Aditya Mahajan is a Professor at McGill University in the Department of Electrical and Computer Engineering. His research focuses on Intelligent Systems Control and Telecommunications, with a particular emphasis on Signal Processing. He has contributed to the field through his work on Markov decision processes, including partially observable Markov decision processes (POMDPs), and has extensive experience in reinforcement learning approaches, such as structure-aware reinforcement learning and multi-agent reinforcement learning. His research interests also encompass Game Theory, Team Theory, and stochastic iterative algorithms. Mahajan is known for his innovative approaches to these areas and for developing solutions to complex problems in intelligent systems. He is committed to advancing knowledge in his fields of expertise and fostering collaboration through academic research.