Portrait of Roozbeh Razavi Rohani

Roozbeh Razavi Rohani

PhD Candidate, Simon Fraser University

About

I’m a Ph.D. candidate in Computing Science at Simon Fraser University, where I’m fortunate to work under the supervision of Professor Mo Chen at the MARS Lab. Before joining SFU, I completed my Master’s degree at Sharif University of Technology, advised by Professor Mahdieh Soleymani Baghshah, and earned my Bachelor’s degree at Shiraz University.

I’m interested in how agents can learn efficiently from experience and transfer what they know to new situations. More specifically, my research focuses on decision-making agents that keep learning and adapting under non-stationarity. I work on reinforcement learning, credit assignment, continual learning, and meta-RL, often drawing on ideas from neuroscience.

Education

Ph.D. in Computing Science

Sep 2023 – Present
Simon Fraser University, Burnaby, BC · Supervisor: Prof. Mo Chen · GPA: 4.08/4.33

M.Sc. in Computer Engineering (Artificial Intelligence & Robotics)

Sep 2019 – Jan 2022
Sharif University of Technology, Tehran, Iran · Supervisor: Prof. Mahdieh Soleymani Baghshah · GPA: 18.86/20

B.Sc. in Computer Engineering (Software)

Sep 2014 – Jul 2019
Shiraz University, Shiraz, Iran · GPA (last three years): 18.46/20

Publications

Published

NeuMoSync: End-to-end neuromodulatory control for plasticity and adaptability in continual learning
S. R. Razavi Rohani, K. Khajavi, W. Chung, M. Samiei, M. Chen
Transactions on Machine Learning Research (TMLR), 2026
Preserving plasticity in continual learning with adaptive linearity injection
S. R. Razavi Rohani, K. Khajavi, W. Chung, M. Chen, S. Vaswani
Conference on Lifelong Learning Agents (CoLLAs), 2025 · arXiv
Adapting to frequent human direction changes in autonomous frontal following robots
S. Leisiazar, S. R. Razavi Rohani, E. J. Park, A. Lim, M. Chen
IEEE Robotics and Automation Letters (RA-L), 2025
Inductive biases for zero-shot systematic generalization in language-informed reinforcement learning
N. Hashemi Dijujin, S. R. Razavi Rohani, M. M. Samiei, M. Soleymani Baghshah
Machine Learning, 114(6):137, 2025
BIMRL: Brain inspired meta reinforcement learning
S. R. Razavi Rohani, S. Hedayatian, M. Soleymani Baghshah
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022 · arXiv

Experience

Machine Learning Research Intern

Sep 2025 – Mar 2026
Human in Motion Robotics Inc., Vancouver, BC

Graduate Research Assistant, MARS Lab

Sep 2023 – Present
Simon Fraser University, Burnaby, BC

Research Assistant, Machine Learning Lab

Dec 2019 – Sep 2023
Sharif University of Technology, Tehran, Iran

Software Developer (Undergraduate Project)

Apr 2017 – Sep 2017
ICT Center, Shiraz University, Shiraz, Iran

Skills

Programming
Python, C/C++, MATLAB
Machine learning
PyTorch, JAX, TensorFlow, Hugging Face Transformers, Hydra, Pandas, scikit-learn
Simulation & robotics
Isaac Sim, Isaac Gym, MuJoCo, ROS 2
Data & engineering
Apache Spark, Git, Linux, HPC clusters, Weights & Biases, Docker

Honors & Awards

  • CMPT Graduate Fellowship and PhD Research Scholarship, Simon Fraser University (awarded annually for four years)
  • 3rd place nationwide (of ~20,000), Iranian M.Sc. Entrance Exam in AI & Robotics
  • Top 20% GPA among M.Sc. graduates, Sharif University of Technology
  • Top 15% GPA among B.Sc. graduates, Shiraz University

Teaching

Teaching Assistant

  • Machine Learning, Simon Fraser University — Fall 2024, Fall 2025
  • Advanced Machine Learning, Sharif University of Technology — Fall 2022
  • Reinforcement Learning, Sharif University of Technology — Spring 2022
  • Deep Learning, Sharif University of Technology — Spring 2021