Dr. Rudrashis Majumder is an Assistant Professor in the Department of Computer Science and Engineering at Shiv Nadar University, Chennai. His research focuses on machine learning, control systems, and optimization, with applications in autonomous vehicles, UAV traffic management, and robotics. He received his Ph.D. in Aerospace Engineering (Guidance & Control Division) from the Indian Institute of Science (IISc), Bengaluru, where his doctoral work centred on game-theoretic frameworks for disaster resource allocation. He also holds a master’s degree in Control Systems Engineering from Jadavpur University, Kolkata, where he was awarded the University Gold Medal for securing the first rank. Before joining Shiv Nadar University, Dr. Majumder was a Postdoctoral Research Associate at IISc, contributing to the Artificial Intelligence and Robotics Laboratory (AIRL) and ARTPARK. He has worked on projects funded by DRDO, Collins Aerospace, and ARTPARK, addressing challenges in safe navigation, autonomous systems, and swarm robotics. Dr. Majumder is also passionate about teaching. He has been involved in courses on drone systems, swarm robotics, and guidance & control at IISc. He has served as a co-instructor of the NPTEL course “Drone Systems and Control” launched in July 2025. He actively serves as a reviewer for leading international journals and conferences in robotics, control, and AI.

1. Postdoctoral Research Associate (Consultant) (January 2023 – June 2025)

a) ARTPARK, Indian Institute of Science (IISc), Bengaluru, India
b) Artificial Intelligence and Robotics Laboratory (AIRL) Department of Aerospace Engineering (Guidance & Control Division) Indian Institute of Science (IISc), Bengaluru, India

2. Junior Project Assistant  (September 2012 – March 2014)
Department of Electronics and Electrical Communication Indian Institute of Technology, Kharagpur, India

3. Faculty (February 2011 – August 2012)
Department of Electronics Engineering Bose Institute of Engineers, Kolkata, India

1. R. Majumder*, S. Jana, and D. Ghose, “Game theory-based decision-making for the allocation of scarce medical resources in COVID-19 situation,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 54, no. 4, pp. 2137-2148, 2024. (Impact Factor: 8.6), doi: 10.1109/TSMC.2023.3341883

2. R. Majumder* and D. Ghose, “A strategic decision support system using multiplayer non-cooperative games for resource allocation after natural disasters,” IEEE Transactions on Automation Science and Engineering, vol. 20, no. 4, pp. 2227-2240, 2023. (Impact Factor: 5.9), doi: 10.1109/TASE.2022.3213820

3. R. Majumder* and D. Ghose, “Three-player game-theoretic allocation of indivisible resources during natural disasters,” Engineering Optimization, vol. 55, no. 9, pp. 1577-1596, 2023. (Impact Factor: 2.7), doi: 10.1080/0305215X.2022.21 01047

4. S. Saha, A. Basu, V. Vaidya, R. Majumder*, J. Keshavan, and S. Sundaram, “VORPF: Virtual Obstacle-based Rotational Potential Field for UAV swarm to escape local minima,” Accepted for presentation in ETAAV 2025 at Bangalore, India.

5. M. R. Rakshith, R. Majumder*, S. Sundaram, “Autonomous UAV path planning for window detection and traversal: Ensuring smooth and safe navigation,” Accepted for publication in SPACE 2025 at Bangalore, India.

6. R. Majumder*, Bharathwaj K. S., Yuvan R. S., and S. Sundaram, “A Hybrid RRT*-CBF Approach for Safe Navigation of Autonomous Underwater Vehicles,” Accepted and presented in OCEANS, 2025 at Brest, France.

7. R. Makam, A. Nair, R. Majumder, and Suresh Sundaram, “Safe and Predictive Path-Planning of Autonomous Underwater Vehicles in a Dynamic Cluttered Environment,” Accepted and presented in OCEANS, 2025 at Brest, France.

8. R. Majumder, R. Makam, P. Mane, Bharathwaj K. S. and S. Sundaram, “Safe navigation of autonomous underwater vehicles using physics-informed neural networks,” OCEANS 2024 – Singapore, 2024, pp. 1-6, doi: 10.1109/OCEANS51537.2024.10682406.

9. R. Majumder*, S. S. Chakravarthy, S. Samahith, S. Sundaram, and H. Patel, “OA-PINN: Efficient obstacle avoidance for autonomous vehicle safety with physics-informed neural networks,” 2024 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT), Bangalore, India, 2024, pp. 1-6, doi: 10.1109/CONECCT62155.2024.10677289.

10. S. Mishra, R. Majumder, and S. Sundaram, “PINGS: Physics-informed networks with guided supermasks for sequential PDE solving,” 2024 International Joint Conference on Neural Networks (IJCNN), Yokohama, Japan, 2024, pp. 1-8, doi: 10.1109/IJCNN60899.2024.10651548.

11. R. Jana, R. Majumder*, Bharathwaj K S, and S. Sundaram, “Safe Deep Reinforcement Learning-based Controller (SDRLC) for autonomous navigation of planetary rovers,” 2024 IEEE Space, Aerospace and Defence Conference (SPACE), Bangalore, India, 2024, pp. 799-803, doi: 10.1109/SPACE63117.2024.10668292.

12. R. Majumder*, R. R. Warier, and D. Ghose, “Game theory-based allocation of critical resources during natural disasters,” in the Proceedings of 6th Indian Control Conference (ICC), Hyderabad, India, 2019, pp. 514-519.

13. R. Majumder* and S. Sadhu, “Robust extended Kalman filter for ballistic object tracking during re-entry,” in the Proceedings of IEEE Annual India Conference (INDICON), Bangalore, India, 2016, pp. 1-6.

Area of Research

• Machine Learning,

• Deep Learning,

• Control Systems,

• Optimization,

• Game Theory and Mechanism Design, Robotics (ground, aerial, underwater),

• UAV Traffic Management

1. Inducted into the IEEE-HKN Honor Society by IEEE-IISc student branch in October, 2020.
2. University Gold Medal in Master of Engineering from Jadavpur University, 2016 for coming first in the merit list of control system engineering.

• Personal Website: https://sites.google.com/view/rudrashis-majumder/
• Google Scholar: https://scholar.google.co.in/citations?user=WSHmCnQAAAAJ&hl=en
• LinkedIn: https://www.linkedin.com/in/rudrashism/