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Brief-Bio
Brief-Bio
Mailing Address:
Dr. Rajesh Kumar, Assistant Professor (Gr-I), Department of Electrical Engineering, National Institute of Technology Kurukshetra, Kurukshetra, Haryana, Pin Code: 136119
E-mail ID:
rajeshmahindru23@gmail.com, rajeshmahindru23@nitkkr.ac.in
Nationality: Indian
Category: General
Office: E-215, Department of Electrical Engineering, National Institute of Technology Kurukshetra
Dr. Rajesh Kumar is an Assistant Professor (Grade I) in the Department of Electrical Engineering at the National Institute of Technology, Kurukshetra, India.
His research interests include control theory, system identification, nonlinear dynamical systems, adaptive and intelligent control, neural networks, fuzzy systems, signal processing, optimisation, and artificial intelligence in engineering applications. He has published over 60 papers in reputed SCI/SCIE-indexed journals, book chapters, and conference proceedings, including IEEE Transactions and leading Elsevier journals.
Dr. Kumar has a strong editorial presence in the academic community. He serves as Associate Editor, Academic Editor, and Editorial Board Member for numerous reputed journals, including Scientific Reports (Nature), Applied Intelligence (Springer), Complex Intelligent Systems (Springer), Ain Shams Engineering Journal (Elsevier), Circuits, Systems, and Signal Processing (Springer), Measurement and Control (SAGE), and International Journal of Advanced Robotic Systems (SAGE), among others. Since 2022, he has handled over 850 manuscripts across these roles.
He is a senior member of IEEE, a fellow of IETE, a member of IE (India), and a life member of ISTE.
He has an H-index of 25 and an i10-index of 31, and he was listed among the top 2% of scientists globally (Elsevier/Stanford University, 2025 & 2026).
Awards & Achievements
Awards & Achievements
Received a commendable Research Award from Delhi Technological University, New Delhi, in 2022.
Received a commendable Research Award from Delhi Technological University, New Delhi, in 2021.
Received the best paper award at the International Conference on Intelligent Systems and Smart Infrastructure (ICISSI-2022) by CRC Press, Taylor & Francis Group.
Recognized as a “highly valued Associate Editor” for the “Results in Control & Optimization” Elsevier Journal from August 2022 to date.
GATE qualified (2011) with an AIR of 246.
Qualified for the All India test of the Bhabha Atomic Research Centre (BARC), 2013.
Education
Education
PhD from Netaji Subhas Institute of Technology, University of Delhi, in soft computing for the identification, forecasting, and control of nonlinear dynamical systems in 2019.
M.Tech. in Electrical Engineering (Control Systems) from the National Institute of Technology, Kurukshetra, India, in 2013.
B.Tech. in Applied Electronics & Instrumentation Engineering from Manav Rachna College of Engineering, Faridabad (M.D.U. Rohtak) in 2011.
Academic Experience
Academic Experience
Currently working as an Assistant Professor (Grade I) in the Electrical Engineering department at the National Institute of Technology, Kurukshetra, India (from 23rd November 2022 to date).
Worked as an Assistant Professor in the Electrical Engineering department at Delhi Technological University, New Delhi, India (from 23rd June 2020 to 22nd November 2022).
Worked as an Assistant Professor in the Electrical and Instrumentation department at Thapar Institute of Engineering and Technology (Deemed to be University), Patiala, India (from 26th July 2019 to 22nd June 2020).
Worked as an Assistant Professor (EECE) at I.T.M University, Gurgaon (Now called as NCU, Gurgaon) from 15th July 2013 to 14th December 2014
Research Profile
Research Profile
Web Of Science: W-3960-2019
ScholarGPS®: 62921693897806
Research Interests
Research Interests
Artificial Neural Networks & their applications in modelling & control.
Fuzzy logic and systems and their applications.
ANN structure optimization and parameter tuning based on Lyapunov stability.
Nature-inspired optimization methods.
Academic Interests
Academic Interests
Electric Circuit Theory
Control Systems
Analog & Digital Circuits
Intelligent Modelling & Control
Virtual Instrumentation
Signal Processing
Artificial Neural Networks and Fuzzy Systems
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