About Me π
Iβm a third-year Ph.D. student in Computer Science at Simon Fraser University, where Iβm fortunate to work under the supervision of Professor Mo Chen at the MARS Lab. Before joining SFU, I completed my Masterβs degree at Sharif University of Technology, advised by Professor Mahdieh Soleymani, and earned my Bachelorβs degree at Shiraz University.
My broad research interest lies in understanding and helping to develop the foundational components that could eventually enable artificial general intelligence β an agent capable of learning efficiently, generalizing well, and performing across diverse cognitive tasks. I believe such intelligence will likely arise from the interaction of several core mechanisms, including memory hierarchies, attention, reasoning, lifelong learning and knowledge transfer, goal-oriented behavior, and world modeling.
I am also interested in neuro-inspired AI, which seeks to connect insights from neuroscience with computational learning systems. So far, my research has primarily focused on Continual Learning and Reinforcement Learning.
Beyond research, which I enjoy (most of the time π), I like watching thought-provoking movies about the future and thinking on philosophical questions about intelligence and the meaning of life.
Education π
Ph.D. in Computer Science
M.Sc. in Computer Engineering β AI & Robotics
B.Sc. in Computer Engineering β Software
Publications π
Preserving plasticity in continual learning with adaptive linearity injection π
Adapting to frequent human direction changes in autonomous frontal following robots
Inductive biases for zero-shot systematic generalization in language-informed RL
BIMRL: Brain-Inspired Meta Reinforcement Learning π
Experience πΌ
Intern
Research Assistant β Multi-Agent Robotic Systems (MARS)
Research Assistant β Machine Learning Laboratory (MLL)
Developer β Bachelorβs Project
Teaching π§βπ«
TA for Machine Learning (SFU) β Fall 2024, Fall 2025 (Prof. Mo Chen)
TA for Reinforcement Learning (SUT) β Spring 2022 (Prof. M.H. Rohban)
TA for Advanced Machine Learning (SUT) β Spring 2022 (Prof. M. Soleymani)
TA for Deep Learning (SUT) β Spring 2021 (Prof. H. Beigy)
Skills π
Programming
Python, C/C++, Java, C#, MATLAB
Deep Learning Frameworks
PyTorch, TensorFlow, JAX
Libraries & Packages
NumPy, Pandas, scikit-learn, Matplotlib, Isaac Gym
Tools & Platforms
ROS2, Apache Spark, Spring Boot, Django, Neo4j, MongoDB, Git/GitHub
Simulation
Isaac Sim, MuJoCo
Selected Courses β
- Causal Models & Transfer Learning β A (Prof. M. Ester)
- Generative Models β A+ (Prof. K. Li)
- Deep Learning β 19.1/20 (Prof. M. Soleymani)
- Stochastic Processes β 17.2/20 (Prof. H. Rabee)
- Machine Learning Theory β 20/20 (Prof. H. Beigy)
- Neuroscience: Learning, Memory, Cognition β 20/20 (Prof. H. Aghajan)
Honors & Awards π
CMPT Graduate Fellowship & PhD Research Scholarship, SFU
Top 20% GPA among M.Sc. graduates, Sharif University of Technology
Top 15% GPA among B.Sc. graduates, Shiraz University