Chayan Banerjee is a researcher at Queensland University of Technology (QUT), Australia. He earned his PhD in Electrical Engineering from the University of Newcastle, Australia, in 2023. Building on a strong foundation in Deep Reinforcement Learning (DRL) and Physics Informed Machine Learning (PIML), Dr. Banerjee’s current research focuses on the frontier of Agentic AI, Autonomous Systems & World Models. His work specializes in sequential decision-making (SDM) in embodied agent pipelines and single/multi-agent systems, integrating LLMs with DRL for complex control. Alongside his focus on neuro-symbolic and agentic systems, he maintains a strong active interest in Medical AI, specifically applying these technologies to complex biomedical challenges, like developing physics informed, customised recommendations and decision support.
Keywords: Sequential Decision Making (SDM), Multi-Agent Reinforcement Learning (MARL), LLM Agents, Neuro-Symbolic AI, Physics Informed ML (PIML), World Models
All that is gold does not glitter, Not all those who wander are lost;
The old that is strong does not wither, Deep roots are not reached by the frost.
From the ashes a fire shall be woken, A light from the shadows shall spring;
Renewed shall be blade that was broken, The crownless again shall be king.
by J.R.R. Tolkien
