Dr. Aditya Mahajan

Professor

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Biography

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.

Research Interests

Requirements for McGill University

Master Program
Requirements
GPA Requirement
Required:3.2
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:86
IELTS
Overall
Required:6.5
Prerequisites
B.Sc. degree or equivalent M.D. degree
Application Checklist
  • Transcripts
  • 2 Letters of Reference
  • CV
  • Personal Statement
  • Confirmation of Supervision
  • Research Project Proposal
Specialization Notes

Department: Department of Medicine. Program: Experimental Medicine.