People


Mo Chen

Principal Investigator, MARS Lab
Associate Professor, SFU CS
CIFAR AI Chair, Amii Fellow

Office: TASC 1 8225

Email: mochen [at] cs [dot] sfu [dot] ca

Dr. Mo Chen is an Associate Professor in the School of Computing Science at Simon Fraser University, Burnaby, BC, Canada, where he directs the Multi-Agent Robotic Systems Lab. He holds a Canada CIFAR AI Chair position and is an Amii Fellow. Dr. Chen completed his PhD in the Electrical Engineering and Computer Sciences Department at the University of California, Berkeley in 2017, and received his BASc in Engineering Physics from the University of British Columbia in 2011. From 2017 to 2018, He was a postdoctoral researcher in the Aeronautics and Astronautics Department in Stanford University. Dr. Chen’s research interests include multi-agent systems, safety-critical systems, human-robot interactions, control theory, reinforcement learning, and their intersections.


PhD Students

Mohammad Mahdavian
deep learning, human-robot interactions, autonomous driving
Personal website
Sahar Leisiazar
reinforcement learning, human-robot interactions
Personal website
Zhitian Zhang
deep learning, human-robot interactions
also part of Rosie Lab
Pedram Agand
deep learning, transportation systems, autonomous driving
Payam J. Yazdian
generative models, affective computing
also part of Rosie Lab
Minh Bui
robotic safety, numerical methods, multi-agent systems
also part of Computer Architecture Lab
Michael Lu
reinforcement learning, safe learning, control theory
Personal website
Hanyang Hu
multi-agent systems, robotic safety, reinforcement learning
Personal website
Roozbeh Razavi
reinforcement learning
Chong He
robotic safety, control theory
Personal website
Yankai Li
motion planning, control theory

Research Assistants

Thimira Wijepala, undergrad
motion planning
Gursahib Singh Badwal, undergrad
motion planning
Satvik Garg, USRA
motion planning, multi-agent systems
Luna Sang, USRA
human-robot interactions

Alumni

PhD

Xubo Lyu
reinforcement learning, optimal control
Salar Asayesh
reinforcement learning, multi-agent systems
Next: Sanctuary AI
Payam Nikdel
reinforcement learning, human-robot interactions
Next: Waymo

MSc

Tara Toufighi
robotic safety, computer vision
Sriraj Meenavilli
representation learning, optimal control
Next: NTWIST
Dorsa Dadjoo
computer vision, 3D reconstruction
Next: S&P Global
Taher Ahmadi
human-robot interactions, computer vision
also part of Rosie Lab
Next: Blue Boat Data
Xinyu Zhao
reinforcement learning, multi-agent systems
Atefeh Sahraee
optimal control, reinforcement learning
Next: Ocado
Juan C. Leon
optimal control, multi-agent systems
Next: Teck
Anjian Li
optimal control, computer vision
Next: PhD at Princeton

Research Assistants

Jessica Mann, undergrad
human-robot interactions
Ekansh Chawla, undergrad
robotics
Jiin Kim, undergrad
human-robot interactions
Jashanraj Gosain, undergrad
safe learning
Abby Wang, MPCS
reinforcement learning, multi-agent systems
Yimeng Fan, MPCS
machine learning, maritime applications
Aadil Akhtar, undergrad
reinforcement learning
Tyler D’Silva, MPCS
robotics
Yunlong Li, USRA
Joe Zhang, USRA
reinforcement learning, optimal control
Next: MSc at Carnegie Mellon University
Kefan Yang, undergrad
human-robot interactions
Next: Google
Jun Yang, USRA
robotic safety
Michael Chang, undergrad
computer vision
Francis Li, undergrad
reinforcement learning, optimal control
Khizr A. Pardhan, undergrad
computer vision
George Giovanis, USRA
software engineering, optimal control
Next: Amazon