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Amir Massoud Farahmand
BS in Electrical Engineering (Telecommunication), K.N. University of Technology, Iran; MS in Electrical Engineering (Control), University of Tehran, Iran; PhD in Computing Science, University of Alberta

Research interests and affiliations

Research interests
  • Artificial Intelligence
  • Machine Learning
  • Reinforcement Learning
Affiliation(s)
Expertise type(s) (NSERC subjects)
  • 2800 ARTIFICIAL INTELLIGENCE (Computer Vision, use 2603)
  • 2715 Optimization
  • 2805 Learning and inference theories
  • 2956 Optimization and optimal control theory
  • 2509 Control systems

Publications

Recent publications

Biography

Amir-massoud Farahmand is an associate professor at the Department of Computer and Software Engineering, Polytechnique Montréal and a core academic member of Mila, as well as an associate professor (status-only) at the Department of Computer Science, University of Toronto. He was a research scientist and CIFAR AI Chair at the Vector Institute in Toronto between 2018–2024, and principal research scientist at Mitsubishi Electric Research Laboratories in Cambridge, USA between 2014-2018. He received his PhD from the University of Alberta in 2011, followed by postdoctoral fellowships at McGill University (2011–2014) and Carnegie Mellon University (CMU) (2014).

Amir-massoud’s research vision is to understand the computational and statistical mechanisms required to design efficient AI agents that interact with their environment and adaptively improve their long-term performance. He has experience in developing RL and ML methods to solve industrially-motivated problems.

Education

  • BS in Electrical Engineering (Telecommunication), K.N. University of Technology, Iran
  • MS in Electrical Engineering (Control), University of Tehran, Iran
  • PhD in Computing Science, University of Alberta