Bikramjit Banerjee

Dr. Bikramjit Banerjee is a Professor of Computer Science at the School of Computing Sciences & Computer Engineering, University of Southern Mississippi. He holds a PhD from Tulane University (2006) and an MS from the University of Tulsa (2000). His research focuses on distributed artificial intelligence, multi-agent systems, and reinforcement learning applications in robotics and autonomous systems. He has served on editorial boards of journals like Autonomous Agents and Multi-Agent Systems (2014–2023) and organized workshops such as the 2006 ICML Workshop on Structural Knowledge Transfer. His professional affiliations include the Association for the Advancement of Artificial Intelligence (AAAI).

Education Background:

• PhD in Computer Science, Tulane University, 2006
• MS in Computer Science, University of Tulsa, 2000
• Bachelor’s in Computer Science & Engineering, Jadavpur University (India), 1998

Research Interests:
Dr. Banerjee’s work centers on advancing reinforcement learning techniques for multi-agent systems, with applications in swarm robotics, multi-robot coordination, and decision-making under uncertainty. His recent publications emphasize theoretical bounds in reinforcement learning (e.g., PALO bounds) and practical challenges like occlusion in inverse reinforcement learning (I2RL framework). These studies bridge foundational AI theory with real-world robotic deployments.

Academic Contributions:
He has contributed to IEEE Intelligent Systems as a guest editor (2017) and served on NSF panels. His teaching spans courses like Artificial Intelligence, Robotics, and Advanced Algorithms. Though no explicit grants are listed, his NSF panel roles suggest involvement in funding evaluation. No student advisees are listed in the provided texts.

Labs/Teams:
His research aligns with the university’s robotics and AI initiatives, though specific lab names are not mentioned in the data.