CS PhD Student · University of California, Irvine
Raheeb
Hassan
I'm a PhD student in Computer Science at UC Irvine, advised by Dr. Mohsen Imani. I work on machine learning, with a focus on neurosymbolic methods. Lately, I've been especially drawn to reinforcement learning and world models.
Before that, I studied Computer Science at the University of Dhaka, where I worked on safe multi-agent reinforcement learning with Dr. Md. Mosaddek Khan. After graduating, I spent two years in industry as a machine learning engineer at Therap Services before starting my PhD.
Outside research, I enjoy art, anime, competitive programming, and table tennis.
Log
Full log →- 2026.07Paper accepted to ICCAD 2026.
- 2026.01Paper published in IEEE Access.
- 2026.01Started as Graduate TA for ICS 26.
- 2025.11Received the Dean's Award from the University of Dhaka.
Selected research
All 9 →CyberWorld: World Models for Sample-Efficient Autonomous Cyber Defense
Vector Symbolic Policy Gradient
DePAint: A Decentralized Safe Multi-Agent Reinforcement Learning Algorithm considering Peak and Average Constraints
Reinforcement Learning Based Formulations with Hamiltonian-Inspired Loss Functions for Combinatorial Optimization over Graphs
Achievements
All achievements →Academic
- Dean's Award, University of Dhaka2021
- Best Undergraduate Final Project2021
Competitive Programming
- 16th, ICPC Asia Dhaka Regional2021
- 20th, MIST Inter-University2019
Hackathons
- Champion, Code Samurai2022
CTF / Security
- 11th, SUST Technovent CTF2023
Journey
Full journey →▲ Education
▼ Experience
- Education
- Research
- Industry
- Teaching
- Education
- Research
- Industry
- Teaching
Art
Gallery →
Get in touch
Always open to collaborations and new opportunities.