Scholar
Amir-massoud Farahmand
Google Scholar ID: G5SAV7gAAAAJ
Polytechnique Montreal, Mila, University of Toronto
Citations & Impact
Citations
1,568
H-index
21
i10-index
35
Publications
20
Co-authors
69
list available
Publications
Resume (English only)
Research Experience
- Joined Polytechnique Montréal as Associate Professor and Mila as Core Academic Member in Fall 2024
- Taught undergraduate course 'Neural Networks and Deep Learning' at University of Toronto in Winter 2024 (last course there)
- Taught graduate-level 'Introduction to Machine Learning' in 2021 and 2022
- Developed and taught a new course on 'Reinforcement Learning' in Spring 2021 with accompanying lecture notes
- Supervised PhD student Yangchen Pan (graduated 2021, now Lecturer at Oxford) and MSc student Farnam Mansouri (risk-aware RL)
- Collaborated with AMD on Gameplay Test Automation using RL (with student Allen Bao)
Background
- Reinforcement/Machine Learning Researcher
- Research Goal: Understanding the computational and statistical mechanisms required to design efficient RL agents that interact with their environment and adaptively improve their long-term performance
- Associate Professor at the Department of Computer and Software Engineering, Polytechnique Montréal
- Mila, Core Academic Member
- Associate Professor (Status-Only) at the Department of Computer Science, University of Toronto
