I am currently pursuing a Master’s degree at the University of Alberta under the supervision of Professor Marlos C. Machado. My research focuses on Reinforcement Learning (RL), with a particular interest in addressing the plasticity challenge in continual RL.

Previously, I conducted a research internship on 3D Computer Vision, specifically composition learning, at King Abdullah University of Science and Technology (KAUST) under the supervision of Prof. Mohamed Elhoseiny. Also, I worked at data distillation of NLP datasets as an intern at Microsoft Research. During my undergraduate program, I focused on optimizing Approximate Nearest Neighbor Search for billion-scale NLP datasets and supporting filter-search.

Current Interests: Machine Learning, Reinforcement Learning, Continual Learning, Computer Vision, Search Optimization, and Games.

Publications

COT3DREF: Chain-of-Thoughts Data-Efficient 3D Visual Grounding
Eslam Mohamed Bakr, Mohamed Ayman, Mahmoud Ahmed, Habib Slim, Mohamed Elhoseiny
Presented at the International Conference on Learning Representations (ICLR), 2024
PDF | Code

3DCoMPaT++: An improved large-scale 3D vision dataset for compositional recognition
Habib Slim, Xiang Li, Yuchen Li, Mahmoud Ahmed, Mohamed Ayman, Ujjwal Upadhyay, Ahmed Abdelreheem, Arpit Prajapati, Suhail Pothigara, Peter Wonka
Submitted at Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
PDF | Code