Dr. Rajesh Kumar
Assistant Professor

Designation:

Assistant Professor

Specialization:

Control Systems & Neural Networks

Email:

rajesh.kumar23@thapar.edu

Biography

Dr. Rajesh Kumar has joined TIET Patiala in July 2019 in the Electrical & Instrumentation Department. He has a keen interest in the application of Artificial Neural Networks (ANN) in the prediction, modeling and adaptive control of nonlinear dynamical systems. His current area of research includes ANN and its structure optimization, stability, modeling, prediction & application of nature inspired algorithms.

Education

  • Ph.D from Netaji Subhas Institute of Technology, Dwarka, New Delhi (University of Delhi, New Delhi)
  • M. Tech in Electrical Engineering (Control Systems) from National Institute of Technology, Kurukshetra
  • B.Tech (Honors) in Applied Electronics & Instrumentation Engineering from MRCE, Faridabad (M.D.U Rohtak)

Experience: Total Teaching Experience 5 years plus

  • July 2013 – December 2014: Assistant Professor, EECE Department, ITM University Gurugram (now known as NCU, Gurugram)
  • December 2014 – August 2017: Teaching Cum Research Fellow, Netaji Subhas Institute of Technology, Dwarka, New Delhi.
  • August 2017 – July 2019: Assistant Professor, Instrumentation & Control Department, Bharati Vidyapeeth’s College of Engineering, New Delhi.

Teaching Interests:

  • Control Systems
  • Digital Electronics
  • Circuit Analysis
  • Artificial Neural Networks
  • Measurement and Instrumentation

Research Interest:

  • Neural Networks
  • Lyapunov stability analysis
  • Time series modeling & prediction
  • Adaptive control of nonlinear systems
  • Optimization techniques

Publications:

Journals

  1. 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)
  2. 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)
  3. 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)
  4. 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)
  5. 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)
  6. 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)
  7. 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)
  8. 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)
  9. 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) 
  10. 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) 

International Conferences

  1. Rajesh Kumar, Smriti Srivastava, and J. R. P. Gupta, "Artificial Neural Network Based PID Controller For Online Control of Dynamical Systems" published in IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES), doi: 10.1109/ICPEICES.2016.7853092 held at DTU, New Delhi, 4th-6th July 2016 (Scopus)
  2. Rajesh Kumar, Smriti Srivastava, and J. R. P. Gupta, "Modeling and control of one-link robotic manipulator using neural network based PID controller" published in IEEE International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2016, doi: 10.1109/ICACCI.2016.7732054 held at LNMIIT, Jaipur, 21-24 Sept 2016(Scopus)
  3. Rajesh Kumar, Smriti Srivastava, and J. R. P. Gupta, "Time Series Prediction Using Focused Time Lagged Radial Basis Function Network" published in IEEE International Conference on Information Technology (InCITe) - The Next Generation IT Summit on the Theme - Internet of Things: Connect your Worlds-2016, doi: 10.1109/INCITE.2016.7857602 held at Amity University, Noida, 6-7 Oct. 2016(Scopus)

Book Chapters

  1. Rajesh Kumar, Smriti Srivastava, and J. R. P. Gupta,. "A Soft Computing Approach for Modeling of Non Linear Dynamical Systems" In proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications page: 407-415, Springer, Springer Singapore, 2017. DOI: 10.1007/978-981-10-3153-340(Scopus)
  2. Rajesh Kumar, Smriti Srivastava, and J. R. P. Gupta,. "Soft Computing Technique Based Online Identification and Control of Dynamical Systems" The International Symposium on Intelligent Systems Technologies and Applications ISTA 2016: Intelligent Systems Technologies and Applications 2016 page: 487- 496, Springer 2016 DOI: 10.1007/978-3-319-47952-138(Scopus)

Achievement, Awards and Recognitions

  • GATE qualified with All India Rank (AIR) of 246 in 2011
  • Awarded outstanding reviewer certificate by the ISA Transactions, Elsevier
  • Qualified All India test of Bhabha Atomic Research Centre (BARC), 2013

Professional Affiliations

  • Reviewer of IEEE Transactions on Neural Networks and Learning Systems
  • Reviewer of IEEE access
  • Reviewer of ISA Transactions-Elsevier
  • Reviewer of Neurocomputing-Elsevier
  • Reviewer of International Journal of Adaptive Control and Signal Processing-Wiley
  • Reviewer of Knowledge based systems- Elsevier
  • Reviewer of Asian Journal of Control-Wiley
  • Reviewer of Nonlinear Dynamics-Springer
  • Reviewer of Applied Intelligence-Springer
  • Reviewer of International Journal of Control, Automation and Systems-Springer
  • Reviewer of Arabian Journal for Science and Engineering-Springer
  • Reviewer of Mathematical and Computer Modelling of Dynamical Systems-Taylor and Francis
  • Reviewer of Journal of Experimental Theoretical Artificial Intelligence-Taylor and Francis
  • Reviewer of International Journal of Modelling, Identification, and Control-Inderscience
  • Reviewer of International Journal of Artificial Intelligence and Soft Computing-Inderscience
  • Reviewer of Complexity Journal - Hindwai

Message to Students & Community

Every expert was once a beginner!