Department of Computer Engineering and Software Engineering
Research interests and affiliations
- Artificial Intelligence
- Machine Learning
- Reinforcement Learning
- MILA, Core Academic Member
- University of Toronto, Associate Professor (status-only)
- 2800 ARTIFICIAL INTELLIGENCE (Computer Vision, use 2603)
- 2715 Optimization
- 2805 Learning and inference theories
- 2956 Optimization and optimal control theory
- 2509 Control systems
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