Address: Room No. FW1-TF9, Department of Electrical Engineering, Delhi Technological University, Bawana Road, Shahbad Daulatpur, Delhi-110042, India.

Research Identifiers:

1. Google Scholar Profile: https://scholar.google.com/citations?user=CB-HAHQAAAAJ&hl=en&oi=sra

2. ResearchGate Profile: https://www.researchgate.net/profile/Rajesh-Kumar-294

3. Web of Science ResearcherID: W-3960-2019

4. Scopus Author ID: 57192420640

A. List of International SCI/SCIE journals/Transactions publications:

1. Rajesh Kumar "Memory Recurrent Elman Neural Network-Based Identification of Time-Delayed Nonlinear Dynamical System" IEEE Transactions on Systems, Man, and Cybernetics: Systems (2022), DOI: 10.1109/TSMC.2022.3186610, (I.F) = 11.471

2. Rajesh Kumar "A Lyapunov-stability-based context-layered recurrent pi-sigma neural network for the identification of nonlinear systems." Applied Soft Computing, Elsevier (2022): 108836, Impact Factor (I.F) = 8.263

3. Rajesh Kumar, and Smriti Srivastava. "A novel dynamic recurrent functional link neural network-based identification of nonlinear systems using Lyapunov stability analysis." Neural Computing and Applications- Springer Vol: 33, Pages: 7875–7892 (2021), Impact Factor (I.F) = 5.102 

4. Rajesh Kumar, and Smriti Srivastava. "Externally Recurrent Neural Network-based identification of dynamic systems using Lyapunov stability analysis." ISA Transactions, Elsevier, 98 (2020): 292-308, Impact Factor (I.F) = 5.911

5. 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, I.F =  5.911

6. 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, I.F = 3.369

7. Rajesh Kumar, Smriti Srivastava, J. R. P. Gupta, and Amit Mohindru. "Comparative study of neural networks for dynamic nonlinear systems identification." Soft Computing, Springer, 23, (2019): 101-114, (I.F) = 3.732   

8. 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, Elsevier, 287 (2018), 102-117, I.F = 5.779

9. 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, I.F = 2.807

10. 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, I.F = 5.911

11. 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, (I.F) = 3.732

12. 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, (I.F) = 3.732

13. 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, I.F = 5.102 

14. Rajesh Kumar, Smriti Srivastava, J. R. P. Gupta, 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, Springer, 24, pages-5463–5482(2020), (I.F) = 3.732

B. List of journals (Scopus Indexed)

1. Rajesh Kumar, Shefali Srivastava, Anuli Dass, and Smriti Srivastava. "A novel approach to predict stock market price using radial basis function network." International Journal of Information Technology (2019), Springer:1-9.

2. Raman Tiwari, Rajesh Kumar, Rajat Gera, and Smriti Srivastava. "On comparing the performances of MLP and RBFN on sales forecasting problem" International Journal of Information Technology (2019), Springer:1-9.

C. List of IEEE Scopus-indexed Conferences

1. Razzak Ahmad, Pratyush, and Rajesh Kumar "Very Short-Term Photovoltaic (PV) Power Forecasting Using Deep Learning (LSTMs)." In 2021 International Conference on Intelligent Technologies (CONIT), pp. 1-6. IEEE,  2021.

2. 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), held at DTU, New Delhi, 4th-6th July 2016

3. 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, held at LNMIIT, Jaipur, 21-24 Sept 2016

4. 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 held at Amity University, Noida, 6-7 Oct. 2016.

5. Neil Malhotra, Ram Suri, Puru Verma, and Rajesh Kumar “Smart Artificial Intelligence Based Online Proctoring System” accepted in IEEE International Conference on Electrical, Electronics and Computer Engineering (DELCON-2022).

6. Prashasthi Srivastava and Rajesh Kumar “A Novel Recurrent Neural Network Model for the Identification of Time-Delayed Non-Linear System” was accepted in IEEE International Conference on Electrical, Electronics and Computer Engineering (DELCON-2022).

7. Shobana. R, Rajesh Kumar, and Bhavnesh Jaint. "Fuzzy Logic Control of Temperature in Nitration Process." In 2021 International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications (CENTCON), vol. 1, pp. 13-17. IEEE, 2021.

8. Madan Mohan Rayguru, Rajesh Kumar, Balakrishnan Ramalingam, and Mohan Rajesh Elara. "Simultaneous Motion-Slosh Control for a Self-Reconfigurable Mobile Robot." In 2021 International Symposium of Asian Control Association on Intelligent Robotics and Industrial Automation (IRIA), pp. 240-246. IEEE, 2021.

D. List of Scopus-indexed Springer book chapters

1. Raman Tiwari, Rajesh Kumar, Smriti Srivastava, and Rajat Gera. "Diagonal Recurrent Neural Network Based Prediction Model for Sales Forecasting." In Metaheuristic and Evolutionary Computation: Algorithms and Applications, pp. 629-648. Springer, Singapore, 2021.

2. 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, 2017. DOI: 10.1007/978-981-10-3153-340.

3. 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.

E 1. Professional Activities:

1. Editorial Board Member (Associate Editor) of Complex & Intelligent Systems Journal - Springer (SCIE, Impact Factor: 6.700)

2. Editorial Board Member of Intelligent Automation & Soft Computing - Tech Science Press (SCIE, Impact Factor: 3.401)

3. Associate Editor of Results in Control and Optimization Journal- Elsevier

4. Academic Editor of PLOS ONE Journal

5. Associate Editor of International Journal of Artificial Intelligence™ (ISSN 0974-0635).

6. Session Chair in International Conference On Intelligent Systems and Smart Infrastructure (ICISSI-2022) by CRC Press, Taylor & Francis Group.

7. Session Chair in 2nd International Conference on Signals, Machines, and Automation (SIGMA)-2022, Springer held at Netaji Subhas University of Technology, New Delhi, India, 05th - 06th August 2022

E 2. Awards and expert talk

1. Commendable Research Award from Delhi Technological University, 2022

2. Best paper award in International Conference On Intelligent Systems and Smart Infrastructure (ICISSI-2022) by CRC Press, Taylor & Francis Group.

3. Delivered an expert talk on "Artificial Neural Network and their applications” in One Week Faculty Development Program (FDP) on “Latest Technologies and their Applications in Electrical Engineering and Future Energy”, organized by the Department of Electrical & Electronics Engineering, MAIT, Delhi from August 16-20, 2021(Online Mode).

4. Delivered an expert talk on "Artificial of various Artificial Neural Networks for modeling and control of dynamical systems” in the One Week Faculty Development Program (FDP) on “AI and Machine Learning applications in Electrical and Electronics Engineering”, organized jointly by SIET Prayagraj, J.K Institute of Applied Physics and Technology Prayagraj and Dr. Manohar Lohia Avadh University, Ayodhya from August 20-25, 2022(Online Mode).

F. Serving as a reviewer for various reputed international journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Industrial Informatics, IEEE Access, ISA Transactions - Elsevier, Neurocomputing - Elsevier, International Journal of Adaptive Control and Signal Processing-Wiley, Neural Networks - Elsevier, Applied Soft Computing-Elsevier, Journal of Process Control-Elsevier, Journal of Computational and Applied Mathematics-Elsevier, Engineering Applications of Artificial Intelligence-Elsevier, Knowledge-based systems-Elsevier, Asian Journal of Control-Wiley, International Journal of Robust and Nonlinear Control - Wiley, Nonlinear Dynamics-Springer, Soft Computing-Springer, Applied Intelligence-Springer, International Journal of Control, Automation and Systems - Springer, Computational and applied mathematics-Springer, Arabian Journal for Science and Engineering-Springer, Mathematical and Computer Modelling of Dynamical Systems - Taylor and Francis, Transactions of the Institute of Measurement and Control, Journal of Experimental & Theoretical Artificial Intelligence - Taylor and Francis, Mathematical Problems in Engineering - Hindawi, International Journal of Modelling, Identification, Control - Inderscience, International Journal of Artificial Intelligence and Soft Computing - Inderscience, International Journal of Computer Aided Engineering and Technology (IJCAET) - Inderscience, International Journal of Electronic Marketing and Retailing - Inderscience, International Journal of Intelligent Engineering Informatics - Inderscience, World Journal of Engineering-Emerald Insight, Automatic control, and computer sciences (AC&CS).

G1. Courses Taught in the academic year 2020-21:

ODD semester

(1) Soft Computing (B.Tech, 5th Semester)-August 2020

(2) Measurement & Instrumentation (M.Tech (C&I), Ist Semester)-August 2020

(3) Measurement & Instrumentation Lab (M.Tech (C&I), Ist Semester)-August 2020

(4) Instrumentation & Measurement Lab (B.Tech, 7th Semester)-August 2020

(5) Basic Electrical Engineering (B.Tech, 1st semester)-December 2020-March 2021

(6) Basic Electrical Engineering Lab (B.Tech, 1st semester)-December 2020-March 2021

Even semester

(1) Digital Circuits and Systems (B.Tech, 4th Semester)-January 2021

(2) Control Systems Lab (B.Tech, 4th Semester)-January 2021

G2. Courses Taught in the academic year 2021-22:

ODD semester

(1) Instrumentation & Measurement (B.Tech, 7th Semester) - August 2021

(2) Robot Dynamics & Control (M.Tech (C&I), 3rd Semester) - August 2021

(3) Instrumentation & Measurement Laboratory (B.Tech, 7th Semester) - August 2021

(4) Basic Electrical Engineering Lab (B.Tech, 1st semester)-December 2021-March 2022

Even Semester

(1) Digital Circuits and Systems (B.Tech, 4th Semester)-January 2022-April 2022

(2) Control Systems Lab (B.Tech, 4th Semester)-January 2022-April 2022

(3) Robotics & Machine Vision (B.Tech 6th & 8th Semester Elective)-January 2022-April 2022

(4) Basic Electrical Engineering Lab (B.Tech, 2nd semester)-April 2022-June 2022

G3. Courses Taught in the academic year 2022-23:

ODD semester

(1) Measurement & Instrumentation (M.Tech, Ist Semester) - August 2022 to date

(2) Measurement & Instrumentation Lab (M.Tech, Ist Semester) - August 2022 to date

(3) Soft Computing (B.Tech, 5th & 7th Semester)-August 2022 to date

(4) Soft Computing Lab (B.Tech, 5th & 7th Semester)-August 2022 to date

(5) NEOM Lab (B.Tech, 3rd Semester) - August 2022 to date

(6) Fundamentals of machine learning lab (B.Tech, 5th and 7th semester)-August 2022 to date

H. Departmental Work:

(1) Committee Member for NBA/NAAC/AQAR-related work.

(2) Co-convener: Departmental Time Table Committee from Dec-2020 to date

(3) Member: Departmental ERP Committee from Jan-2021 to August 2022

(4) Departmental Ph.D. Co-coordinator: Aug 2021 to date

I. Ongoing/completed B.Tech project/M.Tech thesis under my supervision