Journal Publications

  1. A. Vijayvargiya, B. Singh, R. Kumar, J. M. R. S. Tavares, “Human Lower Limb Activity Recognition Techniques, Databases, Challenges and its Applications using sEMG Signal: An Overview”, Biomedical Engineering Letters, Springer (Online).
  2. V. K. Saini, S. Vyas, Sujil A., R. Kumar, “A Secure Energy Transaction Platform for Prosumers in a Smart Community”, IEEE Smart Grid New Letter, June 2022.
  3. A. Mehta, J Jangid, A. Saxena, S. Shekhawat, R. Kumar, “Harmonics Estimator Design with Trigonometric function inspired Grey Wolf Optimizer”, International Journal of Intelligent Engineering Informatics, Inderscience (Online).
  4. N. Rajawat, B. Singh, S. Lalwani, R. Kumar, “Diabetes Melitus Prediction: An Efficient Pipeline of Data Imputation and Oversampling”, International Journal of Modeling, Simulation, and Scientific Computing (Online).
  5. V. K. Saini, A. Seervi,  R. Kumar,  Sujil A,  M. A. Mahmud, A. Alsumaiti, “Cloud Energy Storage Based Embedded Battery Technology Architecture for Residential Users Cost Minimization, IEEE Access (Online).
  6. N. Rajawat, B. Singh, M. Meghawat, S. Lalwani, R. Kumar, “C-COVIDNet: A Simple CNN model for COVID-19 Detection using Image Processing”, Arabian Journal for Science and Engineering, Springer, 2022 (Online).
  7. N. Deshmukh, R. Vaze, R. Kumar, A. Saxena, “Quantum Entanglement inspired Grey Wolf optimization algorithm and its application”, Evolutionary Intelligence, Springer, 2022 (Online).
  8. A. Sharma, A. Saxena, R. Kumar, A. S. Al-Sumaiti, S. Dinker,” Process Optimization of Biodiesel Production using Laplacian Harris Hawks Optimization (LHHO) Algorithm”, Modelling and Simulation in Engineering, Hindawi, Vol 2022, 2022, 1-13.
  9. G. Sahni, B. Mewara, S. Lalwani, R. Kumar, “CF-PPI: Centroid Based New Feature Extraction Approach for Protein-protein Interaction”, Journal of Experimental & Theoretical Artificial Intelligence, T&F, 2022 (Online).
  10. B. Mewara, G. Sahni, S. Lalwani, R. Kumar, “CAA-PPI: A Computational Feature Design to Predict Protein-Protein Interaction using different Encoding Strategies”, Soft Computing, Springer, 2022 (Online).
  11. B. Singh, A. Vijayvargiya, R. Kumar, “Kinematic Modeling for Biped Robot Gait Trajectory Using Machine Learning Techniques”, Journal of Bionic Engineering, Springer, 2022 (Online).
  12. A. Mathur, V. P. Singh, R. Kumar, “A new load flow and short-circuit analysis for unbalanced modern distribution system”, International Transactions on Electrical Energy Systems, Wiley, 2021 (Online).
  13. A. Vijayvargiya, Khimraj, R. Kumar, N. Dey, “Voting-based 1D CNN model for lower limb activity recognition using sEMG signal”, Physical and Engineering Sciences in Medicine, Springer, 2021 (On Line).
  14. V. K. Saini, S. Vays, Sujil A.,  R. Kumar, “Blockchain Technology for Decentralized Energy Transaction in a Smart Grid”, IEEE Smart Grid New Letter, November 2021.
  15. A. Vijayvargiya, B.  Dhanka, V. Gupta, R. Kumar, “Implementation of Machine Learning Algorithms for Automated Gait Activity Recognition using sEMG Signal”, International Journal of Biomedical Engineering and Technology, Inderscience, 2021 (On Line).
  16. J. Jangid, A. Saxena, V. Gupta, R. Kumar, “Transmission Expansion Planning using Composite Teaching Learning Based Optimization Algorithm”, Evolutionary Intelligence, Springer, 2021 (On Line).
  17. A. Vijayvargiya, V. Gupta, R. Kumar, N. Dey, J. M. R. S. Tavares, “A Hybrid WD-EEMD sEMG Feature Extraction Technique for Lower Limb Activity Recognition”, IEEE Sensors Journal, 2021 (On Line).
  18. Sujil A, R. Kumar, R. C. Bansal, “An Intelligent Multi Agent based Approach for Autonomous Energy Management in a Microgrid”, Electric Power Components and Systems, Taylor & Francis, 2021 (On Line).
  19. J. L. Angarita, H. Jafari, M. Mohseni, A. S. Al-Sumaiti, E. H. Forushani, R. Kumar, “Optimal Investment and Operation of a Microgrid to provide Electricity and Heat”, IET Renewable Power Generation, Wiley, 2021 (On Line).
  20. B. Singh, R. Kumar, V. P. Singh, “Reinforcement Learning in Robotic Applications: A Comprehensive Survey”, Artificial Intelligence Review, Springer (On Line)
  21. V. K. Saini, A. Seervi, V. Gupta, R. Kumar, “Benefits of Centralize Energy Storage for Residential Users in Smart Grid”, IEEE Smart Grid New Letter, April 2021.
  22. R. Vaze, N. Deshmukh, R. Kumar, A. Saxena, “Development and Application of Quantum Entanglement Inspired Particle Swarm Optimization”, Knowledge Base System, Elsevier, Vol. 219, 2021, 106859
  23. A. Vijayvargiya, C. Prakash, R. Kumar, S. Bansal, J. M. R. S. Tavares, “Human knee abnormality detection from imbalanced sEMG data”, Biomedical Signal Processing and Control, Elsevier, Vol. 66, 2021, 102406
  24. S. Reddy, V. Gupta, L. Panwar, R. Kumar, B. K. Panigrahi, “Optimal Schedule of Electric Vehicle Reserve in Traditional and Restructured Electricity Markets”, International Journal of Bio-Inspired Computation, Inderscience (On Line)
  25. O. J. Shukla, G. Soni, R. Kumar, “SimEvents based discrete-event simulation modeling for dynamic job-shop manufacturing system”, Int. J. of Advanced Operations Management, Inderscience (On Line)
  26. A. Mehta, J. Jangid, A. Saxena, S. Shekhawat, R. Kumar, “Transmission Network Expansion Planning using Crow Search Algorithm” Annals of Optimization Theory and Practice, 2021(On Line)
  27. R. Singhal, R. Kumar, S. Neeli, “Multi-objective Tuning of Non-linear Model for Degrading Greenhouse”, Progress in Artificial Intelligence, Springer, Vol. 10, 2021, 37–48
  28. R. Singhal, R. Kumar, S. Neeli, “Receding Horizon Control based on Prioritised Multi-Operational Ranges for Greenhouse Environment Regulation”, Computers and Electronics in Agriculture, Elsevier (On line)
  29. V. Gupta, R. Kumar, A. Saxena, B. K. Panighari, “Brief Understanding of Inertia in the Smart Grid, Its Challenges and Solutions”, IEEE Smart Grid New Letter, November 2020.
  30. S. Lalwani, R. Kumar, “An efficient three-level parallel ABC algorithm for secondary structure prediction of complex RNA sequences”, Applied Soft Computing, Elsevier (On Line)
  31. V. Gupta, S. Reddy, R. Kumar, B. K. Panigrahi, “Electric Vehicle (EV) Driver Response Evaluation in Multi Aggregator Charging Management with EV Routing”, IEEE Transactions on Industry Applications, Vol. 56, No. 6, 2020, 6914-6924
  32. V. Gupta, R. Kumar, B. K. Panigrahi, “User Willingness based Decentralized EV Charging Management in Multi-Aggregator Scheduling”, IEEE Transactions on Industry Applications, Vol. 56, No. 5, 2020, 5704-5915.
  33. A. Alsumaiti, S. Konda, L. Panwar, V. Gupta, R. Kumar, B. K. Panigrahi, “Aggregated Demand Response Scheduling in Competitive Market Considering Load Behaviour using Fuzzy Intelligence”, IEEE Transactions on Industry Applications (On Line)
  34. V. Gupta, S. Reddy, R. Kumar, B. K. Panigrahi, “Collaborative Multi-Aggregator Electric Vehicle Charge Scheduling with PV Assisted Charging Stations Under Variable Solar Profiles”, IET Smart Grid, Vol. 3, No. 3, 2020, 287-299.
  35. S. Lalwani, G. Sahni, B. Mewara, R. Kumar, “Predicting optimal lockdown period with parametric approach using three-phase maturation SIRD model for COVID-19 pandemic”, Chaos, Solitons & Fractals, Elsevier, Vol. 138, 2020
  36. A. Saxena, S. Shekhawat, A. Sharma, H. Sharma, R. Kumar, “Chaotic Step Length Artificial Bee Colony algorithms for Protein Structure Prediction”, Journal of Interdisciplinary Mathematics, Taylor and Francis, Vol. 23, No. 2, 2020, 617–629.N.
  37. A. Saxena, R. Kumar, A. Mirjalili “A harmonic estimator design with evolutionary operators equipped Grey Wolf Optimizer”, Expert Systems With Applications, Elsevier, Vol. 145, 2020, 113-125.
  38. R. Singhal, R. Kumar, S. Neeli, “Residual based Fault Detection Isolation and Recovery of Greenhouse”, International Journal of Automation and Control, Inderscience (On Line)
  39. Patnana, S. Pattanaik, V. P. Singh, R. Kumar, “Self-Learning Salp Swarm Optimization Based Controller Design for Photovoltaic Reverse Osmosis Plant”, International Journal of Modelling, Identification and Control, Inderscience (On Line)
  40. P. Jain, A. Saxena, R. Kumar, “Application and Development of Improved Meta-Heuristic for making Profitable Bidding Strategy in a Day-Ahead Energy Market under Step-Wise Bidding Scenario”, International Journal of Swarm Intelligence,  Inderscience (On Line).
  41. S. Konda, L. Panwar, B. K. Panigrahi, R. Kumar, Yan Xu, “A Dual Objective Approach for Aggregator Managed Demand Side Management (DSM) in Smart Distribution System”, Future Generation Computer Systems, Elsevier, Vol. 105, 2020, 843-854.
  42. S. Reddy, L. Panwar, B. K. Panigrahi, R. Kumar, L. Goel, A. Alsumaiti “A Profit Based Self Scheduling Framework for GenCo Energy and Ancillary Service Participation in Multi-Constrained Environment with Renewable Energy Penetration”, Energy & Environment, SAGE, Vol. 31, No. 4, 2020, 549-569.
  43. O. J. Shukla, G. Soni, R. Kumar and R.S. Ahluwalia, “A Review of Multi Agent-based Production Scheduling in Manufacturing System”, Recent Patents on Engineering, Vol. 14, No. 1, 2020.
  44. S. JhaJharia, S. Verma, R. Kumar, “A Comparative Study for Improved Hospital based Cancer Registry for Early Stage Prediction of Breast Cancer with Highest Accuracy”, International Journal of Medical Engineering and Informatics, Inderscience, Vol. 12, No. 5, 2020, 515-528.
  45. S. JhaJharia, S. Verma, R. Kumar, “Nature of Life and Survivability of Women and Men with Breast Cancer”, International Journal of Advanced Intelligence Paradigms, Inderscience, Vol. 17, No. 1/2, 2020, 127-138.
  46. S. JhaJharia, S. Verma, R. Kumar, “An Amalgamated Prediction Model for Breast Cancer Detection using Fuzzy Features”, International Journal of Medical Engineering and Informatics, Inderscience, Vol. 12 No. 4, 2020, 345 – 356.
  47. V. Gupta, R. Kumar, B. K. Panighari, “Electric Vehicle Charging Management-Battery Charging vs Swapping in Densely Populated Environments”, IEEE Smart Grid New Letter, October 2019.
  48. A. Shukla, K. Verma, R. Kumar, “Multi-Objective Synergistic Planning of EV Fast Charging Stations in Distribution System Coupled with Transportation Network”, IET Generation, Transmission & Distribution, Vol. 13, No. 15, 2019, 3421-3432.
  49. S. Reddy, L. Panwar, B. K. Panigrahi, R. Kumar, A. S.  AlSumaiti, “Impact of Load Profile on Dynamic Interactions Between Energy Markets: A Case Study of Power Exchange and Demand Response Exchange”, IEEE Transactions on Industrial Informatics, Vol. 15, no. 11, 2019, 5855-5866.
  50. S. Lalwani, H. Sharma, A. Verma, R. Kumar, “An efficient discrete firefly algorithm for Ctrie based caching of multiple sequence alignment on optimally scheduled parallel machines”, CAAI Transactions on Intelligence Technology, Vol. 4, No. 2, 2019, 92-100.
  51. A. Mukherjee, N. Dey, R. Kumar, B. K. Panighari, J. M. R.S. Tavares, A. Hassanien, “Delay Tolerant Network assisted flying Ad-Hoc network scenario: Modeling and analytical perspective”, Wireless Networks, Springer, Vol. 25, 2019, 2675–2695.
  52. A. Saxena, R. Kumar, S. Das, “Beta Chaotic Map Enabled Grey Wolf Optimizer”, Applied Soft Computing, Elsevier, Vol. 75, 2019, 84-105.
  53. A. Mathew, S. Sreekumar, S. Khandelwal, R. Kumar, “Prediction of Land Surface Temperatures for Surface Urban Heat Island Assessment Over Chandigarh City Using Support Vector Regression Model”, Solar Energy, Elsevier, Vol. 186, 2019, 404-415.
  54. O. J. Shukla, A. Joshi, G. Soni, R. Kumar, “Analysis of critical drivers affecting implementation of agent technology in a manufacturing system”, International Journal of Industrial Engineering, Springer, Vol. 15, No. 2, 2019, pp 303–313.
  55. Sujil A, R. Kumar, R. C. Bansal, “Multi Agent based Autonomous Energy Management System with Self-Healing Capabilities for a Microgrid”, IEEE Transactions on Industrial Informatics, Vol. 15, No. 12, 2018, 6280 – 6290.
  56. A. Sharma, R. Kumar, B. K. Panigrahi, A. Saxena, “Structured Clanning based Ensemble Optimization Algorithm: A Novel Approach for Solving Complex Numerical Problems”, Modelling and Simulation in Engineering, Vol. 2018, 2018, 1-19.
  57. V. Sangwan, R.  Kumar, A. Rathore, “High Fidelity Equivalent Circuit Model Parameter Extraction for Characterization and Simulation of Li-ion Cells in Battery Electric Vehicles”, Electrical Power Components and Systems, T&F , Vol. 46, No. 14, 2018, 1672-1685.
  58. S. Reddy, L. Panwar, B. K. Panigrahi, R. Kumar, A. Alsumaiti, “Binary Grey Wolf Optimizer (BGWO) Models for Profit Based Unit Commitment (PBUC) of Price Taking GENCO in Electricity Market”, Swarm and Evolutionary, Elsevier, Vol. 44, 2019, 957-971.
  59. V. Gupta, S. Konda, R. Kumar, B. K. Panigrahi, “Electric Vehicle Charge Scheduling (EVCS) with PV assistance for variable energy purchased in a multi aggregator environment”, IET, The Journal of Engineering, Vol. 2019, No. 18, 2019, 4836 – 4840.
  60. V. Sangwan, R.  Kumar, A. Rathore, “State-of-charge estimation of Li-ion battery at different temperatures using particle filter”, IET, The Journal of Engineering, Vol. 2019, No. 18, 2019, 5320 – 5324.
  61. A. Shukla, K. Verma, R. Kumar, “Impact of EV Fast Charging Station on Distribution System Embedded With Wind Generation”, IET, The Journal of Engineering, Vol. 2019, No. 18, 2019, 4692 – 4697.
  62. Nidhi, S. Konda, R. Kumar, B. K. Panigrahi, “Feasibility Analysis of Heterogeneous Energy Storage Technology for Cloud Energy Storage with distributed generation”, IET, The Journal of Engineering, Vol. 2019, No. 18, 2019, 4970 – 4974.
  63. P. Jangir, V. Sangwan, R. Kumar, A. Rathore, “A Droop Control Method in Power Converter System for Balancing State-Of-Charge of Energy Storage Units in Electric Vehicle”, IET, The Journal of Engineering, Vol. 2019, No. 18, 2019, 4764 – 4769.
  64. M. Kumar, A. Shukla, K. Verma, R. Kumar, “Supplementary Frequency Control in Power Systems via Decentralized V2G Support”, IET, The Journal of Engineering, Vol. 2019, No. 18, 2019, 5287 – 5291.
  65. Sujil A, R. Kumar, R. C. Bansal, “FCM Clustering Based Adaptive Neuro Fuzzy Inference System based PV and Wind Generation Forecasting Agent for Energy Management in a Smart Microgrid”, IET, The Journal of Engineering, Vol. 2019, No. 18, 2019, 4852 – 4857.
  66. S. Reddy K, L. Panwar, B. K. Panigrahi, R. Kumar, “Binary whale optimization algorithm: a new metaheuristic approach for profit-based unit commitment problems in competitive electricity markets”, Engineering Optimization, Taylor and Francis, Vol. 51, No. 3, 2019, 369-389.
  67. O. J. Shukla, V. Jangid, G. Soni, R. Kumar, “Grey Based Decision Making for Evaluating Sustainable Performance of Indian Marble Industries”, International Journal of System Dynamics Applications, Vol. 8, No. 2, 2018, 1-18.
  68. L. L. Pullum, A. Jindal, M. Roopaei, A. Diggewadi, M. Andoni, A. Zobaa, A. B. Ahmed, y. Ngo, S. Vyas, R. Kumar, V. Rohu, D. Flynn, P. Caputo, A. R. Parashis, “Big Data Analytics in the Smart Grid”, IEEE Smart Grid (White Paper)
  69. S. Reddy, B. Mukkapati, L. Panwar, B. K. Panigrahi, R.  Kumar, “Dynamic Energy Balancing Cost Model for Day Ahead Markets with Uncertain Wind Energy and Generation Contingency under Demand Response”, IEEE Transactions on Industry Applications, Vol. 54, No. 5, 2018, 4908 – 4916.
  70. V. Sangwan, A. Sharma, R.  Kumar, A. Rathore, “Model based Optimal Parameter Identification Incorporating c-rate, SOC and Temperature Effect for Advance Battery Management System in Electric Vehicles”, IET Electrical Systems in Transportation, Vol. 8, No. 4, 2018, 240 – 250.
  71. A. Saxena, B. P. Soni, R. Kumar, V. Gupta, “Intelligent Grey Wolf Optimizer – Development and Application for Strategic Bidding in Uniform Price Spot Energy Market”, Applied Soft Computing, Elsevier, Vol. 69, 2018, 1-13.
  72. C. Prakash, R. Kumar, N. Mittal, “Optimized Clustering Techniques for Gait Profiling in Children with Cerebral Palsy for Rehabilitation”, The Computer Journal, Vol. 61, No. 11, 2018, 1683–1694.
  73. A. Shukla, K. Verma, R. Kumar, “Voltage Dependent Modelling of Fast Charging Electric Vehicle Load Considering Battery Characteristics”, IET, Electrical Systems in Transportation, Vol. 8, No. 4, 2018, 221 – 230.
  74. S. Reddy, L. Panwar, B. K. Panigrahi, R. Kumar, “Low Carbon Unit Commitment (LCUC) with Post Carbon Capture and Storage (CCS) Technology considering Resource Sensitivity”, Journal of Cleaner Production, Elsevier, Vol. 200, 2018,161-173.
  75. S. Pal, R. Kumar, “Electric Vehicle Scheduling Strategy in Residential Demand Response Programs with Neighbor Connection”, IEEE Transactions on Industrial Informatics, Vol. 14, No. 3, 2018, 980-988.
  76. S. Konda, L. Panwar, B. K. Panigrahi, R. Kumar, “Optimal Offering of Demand Response Aggregation Company in Price Based Energy and Reserve Market Participation”, IEEE Transactions on Industrial Informatics, Vol. 14, No. 2, 2018, 578-587.
  77. S. Vyas, R. Kumar, “A Computational Geometry based Methodology for Identification of Potential Islanding Initiators in High Solar PV Penetration Distribution Feeders”, IET, Renewable Power Generation, Vol. 12, No. 4, 2018, 456-462.
  78. V. Gupta, R. Kumar, S. Konda, B. K. Panigrahi, “Multi-Aggregator Collaborative Electric Vehicle Charge Scheduling (CEVCS) Under Variable Energy Purchase and EV Cancellation Events”, IEEE Transactions on Industrial Informatics, Vol. 14, No. 7, 2018, 2894-2902.
  79. S. Konda, L. Panwar, B. K. Panigrahi, R. Kumar, “Investigating the Impact of Load Profile Attributes on Demand Response Exchange”, IEEE Transactions on Industrial Informatics, Vol. 14, No. 4, 2018, 1382-1391.
  80. S. Konda, L. Panwar, B. K. Panigrahi, R. Kumar, “Computational Intelligence for Demand Response Exchange Considering Temporal Characteristics of Load Profile via Adaptive Fuzzy Inference System”, IEEE Transactions on Emerging Topics in Computational Intelligence, Vol. 2, No. 3, 2018, 235-245.
  81. S. Konda, L. Panwar, B. K. Panigrahi, R. Kumar, “Modelling and Analysis of Profit Based Self Scheduling of GENCO in Electricity Markets with Renewable Energy Penetration and Emission Constraints”, Renewable Energy, Elsevier, Vol. 116, Part A, 2018, 48-63.
  82. S. Reddy, L. Panwar, R. Kumar, B. K. Panigrahi, “A New Binary Variant of Sine Cosine Algorithm: Development and Application to Solve Profit Based Unit Commitment Problem”, Arabian Journal for Science and Engineering, Springer, Vol. 43, 2018, 4041–4056.
  83. S. Reddy, L. Panwar, B. K. Panigrahi, R. Kumar, “Solution to Unit Commitment in Power System Operation Planning Using Modified Moth Flame Optimization Algorithm (MMFOA): A Flame Selection Based Computational Technique”, Journal of Computational science, Elsevier, Vol. 25, 2018, 298-317.
  84. S. Reddy, L. Panwar, B. K. Panigrahi, R. Kumar, “Modelling and Analysis of Resource Scheduling in Restructured Power Systems Considering Wind Energy Uncertainty”, International Journal of Sustainable Energy, T&F, Vol. 37, 2018, 736-760.
  85. A. Saxena, S. Shekhawat, R. Kumar, “Application and Development of Enhanced Chaotic Grasshopper Optimization Algorithms”, Modelling and Simulation in Engineering, Vol. 2018, 2018, 1-14.
  86. Sujil A, J. Verma, R. Kumar, “Multi Agent System: Concepts, Platforms and Applications in Power Systems”, Artificial Intelligence Review, Springer, Vol. 49, 2018, 153–182.
  87. C. Prakash, R. Kumar, N. Mittal, “Recent Developments in Human Gait Research: Parameters, Approaches, Applications, Machine Learning Techniques, Datasets and Challenges”, Artificial Intelligence Review, Springer, Vol. 49, 2018, 1-40.
  88. L. Panwar, S. Konda, A. Verma, B. K. Panigrahi, R. Kumar, “Binary Grey Wolf Optimizer for Large Scale Unit Commitment problem”, Swarm and Evolutionary, Elsevier, Vol. 38, 2018, 251–266.
  89. S. Pal, S. Thakur, R. Kumar, B. K. Panigrahi, “Game Theoretic Based Day ahead Load Scheduling for Residential Consumers in a Fair Environment”, Electrical Power and Energy Systems, Elsevier, Vol. 97, 2018, 201–210.
  90. O. J. Shukla, G. Soni, R. Kumar, Sujil A, “An agent based architecture for production scheduling in dynamic job-shop manufacturing system”, at-Automatisierungstechnik, Vol. 66, No. 6, 2018, 492-502.
  91. C. Prakash, R. Kumar, N. Mittal, G. Raj, “Vision based Identification of Joint Coordinates for Marker-less Gait Analysis”, Procedia Computer Science, Vol: 132, 2018, 68-75.
  92. S. Konda, L. Panwar, B. K. Panigrahi, R. Kumar, Y U Hao, “Demand Side Management with Consumer Clusters in Cyber-Physical Smart Distribution System Considering Price Based and Reward Based Scheduling Programs”, IET Cyber-Physical Systems: Theory & Applications. Vol: 13, No: 2, 2017, 36-40.
  93. S. Lalwani, R. Kumar, K. Deep, “Multi-objective two-level swarm intelligence approach for multiple RNA sequence-structure alignment”, Swarm and Evolutionary Computation, Elsevier, Vol. 34 , 2017, 130-144.
  94. S. Jhajharia, S. Verma, R. Kumar, “Quality of Life in Breast Cancer Survivors in India: Factors and Importance”, International Journal of Cancer Research, Vol: 13, No: 2, 2017, 36-40.
  95. L. Panwar, S. Konda, A. Verma, B.K. Panigrahi, R. Kumar, “Demand Response Aggregator (DRA) Coordinated Two-Stage Responsive Load Scheduling in Distribution System Considering Customer Behavior”, IET Generation, Transmission & Distribution, Vol. 11, No. 4, 2017, 1023 – 1032.
  96. L. Panwar, S. Reddy, A. Verma, B.K. Panigrahi, R. Kumar, “An Operation Window Constrained Strategic Energy Management (OWCSEM) of Micro Grid with Electric Vehicle and Distributed Resources”, IET Generation, Transmission & Distribution, Vol. 11, No. 3, 2017, 615 – 626.
  97. S. Reddy, L. Panwar, B. K. Panigrahi, R. Kumar, “A Multiple Emission Constrained Approach for Self-scheduling of GENCO Under Renewable Energy Penetration”, IEEE CSEE Journal of Power and Energy Systems, Vol. 3, No. 1, 2017, 63-73.
  98. S. Reddy, L. Panwar, R. Kumar, B. K. Panigrahi, “Modelling of Carbon Capture Technology Attributes for Unit Commitment in Emission Constrained Environment”, IEEE Trans on Power System, Vol: 32, No: 1, 2017, 662 – 671.
  99. A. Sharma, R. Kumar, B. K. Panighari, S. Das, “Termite Spatial Correlation based Particle Swarm Optimization for Unconstrained Optimization”, Swarm and Evolutionary Computation, Elsevier, Vol: 33, 2017, 93-107.
  100. S. Vyas, R. Kumar, R. Kavasseri, “Data Analytics and Computational Methods for Anti-islanding of Renewable Energy Based Distributed Generators in Power Grids” Renewable and Sustainable Energy Reviews, Elsevier, Vol: 69, 2017, 493–502.
  101. S. Reddy, S. Goutham, L. Panwar, B K Panigrahi, R Kumar, “A Dynamic Penalty Cost Allocation Based Uncertain Wind Energy Scheduling in Smart Grid”, International Journal of Renewable Energy Research, Vol: 7, No: 1, 2017, 344, 352.
  102. Sreenu S, J. Verma, Sujil A, R. Kumar, “Comparative Analysis of Intelligently Tuned Support Vector Regression Models for Short Term Load Forecasting in Smart Grid Framework”, Technol Econ Smart Grids Sustain Energy, Springer, Vol: 2, No: 1, 2017, 1-9.
  103. V. Kalkhambkar, R. Kumar, R. Bhakar, B. P. Singh, “Optimal Allocation of Renewable Energy Sources for Energy Loss Minimization”, Journal of Electrical Systems, Vol: 113, No: 1, 2017, 115-130.
  104. V. Kalkhambkar, R. Kumar, R. Bhakar, “Joint Optimal Allocation Methodology for Renewable Distributed Generation and Energy Storage for Economic Benefits”, IET Renewable Energy Generation, Vol. 10, No. 9, 2016, 1422 – 1429.
  105. A. Mathew, S. Sreekumar, S. Khandelwal, N. Kaul, R. Kumar, “Prediction of Surface Temperatures for the Assessment of Urban Heat Island Effect over Ahmedabad City Using Linear Time Series Model”, Energy and Buildings, Elsevier, Vol. 128, 2016, 605-616.
  106. S. Lalwani, R. Kumar, N. Gupta, “Two-level Particle Swarm Optimization for Multiple Sequence Alignment”, Computing and Informatics, Vol. 35, 2016, 1001-1023.
  107. A. Mathew, S. Sreekumar, S. Khandelwal, N. Kaul, R. Kumar, “Prediction of Urban Heat Island Effect Using Linear Time Series Model: A Case Study of Jaipur City”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol: 9, Issue: 8, 2016, 3546 – 3552.
  108. A. Sharma, A. Sharma, B K Panigrahi, D. Kiran, R. Kumar, “Ageist Spider Monkey Optimization Algorithm” Swarm and Evolutionary Computation, Elsevier, Vol: 28, 2016, 58-77.
  109. S. Reddy, L. Panwar, R. Kumar, B. K. Panigrahi, “Binary Coded Fireworks Algorithm for Profit Based Unit Commitment (PBUC) Problem”, Electrical Power and Energy Systems, Elsevier, Vol: 83, 2016, 270-282.
  110. S. Lalwani, R. Kumar, N. Gupta, “An efficient two-level swarm intelligence approach for RNA secondary structure prediction with bi-objective minimum free energy scores”, Swarm and Evolutionary Computation, Elsevier, Vol: 27, 2016, 68-79.
  111. S. Vyas, R. Kumar, R. Kavasseri, “Multivariate Statistics and Supervised Learning for Predictive Detection of Unintentional Islanding in Grid-Tied Solar PV Systems”, Applied Computational Intelligence and Soft Computing, Hindawi, Vol: 2016, 2016, 1-10.
  112. L. Panwar, S. Reddy, R. Kumar, B. K. Panighari, “Distributed Resource Scheduling in Smart Grid with Electric Vehicle Deployment using Fireworks Algorithm”, Journal of Modern Power Systems and Clean Energy, Springer, Vol: 4, No: 2, 2016, 188-199.
  113. Sreenu S, Sujil A, J. Verma, R. Kumar, “An approach towards Short Term Load Forecasting using Similar Day Grey index models for Smart Grid Framework”, WSEAS Trans on Power System, Vol: 11, 2016, 147-155.
  114. Sujil A, S. K. Agarwal, R. Kumar, “Feasibility of Centralized Multi-agent Self-healing Power System with Superconducting Fault Current Limiter”, Technology and Economics of Smart Grids and Sustainable Energy, Springer, Vol: 1, No: 1, 2016, 1-12.
  115. L. Panwar, S. Reddy, R. Kumar, B.K. Panigrahi, S. Vyas, “Strategic Energy Management (SEM) in a Micro Grid with Modern Grid Interactive Electric Vehicle”, Energy Conversion and Management (ECM), Elsevier, Vol: 106, 2015, 41–52.
  116. R. K. Dohare, K. Singh, R. Kumar, S. Upadhyaya, “Simulation-Based Artificial Neural Network Predictive Control of BTX Dividing Wall Column”, Arabian Journal for Science and Engineering, Springer, Vol: 40, No. 12, 2015, 3393-3407.
  117. S. K. Agarwal, S. Shah, R. Kumar, “Classification of mental tasks from EEG data using backtracking search Optimization based neural classifier”, Neurocomputing, Elsevier, Vol: 166, 2015, 397-403.
  118. S. Reddy, L. Panwar, R. Kumar, B, K. Panighari, “Profit Based Conventional Resource Scheduling (PBCRS) with Renewable Energy Penetration”, International Journal of Sustainable Energy T&F, 2015, 1-17.
  119. S. Reddy, L. Panwar, R. Kumar, “Fireworks Algorithm Based Thermal Unit Commitment”, International Journal of Swarm Intelligence Research (IJSIR), Vol: 6, No. 2, 2015, 87-101.
  120. S. Lalwani, R. Kumar, N. Gupta, “A novel two-level particle swarm optimization approach for efficient multiple sequence alignment”, Memetic Computing, Springer, Vol: 7, No. 2, 2015, 119-133.
  121. S. K. Agarwal, S. Shah, R. Kumar, “Group based swarm evolution algorithm (GSEA) driven Mental task classifier”, Memetic Computing, Springer, Vol: 7, No. 1, 2015, 19-27.
  122. R. A. Gupta, Rajesh Kumar, Ajay Kumar Bansal, “BBO-based small autonomous hybrid power system optimization incorporating wind speed and solar radiation forecasting”, Renewable and Sustainable Energy Reviews, Elsevier, Vol: 41, 2015, 1366-1375.
  123. S. Lalwani, R. Kumar, N. Gupta, “A novel two-level particle swarm optimization approach to train the transformational grammar based hidden Markov models for performing structural alignment of pseudoknotted RNA”, Swarm and Evolutionary Computation, Elsevier, Vol: 20, 2015, 58–73.
  124. R. K. Dohare, K. Singh, R. Kumar, “Modeling and model predictive control of dividing wall column for separation of Benzene–Toluene-o-Xylene”, Systems Science & Control Engineering, T&F, Vol: 3, 2015, 142–153.
  125. C. Prakash, K. Gupta, A. Mittal, R. Kumar, V. Laxmi, “Passive Marker based Optical System for Gait Kinematics for lower extremity”, Procedia Computer Science, Elsevier, Vol: 45, 2015, 176-185.
  126. Rajesh Kumar, “Directed Bee Colony Optimization Algorithm”, Swarm and Evolutionary Computation, Elsevier, Vol: 17, 2014, 60–73.
  127. P. Yadav,  R. Kumar,  S. K. Panda, C. S. Chang, “Optimal Thrust Allocation for Semi-submersible Oil Rig Platforms using Improved Harmony Search Algorithm”, IEEE Trans on Ocean Engineering, Vol: 39, No. 3, 2014, 526-539.
  128. D. C. Hoang, P. Yadav, R. Kumar, S. K. Panda, “Real-time Development of Energy Efficient Clustering Protocol for Wireless Sensor Networks using Harmony Search Algorithm”, IEEE Transaction on Industrial Informatics, Vol: 10, No. 1, 2014, 774-783.
  129. Abhra Roy Chowdhury, Vinoth Kumar, Bhuneshwar Prasad, Rajesh Kumar, S. K. Panda, “Kinematic study and implementation of a bio-inspired robotic fish underwater vehicle in a Lighthill mathematical framework”, Robotics and Biomimetics, Vol: 1, 2014, 1-15.
  130. Abhra Roy Chowdhury, Vinoth Kumar, Bhuneshwar Prasad, Rajesh Kumar, S. K. Panda, “Model-Based Control of a BCF Mode Carangiform Bio inspired Robotic Fish”, Marine Technology Society Journal, Vol: 48, No.4, 2014, 36-50.
  131. Gaurav Bhansali, B. P. Singh, R. Kumar, “Strategic optimisation of microgrid by evolving a unitised regenerative fuel cell system operational criterion”, International Journal of Sustainable Energy T&F, 2014, 1-14.
  132. Sujil A, S. K. Agarwal, R. Kumar, “Centralized Multi-Agent implementation for securing critical loads in PV Based micro grid”, Journal of Modern Power Systems and Clean Energy, Springer, Vol: 2, No. 1, 2014, 77-86.
  133. S. Lalwani, R. Kumar, N. Gupta, “Sequence-Structure Alignment Techniques for RNA: A Comprehensive Survey”, Advances in Life Sciences, Vol: 4, No. 1, 2014, 21-35.
  134. Sujil A, R. Kumar, “Feasible positioning of Super Conducting Fault Current Limiters for Wind Farm intermittency and Fault current Reduction in a Smart Power System”, WSEAS Trans on Power System, Vol: 9, 2014, 16-23.
  135. N. Kunwar, Yash K., R. Kumar, “Area-load based pricing in DSM through ANN and Heuristic Scheduling”, IEEE Transaction on Smart Grid, Vol: 4, No. 3, 2013, 1275-1281.
  136. D. C. Hoang, R. Kumar, S. K. Panda, “Realization of a Cluster-based Protocol using Fuzzy C-Means Algorithm for Wireless Sensor Networks”, IET Wireless Sensor Systems, Vo: 3, Issue: 3, 2013, 163-171.
  137. A. K. Bansal, R. Kumar, R. A. Gupta, “Economic Analysis and Power Management of a Small Autonomous Hybrid Power System (SAHPS) using Biogeography Based Optimization (BBO) Algorithm”, IEEE Transaction on Smart Grid, Vol: 4, No. 1, 2013, 638-648.
  138. Anil W. Pawde, Y. P. Mathur and R. Kumar, “Optimal Water Scheduling In Irrigation Canal Network Using Particle Swarm Optimization”, Irrigation and Drainage, Wiley, Vol: 62, Issue: 2, 2013, 135–144.
  139. S. Lalwani, S. Singhal, R. Kumar, N. Gupta, “A Comprehensive Survey: Multi-Objective Particle Swarm Optimization (MOPSO) algorithm: Variants and Applications”, Transactions on Combinatorics, Vol: 2, No: 1, 2013, 39-101.
  140. S. Lalwani, R. Kumar, N. Gupta, “A Review on Particle Swarm Optimization variants and their applications to Multiple Sequence Alignment”, Journal of Applied Mathematics & Bioinformatics, Vol: 3, No: 2, 2013, 87-124.
  141. R. Kumar, R. A. Gupta, A. K. Bansal, “Economic Analysis and Power Management of a Stand-Alone Wind/Photovoltaic Hybrid Energy System using Biogeography Based Optimization algorithm”, Swarm and Evolutionary Computation, Elsevier, Vol : 8, 2013, 33–43.
  142. R. A. Gupta, Rajesh Kumar, Virendra Sangtani , Ajay Kr. Bansal, “Harmonics Analysis of Three Phase Matrix Converter fed Induction Motor Drive in Open Loop Mode”, International Journal of Electronics and Communication Technology (IJECT), Vol :4, Issue: 4, 2013, 52-56.
  143. Parikshit Yadav, Rajesh Kumar, S. K. Panda, C. S. Chang, “Energy-Efficient Thrust allocation for Semi- submersible Oil Rig     Platforms using Improved Harmony Search Algorithm”, IEEE Transaction on Industrial Informatics, Vol: 8, No. 4, 2012, 913-924.
  144. D. Chinh Hoang, R. Kumar, S. Kumar Panda, “Optimal Data Aggregation Tree in Wireless Sensor Networks based on Intelligent Water Drops Algorithm”, IET Wireless Sensor Systems, Vol:2, Issue:3, 2012, 282-292.
  145. Parikshit Yadav, Rajesh Kumar, S. K. Panda, C. S. Chang, “An Intelligent Tuned Harmony Search Algorithm for Optimisation”, Information Sciences, Elsevier, Vol: 196,2012, 47-72.
  146. Rajesh Kumar, Abhinav Sadu, Rudesh Kumar, S K Panda, “A Novel Multiobjective Directed Bee Colony Optimization Algorithm for Multiobjective Emission Constrained Economic Power Dispatch”, Electrical Power and Energy Systems, Elsevier, Vol: 43, No:1, 2012, 1241-1250
  147. Manoj Gupta, Rajesh Kumar, R. A. Gupta, “A Study on Neural Network Transfer and Training Functions for Recognition of Power Quality Disturbances”, International Journal of Artificial Intelligence and Neural Networks, Vol: 2, Issue:2, 2012, 30-35.
  148. S. Lalwani, R. Kumar, E. Spedicato, N. Gupta, “ An Avenue of ABS algorithm to Multiple Sequence Alignment’, Irarian Journal of Operations Research, Vol: 3, No:1, 2012, 31-45.
  149. S. Rana, S. Jasola, R. Kumar, “A boundary restricted adaptive particle swarm optimization for data clustering”, International Journal of Machine Learning and Cybernetics, 2012, (On line).
  150. R. M. Farouk, “Iris Matching Based on a Stack Like Structure Graph Approach”, Walailak Journal of Science and Technology, Vol: 9, No: 3, 2012, 461-474.
  151. Dhiraj, S. Verma, R. Kumar, H. Choudhary, “ An Enhanced Algorithm for Floor-plan Design Using Evolutionary Technique’, Artificial Intelligence Research, Vol: 1, No:2, 2012, 38-46.
  152. S. Bhuyan, K. Sivanand, S. K. Panda, R. Kumar, J. Hu, “Resonance-Based Wireless Energizing of Piezoelectric Components”, IEEE Magnetics Letters, Vol: 2, 2011.
  153. S. Bhuyan, R. Kumar, S. K. Panda, J. Hu, “Piezoelectric components wirelessly driven by dipole antenna-like electric field generator”, Materials Science and Engineering B, Elsevier, Vol: 176, Issue 14,2011,1085-1092 .
  154. R. M. Farouk, R. Kumar, K. A. Riad, “Iris matching using multi-dimensional artificial neural network”, IET Computer Vision, Vol: 5, Issue 3, 2011, 178–184.
  155. Parikshit Yadav, Rajesh Kumar, S. K. Panda, C. S. Chang, “An Improved Harmony Search Algorithm for Optimal Scheduling of the Diesel Generators in Oil Rig Platforms”, Energy Conversion and Management, Elsevier, 52, 2011, 893–902.
  156. Rajesh Kumar, Devendra Sharma, Abhinav Sadu, “A Hybrid Multi-Agent based Particle Swarm Optimization Algorithm for Economic Power Dispatch”, Electrical Power and Energy Systems, Elsevier, Vol: 33, 2011, 115–123.
  157. R. A. Gupta, Rajesh Kumar, Ajay Kumar Bansal, “Selection of Input Variables for the Prediction of Wind Speed in Wind farms based on Genetic Algorithm”, Wind Engineering, Vol: 35, No. 6, 2011, 649-660.
  158. Himanshu Gothwal, Silky Kedawat, Rajesh Kumar, “Cardiac Arrhythmias Detection In An ECG Beat Signal Using Fast Fourier Transforms and Artificial Neural Network”, Journal of Biomedical Science and Engineering, Vol: 4, No.4, 2011, 287-294.
  159. Manoj Gupta, Rajesh Kumar, R. A. Gupta, “Recognition of Power Quality Disturbances with its Indexing Using Neural Networks”, TELKOMNIKA: Indonesian Journal of Electrical Engineering (IJEE), Vol: 9, No.2, 2011, 227 – 236.
  160. Manoj Gupta, Rajesh Kumar, R. A. Gupta, “A Neural Network Based System for Recognition of Power Quality Disturbances”, CiiT International Journal of Artificial Intelligent Systems and Machine Learning, Vol: 3, No.6, 2011, 338-343.
  161. R.A. Gupta, Rajesh Kumar, S.V. Bhangale, “18-Sector Switching Strategy for Torque Ripple Reduction of Direct Torque Controlled Induction Motor Drive”, International Journal of Power Electronics, Vol: 3, No. 1, 2011, 26-41. (Best Paper Award)
  162. Sandeep Rana, Sanjay Jasola, Rajesh Kumar, “A Review on Particle Swarm Optimization Algorithms and Their Applications to Data Clustering”, Artificial Intelligence Review, Springer, Vol: 35, No.3, 2011, 211-222.
  163. Dhiraj Sangwan, Seema Verma, Rajesh Kumar, “An optimized approach for Module Placement in VLSI circuits using Genetic Algorithm”, International Journal of Computational Intelligence and Information Security, Vol: 2, No. 1, 2011, 4-17.
  164. Dhiraj Sangwan, Seema Verma, Rajesh Kumar, “A Genetic Algorithm based Two Phase Fault Simulator for Sequential Circuit”, International Journal of Computer Applications, Vol: 12, No. 10, 2011, 17-24.
  165. R. A. Gupta, Rajesh Kumar, Manoj Gupta, “Continuous Wavelet Transform Applied to Generate Patterns of Phenomena Associated to Power Quality”, International Journal of Computer Applications, No. 4, 2011, 38-44.
  166. Sandeep Rana, Sanjay Jasola, Rajesh Kumar, “A sequential approach for data clustering using K-Means and Particle Swarm Optimization Algorithm”, International Journal of Engineering, Science and Technology, Vol: 2, No. 6, 2010, 167–176.
  167. S. Gupta, Rajesh Kumar, S. K. Panda, “A Genetic Algorithm Based Sequential Hybrid Filter for Image Smoothing”, International Journal of Signal and Image Processing, Vol: 1, No. 4, 2010, 242-248.
  168. Rajesh Kumar, Anupam Kumar, “Design of Two-Dimensional Infinite Impulse Response Recursive Filters Using Hybrid Multiagent Particle Swarm Optimization”, Applied Artificial Intelligence, Vol: 24, No. 4, April 2010, 295–312.
  169. Y.P. Mathur, Rajesh Kumar, A. W. Pawde, “A binary particle swarm optimization for generating optimal schedule of distributary canals”, The IES Journal Part A: Civil & Structural Engineering, Vol: 3, No. 2, May 2010, 1–8.
  170. Rajesh Kumar, B R Deva Vikram, “Fingerprint Matching using Multi-dimensional ANN”, Engineering Applications of Artificial Intelligence, Vol.23, 2010, pp. 222-228.
  171. R. A. Gupta, Rajesh Kumar, Ajay Kr. Bansal, “Artificial Intelligence applications in Permanent Magnet Brushless DC Motor Drives”, Artificial Intelligence Review, Vol: 33, No. 3, 2010, pp. 175-186.
  172. Dhiraj Sangwan, Rajesh Kumar, Mukesh Kumar, “A hierarchically defined fault pattern generator using genetic algorithm”, International Journal of Adaptive and Innovative Systems, Vol: 1, No. 2, 2010, pp. 139 – 157.
  173. Rajesh Kumar, R.A. Gupta, Rajesh S. Surjuse, “High-Performance SVPWM-VCIM Drive with Adaptive Neuro-Fuzzy Speed Controller”, International Journal of Computer and Electrical Engineering, Vol: 2, No. 1, 2010, pp. 180-187.
  174. R.A. Gupta, Rajesh Kumar, S.K. Bishnoi, “Sensorless Control of Switched Reluctance Motor Drive with Fuzzy Logic Based Rotor Position Estimation”, International Journal of Computer Applications, Vol: 1, No.22, 2010, pp. 72-79.
  175. Sunil Kumar Gupta, H. P. Tiwari, Rajesh Kumar, “Analysis of Total Harmonics Distortion in DVR Compensated System”, Journal of Electrical Engineering, Vol: 10, No. 1, 2010, pp. 27-33.
  176. Y.P. Mathur, Rajesh Kumar, A. W. Pawde, “Irrigation Canal Scheduling Using Particle Swarm Optimization”, IETECH Journal of Civil and Structures, Vol: 2, No. 2, 2009, 036 – 041.
  177. Rajesh Kumar, R.A. Gupta, Rajesh S. Surjuse, “Adaptive Neuro-Fuzzy Speed Controller for Vector Controlled Induction Motor Drive”, Asian Journal of power Electronics, Vol.3, No.1, 2009, pp. 8-14.
  178. Rajesh Kumar, R. A. Gupta, Ajay Kr. Bansal, “Identification and Control of PMSM using ANN”, Journal of Electrical Engineering, Institution of Engineers, IE (I), Vol: Sept-90,2009, pp.1-6.
  179. Lata Gidwani, H. P. Tiwari, Rajesh Kumar, “Wind Energy Integration in Electrical Power Grid: Simulation of Transient Fault Behavior and Analysis”, Journal of Electrical Engineering, Vol: 9, No. 3, 2009, pp. 77-84.
  180. R. A. Gupta, Rajesh Kumar, S. V. Bhangale, “A Control Strategy for Reducing the Torque Ripple with Optimal Stator Flux Direct Torque Controlled Induction Motor Drive”, Journal of Electrical Engineering, Vol: 9, No: 2, 2009, pp. 1-10.
  181. R.A. Gupta, Rajesh Kumar, S.K. Bishnoi, “Nonlinear Modeling and Control of Switched Reluctance Motor Drive”, Journal of Electrical Engineering, Vol: 9, No: 2, 2009, pp. 44-50.
  182. Rajesh Kumar and B R Deva Vikram, “A Novel Method of Fingerprint Classification Using Image Parameters on ANFIS”, International Journal of Computer Theory and Engineering, Vol. 1, No.4, 2009, pp. 370-375.
  183. Rajesh Kumar, Anupam Kumar and Devendra Sharma, “A New Hybrid Multiagent- Based Particle Swarm Optimization Technique”, International Journal of Bio-Inspired Computation, Vol. 1, No. IV, 2009, pp. 259-269.
  184. Rajesh Kumar, Devendra Sharma and Anupam Kumar, “Economic Power Dispatch with Valve Point Effects Using Bee Optimization Algorithm”, Journal of Electrical Engineering & Technology, Vol. 4, No.1, 2009, pp. 19-27.
  185. Dhiraj Sangwan, Rajesh Kumar, Mukesh Kumar, “A Genetic Approach to detect Bridging faults, Transitional Delay faults and Stuck at faults in LSI Circuits”, International Journal of Electronics Engineering, 1(2), 2009, pp. 197-201 .
  186. Rajesh Kumar, R.A. Gupta, S.V. Bhangale, “Vector Control Techniques for Induction Motor Drive: A Review”, International Journal of Automation and Control, Vol. 3, No. 4, 2009, pp.284-306.
  187. Dhiraj Sangwan, Rajesh Kumar, Mukesh Kumar, “A Genetic Implementation of Stuck-at-fault & Delay fault Identification in Digital Circuits”, International Journal of Electronics Engineering, 1(1), 2009, pp. 119-121.
  188. Rajesh Kumar, Anupam Kumar and Devendra Sharma, “A Novel Approach for Economic Power Dispatch Using Bee Optimization Algorithm”, Journal of Electrical Engineering, Vol: 8, No: 4, 2008, pp. 51-58.
  189. Rajesh Kumar and Anupam Kumar, “Black Pearl: An Alternative for Mouse and Keyboard”, International Journal on Graphics, Vision and Image, ICGST-GVIP, Vol. (8), Issue (III), October 2008, pp. 1-6.
  190. Rajesh Kumar, R.A. Gupta, S.V. Bhangale, Himanshu Gothwal “ANN Based Control and Estimation of Direct Torque Controlled Induction Motor Drive”, Asian Journal of Power Electronics, Vol.2, No.3, 2008, pp. 115-122.
  191. Rajesh Kumar, R.A. Gupta, Rajesh S. Surjuse, “A Vector Controlled Induction Motor Drive with Neural Network Based Space Vector Pulse Width Modulator”, Journal of Theoretical and Applied Information Technology, Vol: 4, No: 7, 2008, pp. 577-584.
  192. Rajesh Kumar, R.A. Gupta, S.V. Bhangale, “Microprocessor/Digital Control and Artificial Intelligent Vector Control Techniques for Induction Motor Drive: A Review”, IETECH Journal of Electrical Analysis, Vol: 2, No: 2, 2008, pp. 045-051.
  193. Rajesh Kumar, R.A. Gupta, S.V. Bhangale, Himanshu Gothwal, “Artificial Neural Network Based Direct Torque Control of Induction Motor Drives”, IETECH Journal of Electrical Analysis, Vol: 2, No: 3, 2008, pp. 159-165.
  194. Rajesh Kumar, R.A. Gupta, S.V. Bhangale, “Indirect Vector Controlled Induction Motor Drive with Fuzzy Logic Based Intelligent Controller”, IETECH Journal of Electrical Analysis, Vol: 2, No: 4, 2008, pp. 211-216.
  195. Rajesh Kumar, R. A. Gupta, Ajay Kr. Bansal, “Novel Topologies For Identification And Control Of PMSM Using Artificial Neural Network”, IETECH Journal of Electrical Analysis, Vol: 2, No: 4, 2008, pp. 217-223.
  196. Rajesh Kumar, R.A. Gupta, S.K. Bishnoi, “Converter Topologies for Switched Reluctance Motor Drives”, International Journal of International Review of Electrical Engineering, Vol: 3, No: 2, March- April 2008, pp. 289-299.
  197. Rajesh Kumar, Himanshu Gothwal, Dwipayan Das, “A Modified Artificial Neural Network Based Approach to Add New Data in a Cluster”, Journal of Information, Intelligence and Knowledge, Vol. 1, Issue 2, 2008, pp. 227-236.
  198. Rajesh Kumar, Anupam Kumar and Devendra Sharma, “On line PID controller tuning through Bio-mimicry of Bacteria Foraging”, Journal of Information, Intelligence and Knowledge, Vol. 1, Issue 2, 2008, pp. 213-226.
  199. R.A. Gupta, Rajesh Kumar, Bharat Bhushan Jain, “Performance Analysis of 18-Pulse AC-DC Converters fed Vector Controlled Induction Motor Drive (VCIMD)”, Journal of Theoretical and Applied Information Technology, Vol: 4, No: 9, 2008, pp. 861-873.
  200. S.V. Bhangale, Rajesh Kumar, R.A. Gupta, “Indirect Vector Controlled Induction Motor Drive with Gain Tuned Fuzzy Logic Based Intelligent Controller”, International Journal of Engineering Research and Industrial Applications, Vol: 1, No: VI, 2008, pp. 275-288.
  201. Rajesh Kumar, R.A. Gupta, Rajesh S. Surjuse, “ANN Based Over-Modulated Space Vector Pulse Width Modulator for VCIM Drives”, Journal of Electrical Engineering, Vol: 8, No: 3, 2008, pp. 104-111.
  202. Rajesh Kumar, Rakesh Sharma J, “Design and Analysis of Type-2 Fuzzy PI Controller”, Journal of Information, Intelligence and Knowledge, Vol. 1, Issue 3, 2008, pp. 253-268.
  203. Rajesh S. Surjuse, Rajesh Kumar, R.A. Gupta, “Speed Sensorless Estimation Schemes for Induction Motor Drive: A Survey”, International Journal of Engineering Research and Industrial Applications, Vol: 1, No: VI, 2008, pp.173-193.
  204. S.V. Bhangale, Rajesh Kumar, R.A. Gupta, “A State of Art on Direct Torque Control Schemes and Applications to Induction Motor Drive”, International Journal of Industrial Electronics and Control, Vol: 1, No: 2, 2008, pp. 77–96.
  205. Lata Gidwani, Rajesh Kumar, “A Review of Fault Detection and Diagnosis in Power Systems: Artificial Intelligence based Methods”, International Journal of Engineering Research and Industrial Applications, Vol: 1, No: VI, 2008, 37-55.