuro-fuzzy based load frequency control in presence of energy storage devices,” Intelligent Automation & Soft Computing, vol. 34, no. 2, 2022.
V. Chopra, N. J. Singh, R. Kumar, and V. Sharma, “Position control of PMBLDC motor using SVR- and ANFIS-based controllers,” National Academy Science Letters, vol. 45, no. 1, pp. 57–60, 2022.
P. Jood, S. K. Aggarwal, and V. Chopra, “Discrete control of two-area power system consisting reheat thermal and renewable sources,” IFAC-PapersOnLine, vol. 55, no. 1, pp. 265–270, 2022.
Chawla, V. Chopra, and A. Singla, “Robust stabilization control of a spatial inverted pendulum using integral sliding mode controller,” International Journal of Nonlinear Sciences and Numerical Simulation, vol. 22, no. 2, pp. 183–195, 2021.
J. Singh, S. Singh, V. Chopra, M. A. Aftab, S. S. Hussain, and T. S. Ustun, “Chaotic evolutionary programming for an engineering optimization problem,” Applied Sciences, vol. 11, no. 6, Art. no. 2717, 2021.
S. Goel, R. Kumar, M. Kumar, and V. Chopra, “An efficient page ranking approach based on vector norms using sNorm(p) algorithm,” Information Processing & Management, vol. 56, no. 3, pp. 1053–1066, 2019, doi: 10.1016/j.ipm.2019.02.004
P. Jood, S. K. Aggarwal, and V. Chopra, “Performance assessment of a neuro-fuzzy load frequency controller in the presence of system non-linearities and renewable penetration,” Computers & Electrical Engineering, vol. 74, pp. 362–378, Mar. 2019, doi: 10.1016/j.compeleceng.2019.02.009.
V. Chopra, S. K. Singla, and L. Dewan, “Stabilization of an X-Y inverted pendulum using adaptive gain scheduling PID controllers,” Journal of Engineering Research, vol. 3, no. 2, pp. 59–78, 2015.
R. Kumar, S. K. Singla, and V. Chopra, “Comparison among some well-known control schemes with different tuning methods,” Journal of Applied Research & Technology, vol. 13, no. 2, pp. 409–415, 2013.
V. Chopra, S. K. Singla, and L. Dewan, “Comparative analysis of tuning a PID controller using intelligent methods,” Acta Polytechnica Hungarica, vol. 11, no. 8, pp. 235–249, 2014.

Dr. Yogesh Narayanrao Tatte

Yogesh Tatte, Mohan Aware, Twenty sectors direct torque control of five-phase induction motor with common-mode voltage and torque ripple reduction, Electric Power Systems Research, Volume 254, 2026, 112590, ISSN 0378-7796, IF 4.2
Tatte, Y., Aware, M. Twelve sectors direct torque control for three-level inverter fed induction motor drive. Electr Eng 107, 6107–6121 (2025). IF 1.9
Rani, J., Tatte, Y. Space vectors techniques in three-level five-phase inverters for CMV elimination. Electr Eng 107, 4367–4380 (2025). IF 1.9
Tatte, Y. Torque ripple reduction with modified torque comparator in direct torque-controlled induction motor. Electr. Eng. 106, 4045–4058 (2024). IF 1.9
Tatte, Y., Paramane, A. Direct torque control of three-level five-phase inverter-fed five-phase induction motor with common-mode voltage elimination. Electr Eng 105, 243–257 (2023). IF 1.9
M. Pattnaik, M. Badoni, Y. Tatte, PKLMP based control technique for improving performance of multifunctional grid integrated PV system, Electr. Power Syst. Res. 217 (109096) (2023). IF 4.2
Manasi Pattnaik, Manoj Badoni, Yogesh Tatte, Application of Gaussian-sequential-probabilistic-inference concept based Kalman filter for accurate estimation of state of charge of battery, Journal of Energy Storage 54 (105244) (2022). IF 9.8
Tatte, Y., Aware, M. & Badoni, M. Modified Direct Torque Control Technique of Induction Motor for Torque Ripple and Common-Mode Voltage Reduction with Neutral-Point Voltage Balancing. Iran J Sci Technol Trans Electr Eng 46, 1207–1221 (2022). IF 2.4
Tatte, Y., Aware, M. & Khadse, C. Torque ripple reduction in three-level five-phase inverter-fed five-phase induction motor. Electr Eng 104, 3793–3805 (2022). IF 1.9
Manoj Badoni, Alka Singh, Sunil Semwal, Yogesh Tatte; Control of DSTATCOM using nonparametric variable step-size NLMS: An experimental study, Electric Power Systems Research, Vol. 199, 107411, ISSN 0378-7796, 2021. IF 4.2
A. K. Singh, M. Badoni and Y. N. Tatte, "A Multifunctional Solar PV and Grid Based On-Board Converter for Electric Vehicles," in IEEE Transactions on Vehicular Technology, vol. 69, no. 4, pp. 3717-3727, April 2020. 10.1109/TVT.2020.2971971. IF 6.8
J. K. Pandit, M. V. Aware, R. Nemade and Y. Tatte, "Simplified Implementation of Synthetic Vectors for DTC of Asymmetric Six-Phase Induction Motor Drives," in IEEE Transactions on Industry Applications, vol. 54, no. 3, pp. 2306-2318, May-June 2018. IF 4.4
Yogesh Tatte; Torque ripple minimization with modified comparator in DTC based three-level five-phase inverter fed five-phase induction motor, IET Power Electronics, vol. 14, no. 9, pp. 1713-1723, 2021. IF 1.9
Yogesh Tatte; Mohan Aware; Ankit Kumar Singh, “Performance improvement of direct torque controlled five-phase induction motor in context of common-mode voltage, torque ripple and demagnetisation under low speed region”, IET Power Electronics, vol 13, no. 4, pp. 649-657, 2020. IF 1.9
Y. N. Tatte and M. V. Aware, “Torque Ripple Reduction in Direct Torque Controlled Five-Phase Induction Motor Using Modified Five-Level Torque Comparator”, Indian Academy of Sciences, Springer Sadhana Vol. 43, no. 1, January 2018. IF 1.6
Y. N. Tatte and M. V. Aware, “Selection of Voltage Vectors in Three-Level Five-Phase Direct Torque Control for Performance Improvement” Journal of Power Electronics, vol. 16, no. 6, pp. 2162-2172, November 2016. IF 1.3
Y. N. Tatte and M. V. Aware, "Direct Torque Control of Induction Motor with Common-Mode Voltage Elimination," Electric Power Components and Systems, vol. 44, no. 20, pp. 2310-2324, November 2016. IF 1.5
Y. N. Tatte, M. V. Aware, J. K. Pandit and R. Nemade, "Performance Improvement of Three-Level Five-Phase Inverter-Fed DTC-Controlled Five-Phase Induction Motor During Low-Speed Operation," in IEEE Transactions on Industry Applications, vol. 54, no. 3, pp. 2349-2357, May-June 2018. IF 4.4
Y. Tatte; M. Aware, "Direct Torque Control of Five-Phase Induction Motor with Common-Mode Voltage and Current Harmonics Reduction," IEEE Transactions on Power Electronics, vol. 32, no. 11, pp. 8644-8654, November, 2017. 10.1109/TPEL.2016.2644988. IF 6.6
Y. Tatte; M. Aware, “Torque Ripple and Harmonic Current Reduction in Three-Level Inverter Fed Direct Torque Controlled Five-Phase Induction Motor”, IEEE Transactions on Industrial Electronics, vol. 64, no. 7, pp. 5265-5275, July 2017 10.1109/TIE.2017.2677346. IF 7.2

Dr. Sridhar Joshi

Joshi, S. Tolani, and P. Sensarma, "Hybrid controller for mid-range mid-power audio application," ISA Transactions, vol. 137, pp. 717-729, June 2023.
Joshi, R. Tripathi, M. Badoni, R. Kumar, and P. Khetrapal, "Design and Development of Non-Linearly Controlled Class-D Audio Amplifier," Electronics, vol. 11, 77, 2022.
S.Joshi and P.Sensarma, “Hybrid controller for mid power audio application,” IET Power electronics, April 2017, pp. 1-8.
S. Tolani, S. Joshi and P. Sensarma, "Dual-Loop Digital Control of a Three-Phase Power Supply Unit With Reduced Sensor Count," in IEEE Transactions on Industry Applications, vol. 54, no. 1, pp. 367-375, Jan.-Feb. 2018.

Dr. Sandeep Pandey

S. Ashraf, S. Sonar, and S. Pandey, “Topology and space vector modulation technique for reduced switch count modified quasi-Z-source PV-tied 3L-inverter,” Arabian Journal for Science and Engineering, Apr. 13, 2026, pp. 1–9.
S. Ashraf, S. Sonar, and S. Pandey, “Space vector control for optimized device commutations in controlled diode bridge clamped-based impedance source inverter,” Electrical Engineering, vol. 107, no. 8, pp. 10163–10178, 2025.
S. K. Aggarwal, P. Jood, V. Chopra, and S. Pandey, “Hybrid fractional order PIλDμ-PD control scheme for power system with modelling non-linearities and renewable resources,” Journal of Engineering Research, Dec. 4, 2025.
M. Badoni, S. Pandey, P. Chittora, A. Singh, and S. K. Singla, “Fractional-order multiple notch filter-cross feedback network for multi-operational grid-connected solar photovoltaic system,” Electric Power Systems Research, vol. 239, p. 111241, Feb. 2025.
J. Singh, V. Chopra, and S. Pandey, “Artificial bee colony with predator effect algorithm for proportional integral derivative controller tuning,” Journal of Vibration and Control, p. 10775463231220422, 2024.
A. Badoni, A. Singh, S. Pandey, and B. Singh, “Fractional-order notch filter for grid-connected solar PV system with power quality improvement,” IEEE Transactions on Industrial Electronics, vol. 69, pp. 429–439, 2021.
P. Dwivedi and S. Pandey, “Tuning rules: Graphical analysis and experimental validation of a simplified fractional-order controller for a class of open-loop unstable systems,” Asian Journal of Control, vol. 23, no. 5, pp. 2293–2310, 2021.
S. Pandey, P. Dwivedi, V. Dourla, and A. Junghare, “Introduction and realization of four fractional-order sliding mode controllers for nonlinear open-loop unstable system: A magnetic levitation study case,” Nonlinear Dynamics, 2019.
S. Pandey, P. Dwivedi, and A. Junghare, “A novel 2-DOF fractional-order PIλ-Dμ controller with inherent anti-windup capability for a magnetic levitation system,” AEU—International Journal of Electronics and Communications, 2017.
S. Pandey, P. Dwivedi, and A. Junghare, “Anti-windup fractional-order PIλ-PDμ controller design for unstable process: A magnetic levitation study case under actuator saturation,” Arabian Journal for Science and Engineering, 2017.
P. Dwivedi, S. Pandey, and A. Junghare, “Stabilization of unstable equilibrium point of rotary inverted pendulum using fractional controller,” Journal of the Franklin Institute, 2017.
P. Dwivedi, S. Pandey, and A. Junghare, “Performance analysis and experimental validation of 2-DOF fractional-order controller for under-actuated rotary inverted pendulum,” Arabian Journal for Science and Engineering, 2017.
S. Pandey, P. Dwivedi, and A. Junghare, “A newborn hybrid anti-windup scheme for fractional-order proportional integral controller,” Arabian Journal for Science and Engineering, 2017.
P. Dwivedi, S. Pandey, and A. Junghare, “Robust and novel two degree of freedom fractional controller based on two-loop topology for inverted pendulum,” ISA Transactions, 2017.

Dr. Deba Dash

D. P. Dash, M. Kolekar, C. Chakraborty, and M. R. Khosravi, “Review of machine and deep learning techniques in epileptic seizure detection using physiological signals and sentiment analysis,” ACM Transactions on Asian and Low-Resource Language Information Processing, vol. 23, no. 1, pp. 1–29, Jan. 2024
D. Rane, D. P. Dash, A. Dutt, A. Dutta, A. Das, and U. Lahiri, “Distinctive visual tasks for characterizing mild cognitive impairment and dementia using oculomotor behavior,” Frontiers in Aging Neuroscience, vol. 15, pp. 1–14, Jul. 2023.
D. P. Dash, M. H. Kolekar, and K. Jha, “Surface EEG based epileptic seizure detection using wavelet based features and dynamic mode decomposition power along with KNN classifier,” Multimedia Tools and Applications, vol. 81, pp. 42057–42077, Sep. 2021.
D. P. Dash, M. H. Kolekar, and K. Jha, “Multi-channel EEG based automatic epileptic seizure detection using iterative filtering decomposition and hidden Markov model,” Computers in Biology and Medicine, vol. 116, p. 103571, 2020.
D. P. Dash and M. H. Kolekar, “Hidden Markov model based epileptic seizure detection using tunable Q wavelet transform,” The Journal of Biomedical Research, vol. 34, no. 3, pp. 168–177, 2020.
D. P. Dash and H. M. Kolekar, “EEG based epileptic seizure detection using empirical mode decomposition and hidden Markov model,” Indian Journal of Public Health Research & Development, vol. 8, no. 4, pp. 897–903, 2017.

Dr. Ruchika Lamba

V. Raizada, N. J. Singh, V. Chopra, J. Kaur, and R. Lamba, “Fractional order PID controller design using predator effect inspired artificial bee colony algorithm,” Journal of Engineering Research, 2026.
T. Singh, T. Dora, R. Lamba, A. K. Bhullar, and S. Sondhi, “FOPID controller design for a perturbed PHWR system using enhanced crow search algorithm,” Progress in Nuclear Energy, vol. 151, Art. no. 104342, 2022.
R. Lamba, S. K. Singla, and S. Sondhi, “Reduced order model based FOPID controller design for power control in pressurized heavy water reactor with specific gain–phase margin,” Progress in Nuclear Energy, vol. 125, pp. 1–19, 2020.
R. Lamba, S. K. Singla, and S. Sondhi, “Fractional order PID controller for power control in perturbed pressurized heavy water reactor,” Nuclear Engineering and Design, vol. 323, pp. 84–94, 2017.
R. Lamba, S. K. Singla, and S. Sondhi, “Design of fractional order PID controller for load frequency control in perturbed two areas interconnected system,” Electric Power Components and Systems, vol. 47, nos. 11–12, pp. 998–1011, 2019.

Dr. Amit Kumar

Rajendra Kumar Khadanga., Sidhartha Panda., Deepa Das., Preeti Ranjan Sahu, Satyajit Mohanty, and Amit Kumar, “A novel adaptive type-2 fuzzy PID control strategy for frequency regulation of renewable penetrated hybrid three-area power system. International Journal of Ambient Energy, Vol.47, No.1, 2026. https://doi.org/10.1080/01430750.2025.2609595[ Scopus , ESCI]
Rajendra Kumar Khadanga, Deepa Das, Amit Kumar and Sidhartha Panda, “Sine augmented scaled arithmetic optimization algorithm for frequency regulation of a virtual inertia control based microgrid”, ISA Transaction Elsevier, Vol. 38, pp. 534-545, 2023. [SCI, IF: 6.5].
Amit Kumar, Rajendra Kumar Khadanga, and Sidhartha Panda, “Reinforced modified equilibrium optimization technique-based MS-PID frequency regulator for a hybrid power system with renewable energy sources,” Soft Computing, Springer, Vol. 26, No. 11, pp. 5437–5455, June 2022. https://doi.org/10.1007/s00500-021-06558-8. [SCI, IF:3.732]
Rajendra Kumar Khadanga, Amit Kumar and Sidhartha Panda, “A Novel Modified Grey Wolf Optimization Integrated with Cuckoo Search Algorithm for Load Frequency Controller Design of a Multi-Area Multi-Source Power System”, Applied Soft Computing-Elsevier, Vol. 124, July 2022 [SCI, IF:8.263]
Rajendra Kumar Khadanga, Deepa Das, Amit Kumar and Sidhartha Panda, “A Novel Improved Parasitism Predation Algorithm Based Virtual Inertia Control Approach for the Frequency Regulation of an AC Microgrid Utilizing an Interval Type-2 Fuzzy Logic PID Controller”, Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, Vol. 44, No. 1, pp. 1660-1677, 31^st March 2022. [SCI, IF: 3.447].
Ankireddy Narendra, Naik N. Venkataramana, Anup Kumar Panda, Nishit Tiwary and Amit Kumar*, “A Single-Stage SPV-Fed Reduced Switching Inverter-Based Sensorless Speed Control of IM for Water Pumping Applications, International Transactions on Electrical Energy Systems, Wiley- Hindawi, Vol. 2022, Article ID 3805791, https://doi.org/10.1155/2022/3805791. [SCI, IF:2.639]
Rajendra Kumar Khadanga, Amit Kumar and Sidhartha Panda, “Frequency control in hybrid distributed power systems via type‐2 fuzzy PID controller,” IET Renewable Power Generation, Vol. 15, No. 8, pp. 1706-1723, 8th June 2021., https://doi.org/10.1049/rpg2.12140 . [SCI, IF:3.930]
Rajendra Kumar Khadanga, Amit Kumar and Sidhartha Panda, “A novel sine augmented scaled sine cosine algorithm for frequency control issues of a hybrid distributed two-area power system,” Neural Computing and Applications, Springer Vol. 33, No. 19, pp. 12791-12804, October 2021, https://doi.org/10.1007/s00521-021-05923-w. [SCI, IF:5.606]
Rajendra Kumar Khadanga, Amit Kumar and Sidhartha Panda, “Application of Interval Type-2 Fuzzy PID Controller for Frequency Regulation of AC Islanded Microgrid Using Modified Equilibrium Optimization Algorithm,” Arabian Journal for Science and Engineering, Springer, Vol. 46, No. 10, pp. 9831-9847, 2021. October 2021, https://doi.org/10.1007/s13369-021-05580-0. [SCI, IF:2.334]
Abinash Rath, Amit Kumar, Srungavarapu Gopalakrishna, Monalisa Pattnaik, “Power quality improvement using 18 sector algorithm based direct power control,” International Transactions on Electrical Energy Systems, Wiley, 07 January 2021, https://doi.org/10.1002/2050-7038.12784. [SCI, IF:2.860]
Rajendra Kumar Khadanga, Amit Kumar and Sidhartha Panda, “A Novel Hybrid Shuffled Frog- Leaping & Pattern Search Algorithm for Load Frequency Controller Design of a Two-Area Power System Composing of PV and Thermal Generator,” in International Journal of Numerical Modelling Electronic Networks, Devices and Fields, Wiley, Vol. 33, no. 1, January/February 2020. [SCI, IF:1.296]
Amit Kumar and Gopalakrishna Srungavarapu, “An Algorithm based Direct Power Control of Active Front End Rectifiers,” IET Power Electronics, Vol. 12, no. 4, pp. 712-718, 2019., DOI: 10.1049/iet- pel.2018.5256). [SCI, IF:2.641]
Amit Kumar and Gopalakrishna Srungavarapu, “TLBO Optimized FOPI Controller for Three-Phase Active Rectifier Using ZDPC Technique, “Arabian Journal of Science and Engineering, Springer, Vol. no. 44, pp-6951-6965, February 2019, DOI: 10.1007/s13369-019-03728-7). [SCI, IF:2.334]
Rajendra Kumar Khadanga and Amit Kumar, “Analysis of PID controller for Load Frequency Control of Static Synchronous Series Compensator & Capacitive Energy Storage Source based HVDC- AC Multi-Area Multi-Source Interconnected Power System,” International Journal of Bio-inspired Computation, Inderscience, Vol. 13, no.-2, pp-131-139, 2019. [SCI, IF:3.977].
Rajendra Kumar Khadanga, Amit Kumar and Sidhartha Panda, “A novel modified whale optimization algorithm for load frequency controller design of a two-area power system composing of PV grid and thermal generator,” in Neural Computing and Applications, Springer, June 2019 DOI: 10.1007/s00521-019-04321-7. [SCI, IF:5.606]
Hakan Acikgoz, Amit Kumar, Hamzeh Beiranvand and Mustafa Sekkeli, “Hardware implementation of type-2 neuro-fuzzy controller based direct power control for three-phase active front-end rectifiers,” in International Transactions on Electrical Energy Systems, Wiley, Vol. no. 29, Issue 10, pp-1-14, October 2019, https://doi.org/10.1002/2050-7038.12066. [SCI, IF:2.860]
Amit Kumar and Gopalakrishna Srungavarapu, “A Power Quality Enhanced Grid Voltage Sensorless Predictive DPC for Active Front End Rectifiers,” Transactions of the Institute of Measurement and Control, Sage Publication, Vol. no. 40, Issue 13, pp-3809-3823, September 2018, (DOI: 10.1177/0142331217732617). [SCI, IF:1.796]
Rajendra Kumar Khadanga, Sasmita Padhy, Sidhartha Panda and Amit Kumar, “Design and Analysis of Tilt Integral Derivative Controller for Frequency Control in an Islanded Microgrid: - A Novel Hybrid Dragonfly and Pattern Search Algorithm Approach,” Arabian Journal of Science and Engineering, Springer, Vol. no. 43, pp-3103-3114, June 2018, (https://doi.org/10.1007/s13369-018-3151-0.[SCI, IF:2.334]
Rajendra Kumar Khadanga, Sasmita Padhy, Sidhartha Panda and Amit Kumar, “Design and Analysis of Multi-Stage PID Controller for Frequency Control in an Islanded Micro-grid using a Novel Hybrid Whale Optimization-Pattern Search Algorithm,” International Journal of Numerical Modelling Electronic Networks, Devices and Fields, Wiley, Vol. no. 31, Issue 5, pp-1-15, September/October 2018. [SCI, IF:1.296]
Rajendra Kumar Khadanga and Amit Kumar, “Hybrid Adaptive gbest Guided Gravitational Search and Pattern Search Algorithm for Automatic Generation Control of Multi Area Power System,” in IET Generation Transmission and Distribution, Vol. 11, no. 13, pp. 3257-3267, 2017. DOI: 10.1049/iet- gtd.2016.1542. [SCI, IF:2.995]

Dr. Ravinder Kaur

Parajuli K, Garg B, Kaur R. EEG-based emotion recognition in brain–computer interfaces: methods, challenges, and future directions. Expert Systems with Applications. 2026 Mar 28:132245.(SCI, Impact factor:9.4)
Mittal P, Kaur R, Dalal M. State-of-the-art image and video-based steganalysis techniques: A comprehensive review, challenges and future recommendations for digital forensic experts. Computer Science Review. 2026 Feb 1;59:100852. (SCI, Impact factor:17)
Kaur R, Khattar S, Singla S. Classification of Renal Lesions by Leveraging Hybrid Features from CT Images Using Machine Learning Techniques. Journal of Imaging Informatics in Medicine. 2026 Apr;39(2):1692-714. (SCI, Impact factor:3.1)
Khattar S, Kaur R, Sharma K. A Hybrid Technique for Enhanced Epileptic Seizure Detection using EEG Signals. National Academy Science Letters. 2026 Apr 6:1-6. (SCI, Impact factor: 1.1)
Khattar S, Kaur R, Kumar A. DeepHybrid-CNN: A Hybrid Approach for Pre-processing of Skin Cancer Images. Computerized Medical Imaging and Graphics. 2025 Aug 6:102611.(SCI, Impact factor: 4.9)
Kaur R, Khattar S, Singla S. Classification of Renal Lesions by Leveraging Hybrid Features from CT Images Using Machine Learning Techniques. Journal of Imaging Informatics in Medicine. 2025 Jul 14:1-23. .(SCI, Impact factor: 4.2)
Juneja M, Minhas JS, Singla N, Kaur R, Jindal P. Denoising techniques for cephalometric x-ray images: A comprehensive review. Multimedia Tools and Applications. 2024 May;83(17):49953-91.
Kaur R, Juneja M. A hybrid approach for enhancement of abdominal CT images. Computers and Electrical Engineering. 2022 Sep 1;102:108291. (SCI, Impact factor: 4.1)
Khattar S, Kaur R. Computer assisted diagnosis of skin cancer: A survey and future recommendations. Computers and Electrical Engineering. 2022 Dec 1;104:108431. (SCI, Impact factor: 4.1)
Ravinder Kaur, Mamta Juneja, AK Mandal. Machine learning based quantitative texture analysis of CT images for diagnosis of renal lesions, Biomedical Signal Processing and Control. 2021 Feb 1;64:102311. (SCI, Impact factor: 5.1)
Mamta Juneja,Poojita Garg, Ravinder Kaur et al. “ A review on cephalometric landmark detection techniques” Biomedical Signal Processing and Control, Elsevier, 2021.( (SCI, Impact factor: 5.1))
Mamta Juneja, Ridhima Singla, Sumindar Kaur Saini, Ravinder Kaur, Divya Bajaj, Prashant Jindal, OCLU-NET for occlusal classification of 3D dental models, Machine Vision and Applications, pp:1-12,2020. (SCI, Impact factor: 2.9)
Saini SK, Bansal V, Kaur R, Juneja M. ColpoNet for automated cervical cancer screening using colposcopy images. Machine Vision and Applications. 2020 Mar;31(3):1-5. (SCI, Impact factor: 2.9)
Ravinder Kaur, Mamta Juneja, AK Mandal. An overview of non-invasive imaging modalities for diagnosis of solid and cystic renal lesions. Medical & biological engineering & computing. 2019 Nov 21:1-24. (SCI, Impact factor: 3.1)
Ravinder Kaur, Mamta Juneja, and A. K. Mandal, "A comprehensive review of denoising techniques for abdominal CT images", Multimedia Tools and Applications, pp: 1-36, 2018, ISSN: 1380-7501 (Print) ISSN: 1573-7721 (Electronic). (SCI, Impact factor: 2.5)
Ravinder Kaur, Mamta Juneja, “A Survey on Kidney segmentation techniques in CT images”, Current Medical Imaging Reviews, Volume 14, Issue 2, pp: 238-250, 2018, ISSN: 1875-6603 (Online); ISSN: 1573-4056 (Print). (SCI, Impact factor: 1.5)
Ravinder Kaur, Mamta Juneja, AK Mandal, “A hybrid edge-based technique for segmentation of renal lesions in CT images”, Multimedia Tools and Applications. pp: 1-21, 2018. (SCI, Impact factor: 2.5)
Ravinder Kaur, Mamta Juneja, AK Mandal, “Computer-aided diagnosis of renal lesions in CT images: A comprehensive survey and future prospects”, Computers & Electrical Engineering. 2018 Aug 22. (SCI, Impact factor: 4.1)

Dr. Anterpreet Kaur

A. Kaur, S. Mittal, M. S. Alam, N. Narang, and K. Kaur, “Chaos inspired grey wolf optimizer for short term hydrothermal scheduling,” in Proc. Integrated Technologies in Electrical, Electronics and Bio-technology Engineering, pp. 597–601, 2026.
S. Mittal, A. Kaur, M. S. Alam, and M. Badoni, “Implementation of TOSSI algorithm to control BADC in off-board EV charger,” in Proc. Integrated Technologies in Electrical, Electronics and Bio-technology Engineering, pp. 535–539, 2026.
K. Kaur, S. Jindal, P. Patial, A. Sharma, G. M. Ahlawat, and A. Kaur, “Ni-doped CdS nanoparticles: Morphological, structural and magnetic characteristics,” in Proc. Integrated Technologies in Electrical, Electronics and Bio-technology Engineering, pp. 377–378, 2026.
A. Kaur and N. Narang, “Multi-objective generation scheduling of integrated energy system using hybrid optimization technique,” Neural Computing and Applications, vol. 36, pp. 1215–1236, 2024.
A. Kaur and N. Narang, “Economic emission generation scheduling of interconnected energy system using hybrid optimization technique,” Iranian Journal of Science and Technology, Transactions of Electrical Engineering, vol. 47, pp. 103–124, 2023.
A. Kaur and N. Narang, “Optimum generation scheduling of coordinated power system using hybrid optimization technique,” Electrical Engineering, vol. 101, pp. 379–408, 2019.

Dr. Rajesh Pindoriya

H. Thakur, R. M. Pindoriya, and S. Prakash, “Integrated Modeling and Machine Learning-based Fault Diagnosis of BLDC Motor Drive for EV Applications”, IETE Journal of Research, pp. 1-17, June 2026, DOI: 10.1080/03772063.2026.2683552.
Sabin Kasula and Rajesh M. Pindoriya, “Modeling and Optimization of Separately Excited DC Motor Using Genetic Algorithm and Particle Swarm Optimization with Comparison of PID Performance Indices”, Inderscience International Journal of Power Electronics, vol. 23, no. 2, March 2027 (Accepted: 12^th January 2026).
K. V. Tejan, R. M. Pindoriya, B. S. Rajpurohit, and N. R. Tummru, “Sensorless Speed Control of PMSM Drive using Non-Linear Sliding Mode Observer with Position Estimation based on Quadrature-PLL”, Springer Journal of Electrical Engineering, vol. 107, pp. 7893–7907, January 2025, DOI: 10.1007/s00202-025-02948-5, (Impact Factor: 1.63).
R. M. Pindoriya, Kumar V. Tejan, and B. S. Rajpurohit, “Speed Control of Sensorless PMSM Drive using Adaptive Current Control Prediction Method”, Springer Journal of Electrical Engineering, vol. 105, pp. 1-13, Jan. 2023, DOI
10.1007/s00202-022-01725-y (Impact Factor: 1.63).
R. M. Pindoriya, K. V. Tejan, and B. S. Rajpurohit and R. Kumar, “Stator Feed-forward Voltage Estimation with MRAS Technique for Position Sensorless PMSM Drive”, Inderscience International Journal of Power Electronics, vol. 18, no.4, Oct. 2023.
R. M. Pindoriya, R. K. Thakur, B. S. Rajpurohit, and R. Kumar, “Numerical and Experimental Analysis of Torsional Vibration and Acoustic Noise of PMSM Coupled with DC Generator”, IEEE Transactions on Industrial Electronics, vol. 69, no. 4, pp. 3345-3356, April 2022, DOI: 10.1109/TIE.2021.3076715 (Impact Factor: 9.59).
R. M. Pindoriya, A. K. Yadav, B. S. Rajpurohit and R. Kumar, “A Novel Application of Random Hysteresis Current Control Technique for Acoustic Noise and Vibration Reduction of PMSM Drive”, IEEE Magazine on Industry Applications, vol. 28, issue 6, pp. 27-39, Nov. 2022, DOI:10.1109/MIAS.2022.3160986 (Impact Factor: 2.38).
R. M. Pindoriya, S. Chauhan, B. S. Rajpurohit and R. Arora, “A Critical Evaluation of Safety, Economic and Power Quality Considerations for Single-Phase Power Consumption and Distribution Systems at 120 and 230 V”, The Journal of IEEMA, vol. 13, issue no. 9, pp. 58-68, May 2022.
R. M. Pindoriya, A. K. Mishra, B. S. Rajpurohit, and R. Kumar, “An Experimental Investigation of Acoustic Noise and Vibration of PMSM due to Power Electronics Converters”, Electric Power Components & Systems, Taylor & Francis Journal, vol. 48 (19-20), pp. 2005–2018, 2020, DOI: 10.1080/15325008.2021.1921885 (Impact Factor: 1.38)
R. M. Pindoriya, G. Gautam and B. S. Rajpurohit, “A Novel Application of Pseudorandom-Based Technique for Acoustic Noise and Vibration Reduction of PMSM Drive,” IEEE Transactions on Industry Applications, vol. 56, issue. 5, pp. 5511-5522, Sept.-Oct. 2020, DOI: 10.1109/TIA.2020.2997904 (Impact Factor: 4.38).
R. M. Pindoriya, B. S. Rajpurohit, and R. Kumar, “A Novel Application of Harmonics Spread Spectrum Technique for Acoustic Noise and Vibration Reduction of PMSM Drive,” IEEE Access, vol. 8, pp. 103273-103284, 2020, DOI:10.1109/ACCESS.2020.2999336 (Impact Factor: 4.098).

Dr. Mukesh Dalal

K. Kakkar and M. Dalal, “Music-inspired adaptive technique for secure and imperceptible image steganography,” Proceedings of the National Academy of Sciences, India Section A: Physical Sciences, pp. 1–14, 2026.
M. Dalal, A. K. Bedi, and P. Mittal, “A systematic review of agentic AI for autonomous navigation: SLAM-based intelligent agents,” Computers, Materials & Continua, vol. 89, no. 1, 2026
P. Mittal, R. Kaur, and M. Dalal, “State-of-the-art image and video-based steganalysis techniques: A comprehensive review, challenges and future recommendations for digital forensic experts,” Computer Science Review, vol. 59, Art. no. 100852, 2026.
M. Dalal and P. Mittal, “A systematic review of deep learning-based models for elderly and human activity recognition,” Computer Science Review, vol. 60, Art. no. 100879, 2026.
M. Dalal and P. Mittal, “A systematic review of deep learning-based object detection in agriculture: Methods, challenges, and future directions,” Computers, Materials & Continua, vol. 84, no. 1, pp. 57–91, 2025.
M. Dalal and M. Juneja, “Steganalysis of DWT-Based Steganography Technique for SD and HD Videos,” Wireless Personal Communications, vol. 128, no. 4, pp. 2441–2452, 2023.
M. Dalal and M. Juneja, “Steganalysis of DWT Based Steganography Technique for SD and HD Videos,” Wireless Personal Communications, pp. 1–12, 2022.
M. Dalal and M. Juneja, “A survey on information hiding using video steganography,” Artificial Intelligence Review, vol. 54, no. 8, pp. 5831–5895, 2021.
M. Dalal and M. Juneja, “Steganography and steganalysis (in digital forensics): A cybersecurity guide,” Multimedia Tools and Applications, vol. 80, no. 4, pp. 5723–5771, 2021.
M. Dalal and M. Juneja, “A secure and robust video steganography scheme for covert communication in H.264/AVC,” Multimedia Tools and Applications, vol. 80, no. 9, pp. 14383–14407, 2021.
M. Dalal and M. Juneja, “A robust and imperceptible steganography technique for SD and HD videos,” Multimedia Tools and Applications, vol. 78, no. 5, pp. 5769–5789, 2019.
M. Dalal and M. Juneja, “A secure video steganography scheme using DWT based on object tracking,” Information Security Journal: A Global Perspective, vol. 31, no. 2, pp. 196–213, 2022.
M. Dalal and M. Juneja, “Evaluation of orthogonal and biorthogonal wavelets for video steganography,” Information Security Journal: A Global Perspective, vol. 29, no. 1, pp. 40–50, 2020.
M. Dalal and M. Juneja, “Video steganalysis to obstruct criminal activities for digital forensics: A survey,” International Journal of Electronic Security and Digital Forensics, vol. 10, no. 4, pp. 338–355, 2018.

Dr. Abhisek pal

M. Kumar and A. Pal, “Robust and adaptive speed control for BDFRGs: A novel MRAS-based sensorless approach for wind power applications,” Electrical Engineering, Springer Nature, 2025, doi: 10.1007/s00202-025-03118-3.
M. Manohar, A. Pal, and K. Kiran, “IoT controlled charger for electric vehicles,” Indian Patent Application No. 403948-001, filed Jan. 2024.
A. Pal and S. Das, “Search controller based online efficiency optimization strategy for induction motor drives using modified adaptive quadratic interpolation,” IET Power Electronics, vol. 13, no. 18, pp. 4282–4290, Dec. 2020.
A. Pal and S. Das, “Development of energy efficient scheme for speed sensorless induction motor drive,” International Transactions on Electrical Energy Systems, vol. 30, no. 8, pp. 1–14, Aug. 2020.
S. Das, R. Kumar, and A. Pal, “MRAS based speed estimation of induction motor drive utilizing machine’s d- and q-circuit impedances,” IEEE Transactions on Industrial Electronics, vol. 66, no. 6, pp. 4286–4295, Jun. 2019.
A. Pal, S. Das, and A. K. Chattopadhyay, “An improved rotor flux space vector based MRAS for field oriented control of induction motor drives,” IEEE Transactions on Power Electronics, vol. 33, no. 6, pp. 5131–5141, Jun. 2018.
A. Pal, R. Kumar, and S. Das, “Sensorless speed control of induction motor driven electric vehicle using model reference adaptive controller,” Energy Procedia, vol. 90, pp. 540–551, 2016.

Dr. Debasmita Mondal

Prity Soni, Pankaj Mishra, and Debasmita Mondal, “Cross-Recurrence Plot-aided Deep Learning Framework for Accurate Identification of Power Quality Disturbances”, Arabian Journal of Science and Engineering, March 2026, DOI: https://doi.org/10.1007/s13369-026-11148-7. (IF: 2.9)
Jitendra Singh, Vijay Kumar Singh, Debasmita Mondal, and Sahaj Saxena, “Prescribed finite-time backstepping control for blood glucose regulation in type 1 diabetes”, Computers in Biology and Medicine, vol. 196, pp. 110737 (1-13), 2025, DOI: https://doi.org/10.1016/j.compbiomed.2025.110737 (IF: 6.3)
Prity Soni Pankaj Mishra, and Debasmita Mondal, “A novel amalgamation of pre-processing technique and CNN model for accurate classification of power quality disturbances”, Electrical Engineering, vol. 107, pp. 5187–5206, November 2024, DOI: https://doi.org/10.1007/s00202-024-02818-6 (IF: 1.6)
Debasmita Mondal, Md. Zeeshan Equbal, Akshat Jain and Vaibhav Mishra, “Disposable paper-based sensor array for detection of orange juice adulteration”, Journal of Food Measurement and Characterization, vol. 18, pp. 5779-5790, May 2024, ISSN No. 2193-4134, DOI: https://doi.org/10.1007/s11694-024-02608-5 (IF: 3.0)
Shambhavi, M. B. Iyer, Soham Chattopadhyay, and Debasmita Mondal, “Colorimetric biosensing of triglyceride in waste water using lipase immobilized ZnO nanoparticle enriched chitosan nanoconjugate”, Journal of Taibah University for Science, vol. 18, no. 1, pp. 2344619, April 2024, ISSN: 1658-3655, DOI: https://doi.org/10.1080/16583655.2024.2344619 (IF: 3.3)
Debasmita Mondal, Aswathy M. Nair, and Soumyo Mukherji, “Volatile organic compound sensing in breath using conducting polymer coated chemi-resistive filter paper sensors”, Medical & Biological Engineering & Computing, vol. 61, pp. 2001–2011, June 2023, ISSN: 1741-0444, DOI: https://doi.org/10.1007/s11517-023-02861-8 (IF: 3.079)
Debasmita Mondal, Rosna Binish, Sonali Samanta, Debjani Paul and Soumyo Mukherji, “Detection of total bacterial load in water samples using a disposable impedimetric sensor”, IEEE Sensors Journal, vol. 20, no. 4, pp. 1712 – 1720, 2020, ISSN: 1530-437X, DOI: 10.1109/JSEN.2019.2950422 (IF: 4.325)
Debasmita Mondal, Debjani Paul and Soumyo Mukherji, “Impedance Spectroscopy-Based Detection of Cardiac Biomarkers on Polyaniline Coated Filter paper”, IEEE Sensors Journal, vol. 17, no. 16, pp. 5021-5029, 2017, ISSN: 1530-437X, DOI: 10.1109/JSEN.2017.2717701 (IF: 4.325)
Madhab Chandra Tripathy, Debasmita Mondal, Karabi Biswas, Siddhartha Sen, “Experimental Studies on Realization of Fractional Inductors and Fractional-order Bandpass Filters”, International Journal of Circuit Theory and Applications, vol. 43, no. 9, pp. 1183-1196, 2014, ISSN: 1097-007X, DOI: 10.1002/cta.2004 (IF: 2.378)
Madhab Chandra Tripathy, Debasmita Mondal, Karabi Biswas, Siddhartha Sen, “Design and performance study of phase-locked loop using fractional-order loop filter”, International Journal of Circuit Theory and Applications, vol. 43, no. 6, pp. 776-792, 2014, ISSN: 1097-007X, DOI: 10.1002/cta.1972 (IF: 2.378)
Dipanjan Saha, Debasmita Mondal, Siddhartha Sen, “Effect of Initialization on a Class of Fractional Order Systems: Experimental Verification and Dependence on Nature of Past History and System Parameters”, Circuits, Systems, and Signal Processing, vol. 32, no. 4, pp. 1501-1522, 2013, ISSN: 1531-5878, DOI: 10.1007/s00034-012-9537-4 (IF: 2.3)
Debasmita Mondal and Karabi Biswas, “Packaging of Single Component Fractional Order Element”, IEEE Transactions on Device and Materials Reliability, vol. 13, no. 1, pp. 73-80, 2013, ISSN: 15304388, DOI: 10.1109/TDMR.2012.2212020 (IF: 2.0)
Debasmita Mondal and Karabi Biswas, “Performance Study of Fractional Order Integrator using Single Component Fractional Order Element”, IET Circuits, Devices and Systems, vol. 5, no. 4, pp. 334-342, 2011, ISSN: 1751-8598, DOI: 10.1049/iet-cds.2010.0366 (IF: 1.62)

Dr. Dharmendra Kumar

N. K. Chauhan, A. Kumar, A. Jain, K. Singh, D. Kumar, S. S. Singh, and H. K. Shakya, "Optimizing cervical cancer diagnosis with a hybrid deep neural network and progressive resizing on pap smear WSIs," Scientific Reports, 2026.
D. Kumar, V. Jain, A. Mishra, R. Shrestha, M. Sahlabadi, and N. S. Rajput, "An intelligent cloud-integrated electronic nose system for non-destructive fruit ripeness monitoring in precision agriculture," Electronics, vol. 15, no. 12, p. 2502, 2026.
D. Kumar, A. K. Rabha, A. Mishra, R. Shrestha, and N. S. Rajput, “A novel E-Nose architecture based on virtual sensor-augmented embedded intelligence for a real-time in-vehicle carbon monoxide concentration estimation system,” Electronics, vol. 15, no. 8, Art. no. 1671, 2026.
D. Kumar, V. Jain, A. Mishra, R. Shrestha, and N. S. Rajput, “Smart exhaust analytics: A sensor-based way to identify the types of engines based on the composition of exhaust gas,” Sensors, vol. 26, no. 9, Art. no. 2863, 2026, doi: 10.3390/s26092863.
S. Singh, S. K. Meena, K. Singh, S. Kumar, D. Kumar, and R. K. Dewangan, "Quantum-inspired genetic algorithm for influence maximization on social networks," Concurrency and Computation: Practice and Experience, vol. 37, no. 25–26, p. e70332, 2025.
M. Kumar, D. Das, N. Singh, S. Mishra, D. Kumar, and N. Panda, "Ensemble-based disease prediction in medical image data," Procedia Computer Science, vol. 258, pp. 622–632, 2025.
M. Kumar, D. Kumar, D. Dash, R. B. Ray, N. K. Ray, and S. K. Mohapatra, “An ensemble based predictive analysis for chronic kidney disease with quantum neural networks,” in Proc. 2025 OITS Int. Conf. Information Technology (OCIT), Bhubaneswar, India, 2025, pp. 1–6.
M. Kumar, M. Azlan, Kanishk, K. Chatterjee, G. Satapathy, and D. Kumar, “FinReport: Explainable stock earnings forecasting via news factor analyzing model,” Procedia Computer Science, vol. 283, pp. 3570–3580
M. S. Mehrolia, D. Kumar, A. Verma, and A. K. Singh, "Fabrication and characterization of self-assembled low voltage operated OTFT for H2S gas sensor for oil and gas industry," IEEE Transactions on Electron Devices, vol. 71, no. 1, pp. 769–776, Jan. 2024.
M. S. Mehrolia, D. Kumar, A. K. Singh and J. S. Rana, "Simulation of CMOS Inverter Circuit and 1-Bit Magnitude Comparator Circuit Utilizing Low-Voltage Flexible TFTs," 2024 IEEE 21st India Council International Conference (INDICON), Kharagpur, India, 2024.
Kumar, D., Kumar, M., Chaudhri, S. N., Kumar, P., & Dash, D. (2024, February). Enhancing security with microwave and lidar sensor integration. In 2024 International Conference on Emerging Systems and Intelligent Computing (ESIC) (pp. 130-135). IEEE.
A. Verma, D. Kumar, V. N. Mishra, and R. Prakash, "A self-assembled polymer nanocomposite-based low-voltage white light phototransistor with UV-cured synthesized LaZrOx dielectric," IEEE Transactions on Electron Devices, vol. 70, no. 7, pp. 3575–3581, Jul. 2023.
D. Kumar, A. Verma, M. Kumar, V. Maurya, and A. Mishra, "Utilizing machine learning for the assessment of mosquito repellent effectiveness and decision support in product selection," Journal of Sustainable Building Technology and Urban Development, vol. 14, no. 4, pp. 519–533, 2023.

Dr. Aditya Gupta

V. Jain, A. Gupta, P. Verma, and S. S. Gill, "TinyFed6G: federated learning with TinyML for resource-constrained intelligence in 6G edge networks," IEEE Wireless Communications, 2026.
V. Jain, I. S. Rajput, A. Gupta, and S. Tyagi, "Heartbeat audio signal analysis for cardiovascular abnormality diagnosis using neural-networks," Health Information Science and Systems, vol. 14, no. 1, p. 12, 2026.
A. Gupta and V. Jain, "Blockchain-assisted IoT framework for reliable monitoring and predictive analytics in perishable food supply chains," Journal of Food Process Engineering, vol. 49, no. 1, p. e70333, 2026.
V. Jain, N. Arora, and A. Gupta, "Quantum-assisted cardiac diseases diagnosis and prediction using ECG images," The Journal of Supercomputing, vol. 81, no. 15, p. 1439, 2025.
P. Verma, A. Gupta, R. Dangi, G. Choudhary, N. Dragoni, and I. You, "FC-CACPHS: fog-cloud assisted context-aware framework for cyber-physical healthcare system," International Journal of Ad Hoc and Ubiquitous Computing, vol. 45, no. 3, pp. 186–199, 2024.
P. Verma, A. Gupta, V. Jain, K. Shashvat, M. Kumar, and S. S. Gill, "An AIoT-driven smart healthcare framework for zoonoses detection in integrated fog-cloud computing environments," Software: Practice and Experience, 2024.
A. Gupta, A. Singh, "Healthcare 4.0: recent advancements and futuristic research directions," Wireless Personal Communications, ISSN: 0929-6212, 2023.
A. Gupta, A. Singh, "EDL-NSGA-II: Ensemble deep learning framework with NSGA-II feature selection for heart disease prediction," Expert Systems, ISSN: 1468-0394, 2023.
A. Gupta, M. Bhagat, V. Jain, "Blockchain-enabled healthcare monitoring system for early Monkeypox detection," Journal of Supercomputing, ISSN: 0920-8542, 2023.
P. Verma, A. Gupta, M. Kumar, S. S. Gill, "FCMCPS-COVID: AI propelled fog–cloud inspired scalable medical cyber-physical system, specific to coronavirus disease," Internet of Things, ISSN: 2542-6605, 2023.
I. S. Rajput, A. Gupta, V. Jain, S. Tyagi, "A transfer learning-based brain tumor classification using magnetic resonance images," Multimedia Tools and Applications, ISSN: 1380-7501, 2023.
A. Gupta, A. Singh, "A Comprehensive Survey on Cyber-Physical Systems Towards Healthcare 4.0," SN Computer Science, ISSN: 2661-8907, 2023.
V. Jain, B. Kumar, A. Gupta, "Cybertwin-driven resource allocation using deep reinforcement learning in 6G-enabled edge environment," Computer and Information Sciences, 2022.
A. Gupta, I. Singh, G. Soni, V. Jain, "NSGA-II-XGB: Meta-heuristic feature selection with XGBoost framework for diabetes prediction," Concurrency and Computation: Practice and Experience, 2022
A. Gupta, A. Singh, "An Intelligent Healthcare Cyber-Physical Framework for Encephalitis Diagnosis based on Information Fusion and Soft-Computing Techniques," New Generation Computing, ISSN: 1882-7055, 2022.
A. Gupta, A. Singh, "An optimal multi-disease prediction framework using hybrid machine learning techniques," Kuwait Journal of Science, ISSN: 2307-4108, 2022.
A. Gupta, V. Jain, A. Singh, "Stacking Ensemble Based Intelligent Machine Learning Model For Predicting Post-COVID-19 Complications," New Generation Computing, ISSN: 1882-7055, 2021
Vibha Jain, Bijender Kumar, Aditya Gupta, ”Cybertwin-driven resource allocation using deep reinforcement learning in 6G-enabled edge environment”, Computer and Information Sciences (published by ScienceDirect), Impact Factor: 6.9, (SCIE).
Aditya Gupta, Ishwari Singh, Gunjan, Vibha Jain, Soni,”NSGA-II-XGB: Meta-heuristic feature selection with XGBoost framework for diabetes prediction”, Concurrency and Computation: Practice and Experience, (published by Wiley), Impact Factor: 2.0, (SCIE).
Aditya Gupta, Amritpal Singh, “An Intelligent Healthcare Cyber-Physical Framework for Encephalitis Diagnosis based on Information Fusion and Soft-Computing Techniques”, New Generation Computing (published by Springer), ISSN: 1882-7055, Impact Factor: 2.6, (SCIE).
Aditya Gupta, Amritpal Singh, “An optimal multi-disease prediction framework using hybrid machine learning techniques”, Kuwait Journal of Science, ISSN: 2307-4108, Impact Factor: 1.4, (SCIE).
Aditya Gupta, Amritpal Singh, “Healthcare 4.0: recent advancements and futuristic research directions”, Wireless Personal Communications, ISSN: 0929-6212, Impact Factor: 2.2, (SCIE).
Aditya Gupta, Amritpal Singh, “EDL-NSGA-II: Ensemble deep learning framework with NSGA-II feature selection for heart disease prediction”, Expert Systems, ISSN: 1468-0394, Impact Factor: 3.3, (SCIE).
Aditya Gupta, Monu Bhagat, Vibha Jain “Blockchain-enabled healthcare monitoring system for early Monkeypox detection”, Journal of Supercomputing, ISSN: 0920-8542, Impact Factor: 3.3, (SCIE).
Prabal Verma, Aditya Gupta, Mohit Kumar, Sukhpal Singh Gill,“FCMCPS-COVID: AI propelled fog–cloud inspired scalable medical cyber-physical system, specific to coronavirus disease”, Internet of Things, ISSN: 2542-6605, Impact Factor: 5.9, (SCIE).
Ishwari Singh Rajput, Aditya Gupta, Vibha Jain, Sonam Tyagi,“A transfer learning-based brain tumor classification using magnetic resonance images”, Multimedia Tools and Applications, ISSN: 1380-7501, Impact Factor: 3.6, (SCIE).
Aditya Gupta, Amritpal Singh, “A Comprehensive Survey on Cyber-Physical Systems Towards Healthcare 4.0 ”, SN Computer Science, ISSN: 2661-8907, (SCOPUS).

Dr. Arunpreet Kaur

K. Kaur, S. Jindal, P. Patial, A. Sharma, G. M. Ahlawat, and A. Kaur, “Ni-doped CdS nanoparticles: Morphological, structural and magnetic characteristics,” in Proc. Integrated Technologies in Electrical, Electronics and Bio-technology Engineering, pp. 377–378, 2026.
A. Kaur, S. Mittal, M. S. Alam, N. Narang, and K. Kaur, “Chaos inspired grey wolf optimizer for short-term hydrothermal scheduling,” in Proc. Integrated Technologies in Electrical, Electronics and Bio-technology Engineering, pp. 597–601, 2026.
S. Mittal, A. Kaur, M. S. Alam, and M. Badoni, “Implementation of TOSSI algorithm to control BADC in off-board EV charger,” in Proc. Integrated Technologies in Electrical, Electronics and Bio-technology Engineering, pp. 535–539, 2026.
A. Kaur and N. Narang, “Multi-objective generation scheduling of integrated energy system using hybrid optimization technique,” Neural Computing and Applications, vol. 36, pp. 1215–1236, 2024.
A. Kaur and N. Narang, “Economic emission generation scheduling of interconnected energy system using hybrid optimization technique,” Iranian Journal of Science and Technology, Transactions of Electrical Engineering, vol. 47, pp. 103–124, 2023.
A. Kaur and N. Narang, “Optimum generation scheduling of coordinated power system using hybrid optimization technique,” Electrical Engineering, vol. 101, pp. 379–408, 2019.

Dr. Sudhanshu Mittal

S. Mittal, A. Singh, and P. Chittora, “Design and development of leaky least mean fourth control algorithm for single-phase grid-connected multilevel inverter,” International Journal of Circuit Theory and Applications, vol. 52, no. 1, pp. 328–345, 2024.
S. Mittal, A. Singh, and P. Chittora, “Power quality enhancement in single phase two level/five level converters using adaptive-RBFNN algorithm,” Electrical Engineering, vol. 106, pp. 7565–7578, 2024.
S. Mittal, A. Singh, and P. Chittora, “Design and development of reduced switch five level inverter for interfacing renewable energy sources and EV charger,” Electrical Engineering, Apr. 21, 2024, pp. 1–5.
K. K. Mahto, P. K. Pal, P. Das, S. Mittal, and B. Mahato, “A new design of multilevel inverter based on T-type symmetrical and asymmetrical DC sources,” Iranian Journal of Science and Technology, Transactions of Electrical Engineering, vol. 47, no. 2, pp. 639–657, 2023.
A. Pandey, A. Singh, and S. Mittal, “Brain-inspired learning controller for grid-connected electric vehicle charging junction with improved power quality,” Arabian Journal for Science and Engineering, 2025.
S. Kundu, A. K. Giri, S. Kadiyan, S. Singh, and S. Mittal, “Renewable-based hybrid charging infrastructure for isolated microgrids: Enhancing power quality and supporting EV integration,” Renewable Energy Focus, Art. no. 100783, 2025.
S. Mittal, A. Singh, and P. Chittora, “Rodrigues Jacobi polynomial based control technique for on board EV charger in single phase power distribution system,” Electric Power Systems Research, vol. 248, Art. no. 111981, 2025.
S. Ranjan, J. Kumar, R. N. Mahanty, S. Mittal, and G. Yadav, “Design and control strategy of RES-based grid-connected EV systems using NLMAT algorithms to improve PQ,” Electrical Engineering, vol. 108, no. 3, Art. no. 205, 2026.
G. Yadav, S. Mittal, V. Kumar, S. Kundu, and P. Bansal, “Parameter optimisation of dual-QSG-based PLL for real-time control of grid-connected EV chargers,” Turkish Journal of Electrical Engineering and Computer Sciences, vol. 34, no. 4, pp. 699–720, 2026.
S. Mittal, A. Singh, P. Chittora, et al., “Renewable powered EV charger based on novel five-level converter controlled using BELL polynomials to enhance power quality,” Arabian Journal for Science and Engineering, 2026, doi: 10.1007/s13369-026-11635-x.

Dr. Dipjyoti

Dipjyoti Das, Sudipta Chakraborty and Utkal Mehta, “Explicit Design of Fractional-order Controller with Less Tuning Complexity for Integrating Time Delay System”, IEEE Transactions on Industry Applications, IEEE, (2026). (SCIE, Impact Factor: 5.2) (Accepted and Published). DOI: https://doi.org/10.1109/TIA.2026.3678539
Dipjyoti Das and Sudipta Chakraborty, “Experimentally Validated Three Parametric Dual-loop Hybrid FOTID-PD Controller for Stable and Integrating Processes with Time Delay”, ISA Transactions, Vol: 175, (587-605), Elsevier (2026). (SCIE, Impact Factor: 6.6) (Accepted and Published). DOI: https://doi.org/10.1016/j.isatra.2026.05.020
Dipjyoti Das, Sudipta Chakraborty and Asim Kumar Naskar, “Controller design on a new 2DOF PID structure for different processes having integrating nature for both the step and ramp type of signals”, International Journal of Systems Science, Taylor & Francis, 54(7), 1423-1450, (2023). (SCIE, Impact Factor: 4.6) (Accepted and Published). DOI: https://doi.org/10.1080/00207721.2023.2177903
Dipjyoti Das, Sudipta Chakraborty, Utkal Mehta and G Lloyds Raja, “Fractional dual-tilt control scheme for integrating time delay processes: Studied on a two-tank level system”, IEEE Access, 12 (7479-7489), IEEE, (2024). (SCIE, Impact Factor: 4.2) (Accepted and Published) DOI: https://doi.org/10.1109/ACCESS.2024.3351183
Dipjyoti Das, Sudipta Chakraborty and G Lloyds Raja, “Enhanced dual-DOF PI-PD control of integrating-type chemical processes”, International Journal of Chemical Reactor Engineering, De Gruyter, 21(7), 907-920, (2023). (SCIE, Impact Factor: 1.5) (Accepted and Published). DOI: https://doi.org/10.1515/ijcre-2022-0156
Dipjyoti Das, Sudipta Chakraborty, Deepak Kumar and G Lloyds Raja, “Dual-Loop PID Control Strategy for Ramp Tracking and Ramp Disturbance Handling for Unstable CSTRs”, Chemical Product and Process Modeling, Gruyter. (ESCI, Impact Factor: 1.6) (Accepted and Published). DOI: https://doi.org/10.1515/cppm-2024-0081
Prabir Singha, Dipjyoti Das and Sudipta Chakraborty, “Predictive Tuning Strategy for Integrating Processes Using a Single Adjustable Parameter”, Arabian Journal for Science and Engineering, Springer Berlin Heidelberg, (2026). (SCIE, Impact Factor: 3.1) (Accepted and Published). DOI: https://doi.org/10.1007/s13369-026-11403-x
Rammurti Meena, Dipjyoti Das, Vipin Chandra Pal, and Sudipta Chakraborty, “Smith-predictor based enhanced Dual-DOF fractional order control for integrating type CSTRs,” International Journal of Chemical Reactor Engineering, De Gruyter, 21(9), 1091-1106, (2023). (SCIE, Impact Factor: 1.5) (Accepted and Published). DOI: https://doi.org/10.1515/ijcre-2022-0216
Prabir Singha, Dipjyoti Das, Sudipta Chakraborty and G Lloyds Raja, “Experimentally validated predictive PI-PD control strategy for delay-dominant chemical processes”, Chemical Engineering Science, Pergamon, 295, 120197, (2024). (SCIE, Impact Factor: 5.1) (Accepted and Published). DOI: https://doi.org/10.1016/j.ces.2024.120197
Sudipta Chakraborty, Dipjyoti Das, Asim K Naskar and Sandip Ghosh, “Frequency Loop-Shaping and IMC-Based Integer-Order Robust PID Controller Design for Fractional-Order Processes with Time-Delay”, IETE Journal of Research, Taylor & Francis, 1-12, (2024). (SCIE, Impact Factor: 1.5) (Accepted and Published). DOI: https://doi.org/10.1080/03772063.2024.2367048
Prabir Singha, Dipjyoti Das, Rammurti Meena and Sudipta Chakraborty, “Experimentally validated predictive dual parametric fractional-order tuning approaches for time delayed chemical processes”, Journal of the Taiwan Institute of Chemical Engineers, Elsevier, 180, 106463, (2025). (SCIE, Impact Factor: 6.9) (Accepted and Published). DOI: https://doi.org/10.1016/j.jtice.2025.106463
Manidipa Sarkar, Prabir Singha, Rammurti Meena, Dipjyoti Das, Sudipta Chakraborty and Jupitara Hazarika, “Predictive two-loop fractional-order control law for industry-oriented integrating type chemical processes and reactors”, Chemical Product and Process Modeling, De Gruyter, (2025). (ESCI, Impact Factor: 1.6) (Accepted and Published). DOI: https://doi.org/10.1515/cppm-2025-0201
Prabir Singha, Dipjyoti Das and Sudipta Chakraborty, “Predictive Tuning Strategies for Different Classes of Delay Dominant Chemical Processes”, Journal of the Taiwan Institute of Chemical Engineers, Elsevier, (2025). (SCIE, Impact Factor: 6.9) (Accepted and Published). DOI: https://doi.org/10.1016/j.jtice.2025.106570

Dr. Ankush Gupta

G. M. Meseret and A. Gupta, “Advanced AGC of multi-area interconnected power systems using SBOA-tuned parallel fuzzy logic controller with energy storage,” Scientific Reports, 2026, doi: 10.1038/s41598-026-62628-7.
G. M. Meseret and A. Gupta, “Design and analysis of a novel multi-stage neuro-fuzzy TID controller for AGC in multi-area hydro-thermal power systems with wind integration under nonlinearities and cyber attack vulnerabilities,” 2026, doi: 10.1155/er/3164141.
A. Gupta and S. Suhag, “A techno-economic-environmental assessment and control strategy for hybrid renewable energy based autonomous microgrid energy infrastructure in island societies of Northern India,” Springer Netherlands, 2024, doi: 10.1007/s10668-024-04616-3.
A. Gupta and S. Suhag, “Hybrid structure integrating multiple battery and hydrogen charging stations in an autonomous microgrid for customized energy and voltage control,” Sustainable Materials and Technologies, vol. 41, p. e01116, 2024, doi: 10.1016/j.susmat.2024.e01116.
A. Gupta and S. Suhag, “Utilization of distinct HVAC operation modes to improve demand response flexibility in the pharmaceutical industry and economic analysis for optimization by HOMER software,” Journal of Engineering for Sustainable Buildings and Cities, vol. 4, no. 3, 2023, doi: 10.1115/1.4063249.
A. Gupta and S. Suhag, “A control strategy incorporating multiple EV charging stations for an islanded micro-grid energy management and voltage regulation,” Energy Storage, vol. 6, no. 1, pp. 1–18, 2024, doi: 10.1002/est2.548.
A. Gupta and S. Suhag, “Charging station control strategy considering dynamic behaviour of electric vehicles with variable state of charge regulation for energy management of autonomous micro-grid,” Journal of Energy Storage, vol. 59, p. 106460, 2023, doi: 10.1016/j.est.2022.106460.
A. Gupta and S. Suhag, “Evaluation of energy storage systems for sustainable development of renewable energy systems—A comprehensive review,” Journal of Renewable and Sustainable Energy, vol. 14, no. 3, 2022, doi: 10.1063/5.0075623.

Dr. Manvir Kaur

A. Jain, S. Bhullar, and M. Kaur, “Single-switched inductor-based active cell balancing with PI-controlled energy equalization for multicell lithium-ion batteries,” International Transactions on Electrical Energy Systems, Art. no. 1285004, 2026.
R. Lamba and M. Kaur, “Data driven control of brushless DC motor,” in Proceedings of the International Conference on Systems, Control and Automation (ICSCA 2023), Lecture Notes in Electrical Engineering, vol. 1260, Singapore: Springer, pp. 125–135, 2023.
S. Ghosh, M. Kaur, S. Bhullar, and V. Karar, “Hybrid ABC-BAT for solving short term hydrothermal scheduling problem,” Energies, MDPI, Feb. 2019.
M. Kaur and S. Ghosh, “Effective loss minimization and allocation of unbalanced distribution network,” Energies, vol. 10, Art. no. 1931, Nov. 2017.
M. Kaur and S. Ghosh, “Network reconfiguration of unbalanced distribution networks using fuzzy-firefly algorithm,” Applied Soft Computing, vol. 49, Sep. 2016

Dr. Manpreet Kaur

M. Kaur and S. Sondhi, “Energy-aware prioritised double Q-learning: A novel reinforcement learning approach for nonlinear robotic systems,” IEEE Access, 2026.
M. Kaur, S. Sondhi, and V. K. Yanumula, “Design and optimization of controller-based approach for magnetic-field driven robotic arm joints and end-effector,” Journal of Field Robotics, 2025.
M. Kaur, S. Sondhi, and V. K. Yanumula, “Design of fractional order PDD controller for robotic arm using partial cancellation of non-minimum phase zero,” Alexandria Engineering Journal, vol. 110, pp. 203–214, 2025.
M. Kaur, S. Sondhi, and V. K. Yanumula, “A novel fractional-order enhanced model reference adaptive controller (FOEMRAC) approach for magnetic end effectors,” Electrical Engineering, vol. 106, no. 4, pp. 4507–4525, 2024.
M. Kaur, V. K. Yanumula, and S. Sondhi, “Trajectory planning and inverse kinematics solution of Kuka robot using COA along with pick and place application,” Intelligent Service Robotics, vol. 17, no. 2, pp. 289–302, 2024.

Dr. Janardan Kundu

Janardan Kundu “Design, analysis, set-up fabrication, control and a novel analytical approach of a levitation prototype for a symmetric shaped object” Asian Journal of Control (Wiley) (2022). vol. 25(1), pp. 537-550 https://doi.org/10.1002/asjc.2838 (IF- 3.452).
Janardan Kundu, Mainak Sengupta, “Detailed comparative investigations on levitation prototypes of a ball and a rectangular plate of same mass using a novel analytical model and experiments”, Journal of Sadhana (Springer edition), vol. 46, 81 (2021). https://doi.org/10.1007/s12046-021-01611-6 (IF- 1.271).
Janardan Kundu, Mainak Sengupta, “Design, analysis, fabrication, control and comparative study of two different shaped plate levitation prototypes”, Journal of Sadhana (Springer edition), vol. 45, 53 (2020) https://doi.org/10.1007/s12046-020-1284-9 (IF- 1.271).
Janardan Kundu “Prototype development and levitation of a large rectangular platform with multi-axis control” International Journal of Automation and Control (Inderscience) (2023), vol. 17(2), pp. 153-170, DOI: https://doi.org/10.1504/IJAAC.2023.129395 (IF-2.11).
Janardan Kundu, Vinod Kumar Yadav “Comparative study on mechanical dynamics of four lab developed levitation prototypes” International Journal of Modelling Identification and Control (Inderscience) (2024) IF- 1.679. vol. 44(2), pp 181-187. https://doi.org/10.1504/IJMIC.2024.136635.
Vinod Kumar Yadav, Manikant Kumar, Janardan Kundu and Vikas Sharma "LED: an Optimistic Solution for a Brighter Future" IEEE Journal of Emerging and Selected topics in Industrial Electronics (IEEE) (2022) vol. 4(1),pp.299-308 DOI: 10.1109/JESTIE.2022.3215878 (IF- 4.472).
Vinod Kumar Yadav, Manikant Gupta, Ganesh Prajapat, Janardan Kundu and Atul Kumar Sharma "Comprehensive Study for Two Stage Isolated LED Driver PFC Topologies" International Journal of Power Electronics (Inderscience) (2023) vol. 18, no. 3, pp. 261-313 (IF- 0.36). DOI: https://doi.org/10.1504/IJPELEC.2023.133063.
Janardan Kundu, Vinod Kumar Yadav “Design, modelling, set-up fabrication and control of a levitation system for a steel plate” International Journal of Automation and Control (Inderscience) (2023) vol. 17, no. 5, pp. 529-550 (IF- 2.11). DOI: https://doi.org/10.1504/IJAAC.2023.133978.
Janardan Kundu, Victor Koledov, Richard M. Stephan, Zigang Deng, Manashita Borah, Binoy Krishna Roy, Svetlana von Gratowski, Avadh Pati and Satadru Kashyap “Design, testing an implementation of a linear state variable feedback controller for providing tracking/regulation of a large platform of a MagLev vehicle” Part I: Journal of Systems and Control Engineering (Sage) (2023)vol.237(7)pp.1206–1218.DOI: https://doi.org/10.1177/09596518231153689 (IF- 1.592).
Janardan Kundu “A study on attraction type electromagnetic levitation systems for four different shaped objects” International Journal of Power Electronics (Inderscience) (2024) vol. 19(1) pp. 79-98. DOI: 10.1504/IJPELEC.2024.10057096 (IF-0.36).

Student Publications

List of Publication

Ritika Agarwal, Krishna Kumar Gupta, Shakti Singh, “A double boost 9-level switched capacitor-based multilevel inverter for photovoltaic applications,” International Journal of Circuit Theory and Applications, pp. 1-28, 2023, doi: https://doi.org/10.1002/cta.3596. (Impact Factor: 2.378)
Ritika Agarwal, Krishna Kumar Gupta, Shakti Singh, “A double boost 9-level switched capacitor-based multilevel inverter for photovoltaic applications,” International Journal of Circuit Theory and Applications, pp. 1-28, 2023, doi: https://doi.org/10.1002/cta.3596. (Impact Factor: 2.378)
Ritika Agarwal, Krishna Kumar Gupta, Shakti Singh, “A double boost 9-level switched capacitor-based multilevel inverter for photovoltaic applications,” International Journal of Circuit Theory and Applications, pp. 1-28, 2023, doi: https://doi.org/10.1002/cta.3596. (Impact Factor: 2.378)

List of publication- Click here to view

Patents

Dr. Sangeeta Kamboj

Dr. Sangeeta Kamboj,Dr. Ravinder Aggarwal, Pratham Thakur, Gyanendra, Soumya Mishra, Aprajita Naryal, Aishani Sharma,"A System of Non Invasive diagnosis for diabetes and Dyspepsia Detection using ECG Signal",202311004594 A , 03-02-2023
Dr. Sangeeta Kamboj, Dr. Amrita Sinha,"SYSTEM AND METHOD FOR PROTECTING A TRANSMISSION LINE USING TAYLOR WEIGHTED LEAST SQUARE (TWLS) BASED PHASOR MEASURING UNITS (PMU)", 202111038236,03-03-2023
Dr. Sangeeta Kamboj,Dr. Ravinder Aggarwal,Mr. Aryaman,Mr. Rithik, Mr. Yogesh, " A System of Non Invasive diagnosis of diabetes", 202211005722A,02-02-2022.

Publication List (Article/Patent/Book Chapter)

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