Teaching team

Instructor

Florian Shkurti is an assistant professor in computer science at the University of Toronto, where he leads the Robot Vision and Learning lab. He is a faculty member of the University of Toronto Robotics Institute, the Acceleration Consortium, and a faculty affiliate at Vector Institute. His research group develops methods that enable robots to learn to perceive, reason, plan, and act effectively and safely, particularly in dynamic environments and alongside humans. Application areas of his research include field robotics for environmental monitoring, visual navigation for autonomous vehicles, and mobile manipulation.

Office hours	Location
Mondays 4:30-5:30pm ET	(Hybrid) Zoom + Sanford Fleming 3328, 3rd floor

Teaching Assistants

Vahid Balazadeh I’m a Ph.D. student in Computer Science at the University of Toronto, supervised by Rahul G. Krishnan. I’m interested in understanding the concepts and mechanisms that help humans in optimal decision-making, especially in healthcare. To this end, I’m working on causality and its relationship with machine learning, as well as reinforcement learning from offline observations. In particular, my research involves causal estimation and partial identification of causal effects in high-dimensional data using machine learning. I also like to explore ideas from causality, such as causal representation learning, to design interpretable machine learning methods that are robust to out-of-distribution data.

Office hours	Location
Wednesdays 3-4pm ET	(Online) Zoom

Wei-Cheng Tseng I am a PhD student at the University of Toronto, advised by Prof. Florian Shkurti. My research interests include Robot Learning, 3D Vision, and Deep Reinforcement Learning, with the goal of enabling robots to interact efficiently and effectively with real-world environments. Currently, I am working on a perception module for manipulation tasks. Prior to joining UofT, I worked on multi-agent systems, offline reinforcement learning, and novel-view synthesis.