Specialization

COMPUTATIONAL INTELLIGENCE

Email

alok.shukla@thapar.edu

Biography

Dr. ALOK KUMAR SHUKLA is currently working as Assistant Professor in Thapar Institute of Engineering & Technology (TIET), Patiala. He has obtained his B. Tech from UPTU, M.E from IET-DAVV Indore, and Ph.D. degrees from NIT Raipur in 2010, 2014 and 2019 respectively. His current area of research interests includes NLP, Artificial Intelligence and computational intelligence.

Education

1. Ph.D. in COMPUTATIONAL INTELLIGENCE- COMPUTER SCIENCE from NIT RAIPUR  in 2019
2. M. Tech in INFORMATION SECURITY from  IET DAVV  in 2014
3. B.E. in COMPUTER SCIENCE & ENGINEERING from UPTU in 2010

Experience:

1. From APRIL 2022 – PRESENT: ASSISTANT PROFESSOR, EIED, TIET.
2. From JULY 2020 - MARCH 2022: ASSISTANT PROFESSOR, COMPUTER SCIENCE & ENGINEERING,  VELLORE INSTITUTE OF TECHNOLOGY-AP.
3. From OCTOBER 2019 – JUNE 2020: ASSOCIATE PROFESSOR, COMPUTER SCIENCE & ENGINEERING, GLBITM.

Teaching Interests:

1. COMPUTER NETWORK
2. DATA STRUCTURE
3. DESIGN ANALYSIS AND ALGORITHM

Research Interest:

1. NLP
2. BLOCKCHAIN

Publications:

Journals

• Alok Kumar Shukla, Pradeep Singh, and Manu Vardhan, “A New Hybrid Wrapper TLBO and SA with SVM Approach for Gene Expression Data", Information Science, Elsevier 503, pp.238-254, 2019, SCI , Impact Factor: 8.233,
• Alok Kumar Shukla, “Multi-population adaptive genetic algorithm for selection of microarray biomarkers", Neural Computing and Applications, Springer 2020, SCIE, Impact Factor : 5.102 
• Alok Kumar Shukla, Pradeep Singh, and Manu Vardhan, “An adaptive inertia weight teaching- learning-based optimization algorithm and its applications", Applied Mathematical Modelling, Elsevier 77, pp. 309-326, 2019, SCIE, Impact Factor : 5.336
• Alok Kumar Shukla, Pradeep Singh, and Manu Vardhan, “Gene selection for cancer types classification using novel hybrid metaheuristics approach", Swarm and Evolutionary Computation, Elsevier 2020, SCIE, Impact Factor : 10.267
• Alok Kumar Shukla and Diwakar Tripathi, “Identification of potential biomarkers on microarray data using distributed gene selection approach", Mathematical Biosciences, Elsevier 315, pp. 108230, 2019, SCIE, Impact Factor : 3.935,
• Alok Kumar Shukla, Pradeep Singh, and Manu Vardhan, “Hybrid framework for optimal feature subset selection", Journal of Intelligent & Fuzzy Systems, IOS press 36(3), pp. 2247-2259, 2019, SCIE, Impact Factor : 1.737,
• Alok Kumar Shukla, “Identification of Cancerous Gene Groups from Microarray Data by Employ- ing Adaptive Genetic and Support Vector Machine Technique", Computational Intelligence , Wiley 2019, SCIE, Impact Factor : 2.142
• Alok Kumar Shukla, Pradeep Singh, and Manu Vardhan, “A Two-Stage Gene Selection Method for Biomarker Discovery from Microarray Data for Cancer Classification", Chemometrics and Intelligent Laboratory Systems, Elsevier, 183, pp. 47-58, 2018, SCIE, Impact Factor : 4.175
• Alok Kumar Shukla, Pradeep Singh, and Manu Vardhan, “Neighbour teaching learning based optimization for global optimization problems", Journal of Intelligent & Fuzzy Systems, IOS press, 34, pp. 1583-1594, 2018, SCIE, Impact Factor : 1.737,
• Alok Kumar Shukla, Pradeep Singh, and Manu Vardhan, “A hybrid gene selection method for microarray recognition", Biocybernetics and Biomedical Engineering, Elsevier, 38, pp. 975-991, 2018, SCIE, Impact Factor : 5.687.
• Alok Kumar Shukla, “An Efficient Hybrid Evolutionary Approach for Identification of Zero-Day Attacks on Wired/Wireless Network System", Wireless Personal Communications , Springer 2019, SCIE, Impact Factor : 2.017,
• Alok Kumar Shukla and Diwakar Tripathi, “Detecting biomarkers from microarray data using distributed correlation based gene selection", Genes & Genomics, Springer 2019, SCIE, Impact Factor: 2.164,
• Alok Kumar Shukla, Sanjeev Kumar Pippal, Srishti Gupta, B Ramachandra Reddy, and Diwakar Tripathi, “Knowledge discovery in medical and biological datasets by integration of Relief-F and correlation feature selection techniques", Journal of Intelligent & Fuzzy Systems, IOS press 2020, SCIE, Impact Factor : 1.737,
• Diwakar Tripathi, B. Ramachandra Reddy, Y c a Padmanabha Reddy, Alok Kumar Shukla, Ravi Kant Kumar, and Neeraj Sharma “BAT Algorithm Based Feature Selection: Application in Credit Scoring", Journal of Intelligent & Fuzzy Systems 2021, IOS press, SCIE, Impact Factor : 1.737,
• Alok Kumar Shukla, “Feature selection inspired by human Intelligence for improving classification accuracy of cancer types", Computational Intelligence , Wiley 2020, SCIE, Impact Factor : 2.142,
• Alok Kumar Shukla, “Detection of Anomaly Intrusion Utilizing Self-Adaptive Grasshopper Optimization Algorithm", Neural Computing and Applications, Springer 2020, SCIE, Impact Factor : 5.102,
• Diwakar Tripathi, B. Ramachandra Reddy, Alok Kumar Shukla, Ghanshyam S. Bopche, Chandramo- han Dhasarathan “Credit Scoring Models using Ensemble Learning and Classification Approaches: A Comprehensive Survey", Wireless Personal Communications , Springer 2021, SCIE, Impact Factor : 2.017,
• Diwakar Tripathi, B. Ramachandra Reddy, Alok Kumar Shukla, “CFR: collaborative feature ranking for improving the performance of credit scoring data classification", Computing , Springer 2021, SCIE, Impact Factor : 2.420,
• Alok Kumar Shukla, Shubhra Dwivedi, “Discovery of Botnet Activities in Internet-of-Things System Using Dynamic Evolutionary Mechanism", New Generation Computing, Springer 2022, SCI, Impact Factor : 1.180,
• Alok Kumar Shukla, “Chaos teaching learning based algorithm for large-scale global optimization problem and its application", Concurrency and Computation: Practice and Experience , Wiley 2022, SCIE, Impact Factor : 1.831,
• Alok Kumar Shukla, Sanjeev Kumar Pippal, and Sansar Singh Chauhan, “An Empirical Evaluation of Teaching-learning-based Optimization, Genetic Algorithm and Particle Swarm Optimization, International Journal of Computers and Applications, Taylor & Francis 2019, SCOPUS,
• Alok Kumar Shukla and Pradeep Singh, “Building an Effective Approach toward Intrusion Detection Using Ensemble Feature Selection", International Journal of Information Security and Privacy, IGI Global, 13(3), pp. 975-991, 2019, ESCI and SCOPUS,
• Alok Kumar Shukla, Pradeep Singh and Manu Vardhan, “A New Hybrid Feature Subset Selection Framework-based on Binary Genetic Algorithm and Information Theory", International Journal of Computational Intelligence and Applications, World Scientific, 18(03), pp. 1950020, 2019, ESCI and SCOPUS,
• Shubhra Dwivedi, Manu Vardhan, Sarsij Tripathi, and Alok Kumar Shukla, “Implementation of adaptive scheme in evolutionary technique for anomaly-based intrusion detection", Evolutionary Intelligence, Springer, pp. 1-15, 2019, ESCI and SCOPUS,
• Alok Kumar Shukla, Diwakar Tripathi, B. Ramachandra Reddy, and D. Chandramohan, “ A Study on Metaheuristics Approaches for Gene Selection in Microarray Data: Algorithms, Applications and Open Challenges", Evolutionary Intelligence, Springer, pp. 1-21, 2019, ESCI and SCOPUS,
• Alok Kumar Shukla, Sanjeev Pippal, Deepak Singh, and Somula ramasubbareddy “An evolutionary- based technique to characterize anomaly in Internet of Things networks", International Journal of Inter- net Technology and Secured Transactions 2021, Inderscience, SCOPUS,
• Diwakar Tripathi, Damodar Reddy Edla, Annushree Bablani, Alok Kumar Shukla, B. Ramachandra Reddy “Experimental Analysis of Machine Learning Methods for Credit Score Classification", Progress in Artificial Intelligence 2021, Springer, ESCI/SCOPUS,

International Conferences:

• Alok Kumar Shukla, Pradeep Singh, and Manu Vardhan, “DNA Gene Expression Analysis on Diffuse Large B-Cell Lymphoma Based on Filter Selection Method with Supervised Classification Method". In Computational Intelligence in Data Mining, Springer, pp.783-792, 2019.
• Alok Kumar Shukla, Pradeep Singh, and Manu Vardhan, “Medical Diagnosis of Parkinson Disease Driven by Multiple Preprocessing Technique with Scarce Lee Silverman Voice Treatment Data". In Engineering Vibration, Communication and Information Processing, Springer, pp.407-421, 2019.
• Pradeep Singh, Alok Kumar Shukla, and Manu Vardhan, “Novel Filter approach for efficient selection and Small round blue-cell tumor cancer detection using microarray gene expression data". In Inventive Computing and Informatics (ICICI), International Conference on , IEEE, pp. 832-837, 2018.
• Alok Kumar Shukla, Pradeep Singh, and Manu Vardhan, “An Empirical Study on Multi-Objective Swarm Algorithm for Standard Multi-Objective Benchmark Problems". Proceedings of 3rd Inter- national Conference on Internet of Things and Connected Technologies (ICIoTCT) , Malaviya National Institute of Technology, Jaipur, pp. 26-27, 2018.
• Alok Kumar Shukla, Pradeep Singh, and Manu Vardhan, “Predicting Alcohol Consumption Behaviours of the Secondary Level Students". Proceedings of 3rd International Conference on Internet of Things and Connected Technologies (ICIoTCT) , Malaviya National Institute of Technology, Jaipur, 2018.
• Pradeep Singh, Alok Kumar Shukla, and Manu Vardhan, “Hybrid approach for gene selection and classification using filter and genetic algorithm". In: Inventive Computing and Informatics (ICICI), International Conference on, IEEE, pp. 832-837, 2017.

Message to Students & Community

Never lose hope, until and unless you are not getting success.