Faculty Publications

Dr. R.S Kaler

  • Singh, S., R. S. Kaler, and S. Sharma. "A Novel Two-Dimensional Material Based Optical Fiber Surface Plasmon Resonance Sensor for Sensing of Organic Compounds in Infrared Spectrum Window." Journal of Communications Technology and Electronics 63, no. 11 (2018): 1269-1275.
  • Kaur, Gurpreet, and Rajinder Singh Kaler. "Sensitivity enhancement of FBG sensor for portlandite monitoring." Optical Fiber Technology 46 (2018): 83-87.
  • Kaur, Gurpreet, R. S. Kaler, and Naveen Kwatra. "Experiment on a highly sensitive fiber Bragg grating optical sensor to monitor strain and corrosion in civil structures." Journal of Optical Technology 85, no. 1 (2018): 36-41.
  • Painam, Balveer, R. S. Kaler, and Mukesh Kumar. "On-chip oval-shaped nanocavity photonic crystal waveguide biosensor for detection of foodborne pathogens." Plasmonics 13, no. 2 (2018): 445-449.
  • Teotia, Pradeep Kumar, and R. S. Kaler. "1-D grating based SPR biosensor for the detection of lung cancer biomarkers using Vroman effect." Optics Communications 406 (2018): 188-191.
  • Kaur, Gurpreet, and Rajinder Singh Kaler. "Nanohybrid optical sensor for simultaneous measurements of strain, temperature, and vibration for civil application." Micro & Nano Letters 13, no. 1 (2018): 1-3.
  • Gupta, R., and R. S. Kaler. "Performance investigation of high capacity 10 Tb/s LP-MDM-WDM over multimode fiber link for short reach applications." Optoelectronics and Advanced Materials-Rapid Communications 12, no. July-August 2018 (2018): 441-446.
  • Singh, Sarbjit, R. S. Kaler, and Siddharth Sharma. "FEM simulation analysis of fiber optic surface plasmon resonance sensor based on array of circular gold nanorod." Optik 183 (2019): 508-512.
  • Kaur, Gurpreet, and R. S. Kaler. "Wavelength remodulation and dispersion compensation for full-duplex radio over fiber System using fiber Bragg grating." Optik (2019): 163223.
  • Goyal, Shivani, Rajinder Singh Kaler, and Hardeep Singh. "Crosstalk estimation of 21.12 Tb/S Nyquist superchannels with hybrid modulation using trench-assisted multicore fibre." IET Optoelectronics 13, no. 5 (2019): 218-223.
  • Gupta, Rajan, and Rajinder Singh Kaler. "Nonlinear Kerr and intermodal four-wave mixing effect in mode-division multiplexed multimode fiber link." Optical Engineering 58, no. 3 (2019): 036108.

Dr. Smarajit  Ghosh

  • 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. DOI: http://dx.doi.org/doi:10.1016/j.asoc.2016.09.019 (ASOC 3818) (Impact Factor: 3.541).
  • 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

  • Adaptive threshold method for peak detection of surface electromyography signal from around shoulder muscles, Amanpreet Kaur, Ravinder Agarwal & Amod Kumar, Journal of Applied Statistics, vol. 45, no. 4, 714–726, 2018
  • Tungsten Oxide Thin Film Characterizations for Acetone Gas Detection, Smiti Sachdeva, Ajay Agarwal and Ravinder Agarwal, Journal of Metrology Society of India, vol. 33, pp 57-62, 2018
  • Comparative analysis of classification based algorithms for diabetes diagnosis using iris images, Piyush Samant and Ravinder Agarwal, Journal of Medical Engineering & Technology, vol. 42, no. 1, pp 1-8 , 2018
  • Respiratory health of school children in relation to their Body Mass Index (BMI) during crop residue burning events in North Western India, Sachin Gupta,  Susheel Mittal and Ravinder  Agarwal, Journal of Metrology Society of India, vol. 33, pp 113-122, 2018
  • Effect of annealing on tungsten oxide thin films for acetone gas detection, Smiti Sachdeva, Ajay Agarwal and Ravinder Agarwal, Bulletin of Materials Science, vol. 41, pp 105- 113, 2018
  • Machine learning techniques for medical diagnosis of diabetes using iris images, Piyush Samant and Ravinder Agarwal, Computer Methods and Programs in Biomedicine, vol. 157, pp 121-128, 2018
  • Electromyographic signal driven continuous locomotion mode identification module design for lower limb prosthesis control, Rohit Gupta and Ravinder Agarwal, Arabian Journal for Science and Engineering, vol. 43, pp 7817–7835, 2018,
  • Epidemiological study on respiratory health of school children of rural sites of malwa region (India) during post - harvest stubble burning events, Gurpreet S. Saggu, Susheel K. Mittal, Ravinder Agarwal and Gurfan Beig, Journal of Metrology Society of India, vol. 33, pp 281-295, 2018
  • Contonuous human locomotion identification for lower limb prosthesis control, Rohit Gupta and Ravinder Agarwal, CSI Transuction on ICT, vol. 6, no. 1, pp 17-31, 2018
  • A comparative study of gas sensing properties of tungsten oxide, tin oxide and tin-doped tungsten oxide thin films for acetone gas detection, Smiti Sachdeva, Ajay Agarwal and and Ravinder Agarwal, Journal of Electronic Materials, vol. 48, pp 1617-1628, 2019
  • A novel approach to ECG R-peak detection, Amanpreet Kaur, Alpana Agarwal, Ravinder Agarwal and Sanjay Kumar, Arabian Journal for Science and Engineering, vol. 44, pp 6679–6691, 2019
  • MEMS based tin oxide thin film gas sensor for diabetes mellitus applications, Smiti Sachdeva, Ravinder Agarwal and Ajay Agarwal, Microsystem Technologies, vol. 25, pp 2571–2586, 2019
  • Assessment of despeckle filtering algorithms for segmentation of breast tumors from Ultrasound Images, Kriti, Jitendra Virmani and Ravinder Agarwal, Biocybernetics and Biomedical Engineering, vol. 39, pp 100-121, 2019
  • Apparent resistance to fall in Forced vital capacity in children with increasing mass level of fine particulate: A physiological phenomenon, Sachin Gupta,  Susheel Mittal and Ravinder Agarwal, Human and Ecological Risk Assessment: An International Journal, pp 1-10, 2019
  • Performance Evaluation of Various Classifiers for Predicting Knee Angle from EMG Signals, Inderjeet Dhindsa and Ravinder Agarwal, Expert Systems, pp 1-14, January 2019
  • Classification of EEG signals using hybrid combination of features for lie detection, Navjot Saini, Saurabh Bhardwaj and Ravinder Agarwal, Neural Computing and Applications, Feb. 2019     [DOI: 10.1007/s00521-019-04078-z]
  • Effect of Despeckle Filtering on Classification of Breast Tumors using Ultrasound Images, Kriti, Jitendra Virmani and Ravinder Agarwal, Biocybernetics and Biomedical Engineering, vol. 39, pp 536-560, 2019
  • Single channel EMG-based continuous terrain identification with simple classifier for lower limb prosthesis, Rohit Gupta and Ravinder Agarwal, Biocybernetics and Biomedical Engineering, vol. 39, pp 775 – 788, 2019
  • An efficient R-peak detection using riesz fractional order digital differentiator,  Amandeep Kaur, Sanjay Kumar, Alpana Agarwal and Ravinder Agarwal, Circuits, Systems & Signal Processing, August 2019
  • Uncertainty assessment in cognitive load for multiple object tracking based on EEG, Ashish Aggarwal and Ravinder Agarwal, Journal of Metrology Society of India, 2019
  • Analysis of computational techniques for diabetes diagnosis using the combination of iris based features and physiological, Piyush Samant, Ravinder Agarwal, Neural Computing and Applications, vol. 31, pp 8441–8453, 2019
  • Single muscle surface EMGs locomotion identification module for prosthesis control, Rohit Gupta and Ravinder Agarwal, Neurophysiology, vol. 51, pp 191-208, 2019

Dr. Mandeep  Singh

  • 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

  • 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.

Ms. 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. Sunil K. Singla

  • Ruchika lamba, Sunil K Singla, Swati Sondhi. “Fractional Order PID Controller for Power Control in Perturbed Pressurized Heavy Water Reactor”, Nuclear Engineering and Design, 323(2017)84-94. (Impact factor=1.541).

  • Puneet Mishra, Sunil Kumar Singla.  “Brain Biometric: Non-Linear analysis of EEG waveform during Imaginary task”, Journal of Medical Imaging and Health Informatics, 5(6) (2015)1188-1193. (Impact factor=0.549)

  • Vikram Chopra, Sunil Kumar Singla and Lillie Dewan. “Comparative Analysis of Tuning a PID Controller using Intelligent Methods”, ACTA Polytechnica Hungarica, 11(8) (2014)235-249(Impact factor=1.286)

  • Puneet Mishra, Sunil Kumar Singla. “Artifact Removal from Biosignal using Fixed Point ICA Algorithm for Pre-processing in Biometric Recognition”, MEASUREMENT SCIENCE REVIEW, 13(1) (2013) 7-11.(Impact factor=1.122)

  • S. K. Singla, A. S. Arora. “Optimizing the Rotation and Translation of Fingerprint Images using Genetic Algorithm”, International Journal of Applied Artificial Intelligence, 26(6) (2012) 541-553.(Impact factor=0.988)
  • S. K. Singla, A. S. Arora. “A Karnaugh Map Based Fingerprint Minutiae Extraction Method”, Songklanakarin International Journal of Science and Technology, 32(3) (2010)247-254.(Impact Factor=1)

  • Puneet Mishra, Sunil Kumar Singla. “EEG based Biometric Framework using Time and Frequency domain features”, Journal of Medical Imaging and Health Informatics. 4(4)(2014) 593-599.(Impact factor=0.549)

Dr. Mukesh  Singh

  • 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

  • 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. Gagandeep Kaur

  • 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. Parag  Nijhawan

  • 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.

Dr. M.D.  Singh

  • 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. Nitin Narang

  • 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. Prasanjit  Basak

  • 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 & Systems Journal (2019), Volume 47, 2019 - Issue 14-15, Pages 1349-1361, Taylor and Francis, https://doi.org/10.1080/15325008.2019.1689448, Impact Factor: 2018: 0.888 © Thomson Reuters Journal Citation Reports 2018.  
  • 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), https://doi.org/10.1016/j.isatra.2019.08.055. Impact Factor: 2018: 4.343 © Thomson Reuters Journal Citation Reports 2018.
  • 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, Impact Factor: 2018: 3.229 © Thomson Reuters Journal Citation Reports 2018.
  • 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), doi: https://doi.org/10.1016/j.jclepro.2018.12.033, vol. 212, pages 343- 352, Impact Factor: 2018:  6.395 © Thomson Reuters Journal Citation Reports 2018.
  • 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, Impact Factor: 2018: 3.229  © Thomson Reuters Journal Citation Reports 2018.
  • 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), doi: 10.1016/j.jclepro.2018.05.097, vol. 195, pages 10-20, Impact Factor: 2018: 6.395 © Thomson Reuters Journal Citation Reports 2018.
  • 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), doi: 10.1007/s40998-018-0087-z, vol. 42, issue 4, pages 429-450, Impact Factor: 2018: 0.6 © Thomson Reuters Journal Citation Reports 2018.
  • 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. Impact Factor: 2018: 10.556 © Thomson Reuters Journal Citation Reports 2018.
  • 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, ISSN: 1364-0321, Volume 16, Issue 8, October 2012, Pages 5545-5556. Impact Factor: 2018: 10.556 © Thomson Reuters Journal Citation Reports 2018.

Dr. Surya Prakash

  • 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, DOI: 10.1080/03772063.2019.1654936. [TIF:0.82]

  • 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 [TIF:1.4]

  • 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.   [TIF:3.076]

  • 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:10.57]
  • 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, (https://doi.org/10.1080/03772063.2018.1548908). [TIF:0.793]
  • 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:0.715]
  • 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:1.07]
  • 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:1.231]

  • 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:0.793]

  • 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:0.793]
  • Surya Prakash, S.K. Sinha ‘Simulation based neuro-fuzzy hybrid intelligent PI control approach in four-area load frequency control of interconnected power systems’, Applied Soft Computing, Vol. 23 (2014) pp 152–164, Elsevier, Science Direct. [TIF:4.873]

Dr. Deepti  Mittal

Dr. S.K. Aggarwal

  • 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, 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]
  • 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. Vishal Srivastava

  • 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. Amrita Sinha

  • Amrita Sinha, D. N. Vishwakarma and R. K. Srivastava, “Modeling and Real Time Simulation of Internal Faults in Turbogenerators”, Electric Power Comp. & Sys., 37(4) (2009) 957-969. [SCI Impact Factor 0.888]
  • Amrita Sinha, D. N. Vishwakarma and R. K. Srivastava, “Modeling and Simulation of Internal Faults in Salient-pole Synchronous Generators with wave windings”, Elec. Power Comp. & Sys., 38(1) (2010)100-114. [SCI Impact Factor 0.888]
  • Amrita Sinha, D. N. Vishwakarma and R. K. Srivastava, “Modeling and Simulation of Internal Faults in Synchronous Generators for Robust Numerical Protection”, International Journal of Electrical Power and Energy Conversion, 3(1/2) (2011) 111-126. [Scopus Impact Factor 0.43]
  • Amrita Sinha, and D. N. Vishwakarma, “Pattern Classification based Intelligent Numerical Protection of Salient-pole Synchronous Generator using Neural Networks”, Journal of Electrical Systems (JES), 9(1) (2013) 125-136 [ESCI Impact Factor 0.2]
  • Bhawna Nidhi, Ramesh Kumar, A. Sinha, “Neural Network and Fuzzy Logic Based Protection of Series Compensated Double Circuit Transmission line”, International Journal of Engineering Research and Applications (IJERA), 3(1) (2013) 1545-1551.
  • Raushan Kumar, Amrita Sinha and Girish Kumar Choudhary, “Dynamic modelling and simulation of an autonomous hybrid power system: non-conventional energy systems”, Int. J. of Renewable Energy Technology, 2016 Vol.7, No.3, pp.225 - 239

Dr. Shakti Singh

  • 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, 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) (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). (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. Suman Bhullar

  • Suman Bhullar, Smarajit Ghosh, “A novel search technique to solve load flow of distribution networks”, Journal of Engineering Research, 2017..
  • Suman Bhullar, Smarajit Ghosh, “Optimal Integration of Multi Distributed Generation Sources in Radial Distribution Networks Using a Hybrid Algorithm”, Energies,2018..
  •  Smarajit Ghosh, Manvir Kaur, Suman Bhullar and Vinod Karar, “Hybrid ABC-BAT for Solving Short-Term Hydrothermal Scheduling Problems”, Energies.2019.
  •  Satwinder Singh, Suman Bhullar, “Hardware implementation of auto switching and light intensity control of LED lamps”, Balkan Journal of Electrical and Computer Engineering,2015.
  •  Satwinder Singh, Suman Bhullar, “Hardware Implementation and Design of PV Off-Grid System for Street lighting at Thapar University, Patiala”, Balkan Journal of Electrical and Computer Engineering,2015.
  •  Alok Jain and Suman Bhullar, “Effectiveness of DVR to Compensate the Load Voltage Harmonics in Distribution Networks under Various Operating Conditions (using FOC induction motor as load”, International Journal of Advanced Research,2013.
  •  Tafheem Ashraf and Suman Bhullar ,  “Power Flow of Radial Distribution Network using Breadth First Search Algorithm ”, International Journal of Engineering Technology, Management and Applied Sciences, 2017,Vol. 5, Issue 5 pp. 455-461 .

Dr. Souvik Ganguli

  •  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 Computing23(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 Science70, 688-700.

Dr. Mooninder Singh

  •  MI Singh, M Singh (2017). “Development of a real time emotion classifier based on evoked EEG”, Biocybernetics and Biomedical Engineering 37(3), 498-509.
  •  MI Singh, M Singh (2017). Development of low-cost event marker for EEG-based emotion recognition. Transactions of the Institute of Measurement and Control, 39(5), 642–652.
  •  M Singh, MI Singh, S Gangwar (2013). “Feature extraction from EEG for emotion classification”, International Journal of Information Technology & Knowledge Management, 7(1), 6-10.
  •  M Singh, M Singh, S Gangwar (2013). Emotion recognition using electroencephalography (EEG): a review. International Journal of Information Technology & Knowledge Management 7(1), 1-5.

Dr. Sangeeta Kambpj

  •  Gursagar Singh, Sangeeta Kamboj. “ Modelling of Smart Car Parking System using PLC” , International Journal of Mechanical Engineering and Technology (IJMET), (2018): 909–915. [Scopus Impact Factor 10.6].
  • Tarun Gupta, Sangeeta Kamboj. “Development of Automatic Packaging System using PLC and SCADA for Industries” International Journal of Mechanical Engineering and Technology (IJMET), (2018): 1277–1287. [Scopus Impact Factor 10.6].
  • H.Kumar, S.Kamboj. “Modelling of Automatic Material Handling System using PLC”, International Journal of Advanced Trends in Computer Science and Engineering (2019): pp927-930. [Scopus Impact Factor 3.9].
  • 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) (2019): 2019-2102. [Scopus Impact Factor 5.54]
  • S.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 (2019):. [Scopus Impact Factor 5.54].</
  • Gazal, S.Kamboj.,“ Designing and Implementation of Free RTOS Multichannel Data Logger using Microcontroller”, International Journal of Innovative Technology and Exploring  Engineering (IJITEE), (2019): 2832-2836. [Scopus Impact Factor 5.54].</
  • Simran, S.Kamboj, Aditi Diwan. ; Development of Automatic Sorting Conveyor Belt using PLC.; International Journal of Mechanical Engineering and Technology (IJMET), (2019): 109-118 [Scopus Impact Factor 10.6].

Dr. Santosh Sonar

  • 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. Vikram Chopra

  • Pankaj Jood, S.K. Agarwal, Vikram Chopra, “Performance assessment of neuro fuzzy load frequency controller in the presence of system non-linearities and renewable penetration”. Computers and Electrical Engineering, Vol. 74, pp. 362-378, 2019.
  • Shubham Goel, Ravinder Kumar, Munish Kumar, Vikram Chopra, “ An efficient page ranking approach based on vector norms using sNorm (p) algorithm”. Information Processing and Management, Vol. 56, pp. 1053-1066, 2019.
  • Vikram Chopra, Sunil K Singla, Lillie Dewan, “Stabilization of an X-Y inverted pendulum using adaptive gain scheduling PID controllers”. Journal of Engineering Research (Springer) Vol. 3, No. 2. pp. 59-78, 2015.
  • Vikram Chopra, Sunil K Singla, Lillie Dewan, “Comparative Analysis of Tuning a PID Controller using Intelligent Methods”. Acta Polytechnica Hungarica, Vol. 11, No.8, pp. 235-249, 2014, IEEE Hungry Section.
  • R. Kumar, S.K. Singla, 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, Elsevier

Dr. Swati Sondhi

  • Swati Sondhi and Yogesh V. Hote, "Fractional Order PID Controller for Perturbed Load Frequency Control Using Kharitonov"s Theorem", International Journal of Electrical Power and Energy Systems, Elsevier Publication. Vol. 78, pp.884-896, 2016. SCIE Impact Factor- 4.418.
  •  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-7.181.

  • 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.
  • SCIE Impact factor- 1.541.

  • Swati Sondhi and Yogesh V. Hote, "Fractional Order PI Controller with Specific Gain-Phase Margin for MABP Control", IETE Journal of Research, Taylor & Francis. vol. 61, issue 2, pp. 142-153. 2015. SCIE Impact Factor- 0.793.

  • 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- 0.888.

  • Amrit Kaur Bhullar, Ranjit Kaur and Swati Sondhi, “Enhanced Crow Search Algorithm for AVR Optimization”, Soft Computing, Springer. SCIE Impact factor- 2.784.

  • Swati Sondhi and Yogesh V. Hote, "Relative Stability Test For Fractional Order Interval Systems Using Kharitonov"s Theorem", Journal of Control Automation and Electrical Systems, Springer. Vol.27, issue 1, pp.1-9, 2016.

  • Ashutosh Bist and Swati Sondhi, “Fractional Order Differentiator Based Filter For Edge Detection of Low Contrast Underwater Images”, International Journal of Electronics, Electrical and Computational Systems, Academic Science. Vol.6, No.7, pp.376-383, 2017.

Dr. Manoj Badoni

  • 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)
  • 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, “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, “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).
  • 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.
  • 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)

Dr. Pawan Kumar

  • Pawan 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 and Distribution, vol. 11, no. 10, pp 2457-2467, March 2017. (SCI: IF-3.229).
  • I. Ali, M. S. Thomas and Pawan Kumar, “Energy efficient reconfiguration for practical load combination in distribution system”, IET Generation, Transmission and Distribution, vol. 9, no.11, pp. 1051-1060. August 2015. (SCI: IF-3.229).
  • I. Ali, M. S. Thomas and Pawan Kumar, “Energy efficient reconfiguration for practical load combination in distribution system”, IET Generation, Transmission and Distribution, vol. 9, no.11, pp. 1051-1060. August 2015. (SCI: IF-3.229).
  • Pawan Kumar, Gagandeep S Brar, Surjit Singh, Srete Nikolovski, Hamid Reza Baghaee, and Zoran Balkic, “Perspectives and Intensification of Energy Efficiency in Commercial and Residential Buildings Using Strategic Auditing and Demand-Side Management”, Energies, Vol. 12, no. 23, pp. 4539, 2019 (SCI: IF-2.707).
  • > H. Ahuja and Pawan Kumar, “A novel approach for coordinated operation of variable speed wind energy conversion in smart grid applications”, Elsevier, Journal of Computer and Electrical Engineering, vol. 77, pages: 72-84, 2019. (SCI: IF-2.189).
  • S. Singh and Pawan Kumar, “MH-CACA: multi-objective harmony search-based coverage aware clustering algorithm in WSNs”, Enterprise Information Systems, Taylor & Francis, 2019 https://doi.org/10.1080/17517575.2019.1633691 (SCI: IF-2.122).
  • R. Kumar, Pawan Kumar, S. Singh and R. Vijay, “Fast and Accurate synthesis of frequency reconfigurable slot antenna using back propagation network”, International Journal of Electronics and Communication, Elsevier, Vol 112, pp. 152962, 2019 (SCI: IF-2.853).
  • Pawan Kumar, I. Ali and M. S. Thomas, “Energy efficiency analysis of reconfigured distribution system for practical loads”, Elsevier, Journal Perspectives in Science, Vol. 8, pp. 498-501, 2016. Directory of Open Access Journals (DOAJ).
  • Seema Arora and Pawan Kumar, “Infrastructural development of energy planning and energy management for smart grid implementation”, Journal of Electrical and Electronics Engineering, vol. 2, no. 1, pp. 26-31, July-Aug. 2012.

Dr. Sahaj Saxena

  • 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. Sridhar Joshi

  • S.Tolani, S.Joshi and P.Sensarma, “Dual Loop Digital Control of 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. [SCI Impact Factor 3.347].
  • S. Joshi and P. Sensarma, "Hybrid controller for mid-power audio application," in IET Power Electronics, vol. 10, no. 10, pp. 1200-1207, 8 18 2017. [SCI Impact Factor 2.839].

Dr. Rajesh Kumar

  • Rajesh Kumar and Smriti Srivastava. "Externally Recurrent Neural Network based identification of dynamic systems using Lyapunov stability analysis" in ISA Transactions, Elsevier, 2019 (SCI, Impact Factor (I.F) = 4.343)
  • Rajesh Kumar, Smriti Srivastava, and Amit Mohindru. "Lyapunov stability-Dynamic Back Propagation-based comparative study of different types of functional link neural networks for the identification of nonlinear systems." Soft Computing (2019): 1-20.
  • Rajesh Kumar, Smriti Srivastava, J. R. P. Gupta, and Amit Mohindru. "Temporally local recurrent radial basis function network for modeling and adaptive control of nonlinear systems" in ISA Transactions, Elsevier, Volume 87, April 2019, Pages 88-115 (SCI, I.F = 4.343)
  • Rajesh Kumar, Smriti Srivastava, J. R. P. Gupta, and Amit Mohindru. "Self-recurrent wavelet neural network based identification and adaptive predictive control of nonlinear dynamical systems" International Journal of Adaptive Control and Signal Processing, Wiley, Volume 32, Issue 9: 1326-1358, 2018 (SCI, I.F = 2.239)
  • Rajesh Kumar, Smriti Srivastava, J. R. P. Gupta, and Amit Mohindru. "Comparative study of neural networks for dynamic nonlinear systems identification" Soft Computing, Springer, 2018 (SCI, I.F=2.784)
  • Rajesh Kumar, Smriti Srivastava, J. R. P. Gupta, and Amit Mohindru. "Diagonal recurrent neural network based identification of nonlinear dynamical systems with Lyapunov stability based adaptive learning rates." Neurocomputing (2018): 287, 102-117, Elsevier (SCI, I.F = 4.072)
  • Rajesh Kumar, Smriti Srivastava, J. R. P. Gupta. "Comparative Study of Neural Networks for Control of Nonlinear Dynamical Systems with Lyapunov Stability-Based Adaptive Learning Rates" Arabian Journal for Science and Engineering, Springer, 43.6 (2018): 2971-2993 (SCI, I.F = 1.518)              
  • Rajesh Kumar, Smriti Srivastava, and J. R. P. Gupta. "Diagonal recurrent neural network based adaptive control of nonlinear dynamical systems using Lyapunov stability criterion." ISA Transactions, Elsevier, Volume 67, 2017, Pages 407-427 (SCI, I.F = 4.343)
  • Rajesh Kumar, Smriti Srivastava, and J. R. P. Gupta. "Lyapunov stability-based control and identification of nonlinear dynamical systems using adaptive dynamic programming" Soft Computing, Springer, 21.15 (2017): 4465-4480  (SCI,I.F = 2.784)
  • Rajesh Kumar, Smriti Srivastava, and J. R. P. Gupta. "Modeling and adaptive control of nonlinear dynamical systems using radial basis function network." Soft Computing, Springer, 21.15 (2016): 4447- 4463 (SCI, I.F = 2.784)
  • Rajesh Kumar, Smriti Srivastava, and J. R. P. Gupta. "Online modeling and adaptive control of robotic manipulators using Gaussian radial basis function networks" Neural Computing and Applications, Springer, 30.1 (2016): 223-239  (SCI, I.F = 4.664)

Dr. Sandeep Pandey

  • Sandeep Pandey, Prakash Dwivedi, Varun Dourla and Anjali Junghare,” Introduction and realization of four fractional order sliding mode controllers for non-linear open loop unstable system: A magnetic levitation study case, Nonlinear dynamics, 2019,Springer. ( [SCI Impact Factor 4.6].
  • Sandeep Pandey, Prakash Dwivedi and Anjali Junghare,” A novel 2-DOF fractional-order PI^lambda-D^mu controller with inherent anti-windup capability for a magnetic levitation system”, AEU-International Journal of Electronics and Communications, 2017 Elsevier. [SCI Impact Factor 2.85].
  • Sandeep Pandey, Prakash Dwivedi and Anjali Junghare,” Anti-windup Fractional Order{PI}^lambda- {PD}^mu Controller Design for Unstable Process: A Magnetic Levitation Study Case Under Actuator Saturation”, Arabian Journal of science and Engineering, 2017Springer. [SCI Impact Factor 1.518].
  • Prakash Dwivedi, Sandeep Pandey, and Anjali Junghare,” Stablization of unstable equilibrium point of rotary inverted pendulum using fractional controller”, Journal of Franklin Institute, 2017 Elsevier. [SCI Impact Factor 2.85].
  • Prakash Dwivedi, Sandeep Pandey, and Anjali Junghare,” Performance analysis and experimental validation of 2- DOF fractional-order controller for under actuated rotary inverted pendulum”, Arabian Journal of science and Engineering, 2017 Springer .[SCI Impact Factor 2.85].
  • Sandeep Pandey, Prakash Dwivedi and Anjali Junghare,” A Newborn Hybrid Anti-windup Scheme for Fractional Order Proportional Integral Controller”, Arabian Journal of science and Engineering, 2017 Springer .[SCI Impact Factor 1.518].
  • Prakash Dwivedi, Sandeep Pandey, and Anjali Junghare,” Robust and Novel Two Degree of Freedom Fractional Controller Based on Two-Loop Topology for Inverted Pendulum ISA transactions, 2017 Elsevier [SCI Impact Factor 2.85].

Dr. Ankit Kumar Singh

  • Ankit Kumar Singh, Manoj Badoni and Yogesh Tatte: A Multifunctional   Solar PV and Grid Based   On-Board   Converter for Electric Vehicles, IEEE Transaction on Vehicular Technology, DOI: 10.1109/TVT.2020.2971971, 2020.   [SCI Impact Factor 5.33].

  • Ankit Kumar Singh, KA Chinmaya and Manoj Badoni:  Solar PV and Grid Based Isolated Converter for Plug-in Electric Vehicles, IET Power Electronics, vol. 12, no. 14, pp. 3707 - 3715, 2019. [SCI Impact Factor 3.11].
  • Ankit Kumar Singh, M.K. Pathak:  Single-Phase Bidirectional AC/DC Converter for Plug-in Electric Vehicles With Reduced Conduction Losses,  IET Power Electronics, vol. 11, no. 1, pp. 140–148, 2018. [SCI Impact Factor 3.11].
  • Yogesh Tatte, Mohan Aware and Ankit Kumar Singh: The Performance Improvement of Direct Torque Controlled Five-Phase Induction Motor in Context of Common-Mode Voltage, Torque Ripple and Demagnetization under Low Speed Region, IET Power Electronics, DOI:  10.1049/iet-pel.2019.0855 . [SCI Impact Factor 3.11].
  • Ankit Kumar Singh, M.K. Pathak:  Single-Stage ZETA-SEPIC Based Multifunctional Integrated Converter for Plug-in Electric Vehicles,” IET Electrical System in Transportation, vol. 8, no. 2, pp. 101–111, 2018.

  • Ankit Kumar Singh, M.K. Pathak:  An Integrated Converter for Plug-in Electric Vehicles with Reduced Sensor Requirement,” IET Electrical System in Transportation vol. 9, no. 2, pp. 75–85, 2019.

  • Ankit Kumar Singh,  M.K. Pathak:  A Multifunctional Single-Stage Power Electronic Interface for Plug-in Electric Vehicles Application,  Electrical Power components and Systems, vol. 46,no. 2, pp. 135–148, 2018. . [SCI Impact Factor .899].

  • Ankit Kumar Singh, M.K. Pathak:  An Efficient Single-Stage Based Power Electronic Interface for Plug-in Electric Vehicles, IETE Technical Review, DOI: 10.1080/02564602.2019.1584055(2019).
  • . [SCI Impact Factor 1.33].

Ms. Ruchika Lamba

  • Ruchika Lamba, Sunil K. Singla, Swati Sondhi, “Fractional order PID controller for power control in perturbed pressurized heavy water reactor”, Nuclear Engineering and Design, Vol.323, pp. 84-94 doi:10.1016/j.nucengdes.2017.08.013.
  • Ruchika Lamba, Sunil K. Singla, Swati Sondhi, “Design of Fractional Order PID Controller for Load Frequency Control in Perturbed two area Interconnected System”,  Electric Power Components and Systems , Vol. 47:11-12, pp.998-1011, DOI: 10.1080/15325008.2019.1660736
  • Ruchika, Rohit Gupta, “ PSO Based Optimal Design of Fractional Order Controller    for Industrial Application”International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering Vol:9, No:6, pp.638 – 645, 2015.
  • Ruchika, Rohit, “Intelligent Induction Motor Drive”International Journal of Computer Applications, Vol.50,no.22,pp.7939-1277, July 2012. (Impact Factor 2.52).
  • Ruchika Lamba, Rohit Gupta, Subhransu Padhee “Thyristor Based Speed Control Techniques of DC Motor:A Comparative Analysis” International Journal of Scientific and Research Publications, Volume 2, Issue 6, June 2012 (impact factor 1.22)
  • Ruchika Lamba, Yogesh Tayal,  Subhransu Padhee” Automatic Face Detection Using Color Based Segmentation” International Journal of Scientific and Research Publications, Volume 2, Issue 6, pp.1-7, June 2012  (impact factor 1.22)

Dr. Navdeep Kaur

  • Navdeep Kaur and Sanjay K. Jain. “ Multi-Objective Optimization Approach for Placement of Multiple DGs for Voltage Sensitive Loads”, Energies, 10.11 (2017): 1733. [SCI Impact Factor 2.707].
  • Navdeep Kaur and Sanjay K. Jain. “Analytical Approach for Optimal Allocation of Distributed Generators to Minimize Losses” ,Journal of Electrical Engineering and Technology, 11.6 (2016): 1582-1589. [SCI Impact Factor 0.715].

Mr. Shailesh Kumar

  • Shailesh Kumar, L. Kumar, Tarikul Islam and K.K.Raina, “Condition Monitoring of Transformer Breather Using a Capacitive Moisture Sensor”, IEEE Transactions on Industrial Electronics, 2019 (Accepted), doi: 10.1109/TIE.2019.2952817.. [SCI Impact Factor 7.503].
  • Shailesh Kumar, Tarikul Islam and Kuldeep Kumar Raina, “Study of long term drift of aluminium oxide thin film capacitive moisture sensor”, IEEE Transactions on Device and Materials Reliability, 18 (2018):.180-188. [SCIE Impact factor 1.5]
  • Shailesh Kumar, Tarikul Islam and Kuldeep Kumar Raina, “Modelling of breather for transformer health assessment”, IET Science Measurement and Technology, 11 (2017), 194-203. [SCI Impact factor 1.89]

  • Shailesh Kumar, L. Kumar, T. Islam and Kuldeep Kumar Raina, “Electrical Circuit Model of an Aged Ceramic Humidity Sensor” Materials Today: Proceeding- Journal –Elsevier, 18 (2019) 822-829. (SCOPUS)

Mr. Jitender Kaushal

  • Jitender Kaushal and Prasenjit Basak, “A Decision Making Methodology to Assess Power Quality Monitoring Index of an AC Microgrid Using Fuzzy Inference Systems”, Electrical Power Components and Systems, Taylor & Francis, vol. 47, issue 14-15, pp. 1349-1361, 2019. [Impact Factor: 0.888].
  • Jitender Kaushal and 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, Springer, vol. 42, issue 4, pp. 429-450, 2018. [Impact Factor: 0.60].
  • Amandeep Kaur, Jitender Kaushal and Prasenjit Basak, A review on microgrid central controller, Renewable and Sustainable Energy Reviews – Elsevier, vol. 55, pp. 338-345, 2016. [Impact Factor: 10.556].

Dr. Anshu Mli Gaur

  • Effect of CoCl2–BaCl2 fillers on morphology, dielectric constant and conductivity of PVDF composite for pressure sensing application, Anshu Mli Gaur and Dinesh Singh Rana, Journal of Material Science: Material in Electronics, vol. 27, pp 2293–2299, 2016. (IF=2.36)
  • Dispersion relations for SH waves propagation in a porous piezoelectric (PZT–PVDF) composite structure, Anshu Mli Gaur and Dinesh Singh Rana, Acta Mechanica, vol. 226, pp 4017-4029, 2015. (IF=2.45)
  • Structural, optical and electrical properties of MgCl2 doped polyvinylidene fluoride (PVDF) composites, Anshu Mli Gaur and Dinesh Singh Rana, Journal of Material Science: Material in Electronics, vol. 26, pp:1246–1251, 2015. (IF=2.36)
  • Shear Wave Propagation in Piezoelectric-Piezoelectric Composite layered structure, Anshu Mli Gaur and Dinesh Singh Rana, Latin American Journal of Solids and Structures, vol. 11, pp 2483-2496, 2014. (IF=1.25)
  • Influence of Stress on Propagation of Shear Wave in Piezoelectric-Piezoelectric (PE-PE) Composite Layered Structure, Anshu Mli Gaur, Latin American Journal of Solids and Structures, vol. 15, 2018. (IF=1.25)  
  • In Situ Measurement of Dielectric Permittivity and Electrical Conductivity of CoCl2/BaCl2 Doped PVDF Composite at Elevated Temperature, Anshu Mli Gaur and Dinesh Singh Rana, Journal of Inorganic and Organometallic Polymers and Materials , vol. 29, pp 1637–1644, 2019. (IF=1.86)    
  • Performance prediction of PV module using electrical equivalent model and artificial neural network, M. Mittal, B. Bora, Sahaj Saxena and Anshu Mli Gaur, Solar Energy, vol. 176, pp 104-117, 2019. (IF=4.67).

Dr. Amit Kukker

  • Amit Kukker and Rajneesh Sharma, “Neural reinforcement learning classifier for elbow, finger and hand movements”, Journal of Intelligent & Fuzzy Systems, IOS Press, 2018 (SCI impact factor-1.637)
  • Amit Kukker and Rajneesh Sharma, “Genetic Algorithm‑Optimized Fuzzy Lyapunov Reinforcement Learning for Nonlinear Systems”, Arabian Journal for Science and Engineering, pp. 1-10, Sept. 2019 (SCI impact factor-1.518)
  • Amit Kukker, Rajneesh Sharma and Hasmat Malik, “An Intelligent Genetic Fuzzy Classifier for Transformer Faults” (Accepted in IETE Journal of Research)
  • Amit Kukker and Rajneesh Sharma, “EEG Based Epilepsy Seizure Analysis and Classification Methods: An Overview”, IJCSE, Vol.7, Issue.8, pp.328-346, Aug 2019)
  • Kuljot Singh, Amit Kukker, “Comparative Study of Core Material’s for Solenoid Design With Maxwell Simulator”, ISST Journal of Electrical and Electronics Engineering, Vol.7, No.2, December 2016

Dr. Soumitri Jena

  • S. Jena and B. R. Bhalja, “Development of a new fault zone identification scheme for busbar using logistic regression classifier”, in IET Generation, Transmission & Distribution, vol. 11, no. 1, pp. 174-184, January 2017.[SCI Impact Factor 3.229].
  • S. Jena and B. R. Bhalja, “Numerical Busbar Differential Protection using Generalized Alpha Plane”,   in IET Generation, Transmission & Distribution, vol. 12, no. 1, pp. 227-234, January 2018. [SCI Impact Factor 3.229].
  • S. Jena, and B. R. Bhalja, “A New Differential Protection Scheme for Busbar Using dq0 Transformation," in Electric Power Components and Systems, vol. 47, no. 4-5, pp. 382-395, May 2019. [SCI Impact Factor 0.888]
  • S. Jena, and B. R. Bhalja, “Initial travelling wavefront-based bus zone protection scheme," in IET Generation, Transmission & Distribution, vol. 13, no. 15, pp. 3216-3229, August 2019. [SCI Impact Factor 3.229].