Mohamed Elsayed
Graduate Research And Teaching Assistant
Edmonton, Alberta, Canada
Summary
👤
Senior🎓
Top SchoolMohamed Elsayed is a PhD student and student researcher at the University of Alberta (affiliated with Amii) focusing on scalable, real-time learning from continuous experience, with published work at NeurIPS, ICML, and ICLR. His research tackles streaming deep reinforcement learning, continual learning, and efficient recurrent architectures, blending model-free and model-based approaches to enable lifelong adaptation. He brings a decade of experience spanning academia and industry, including internships applying deep RL to self-driving vehicles and a current research post at Google DeepMind. A seasoned instructor for foundational computing and reinforcement learning courses, he pairs strong teaching skills with hands-on research deployment. Notably, his background in visual SLAM and biomedical signal projects highlights a breadth across perception and sequential modeling beyond core RL.
10 years of coding experience
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of AlbertaBachelor's degree, Communication and Information Engineering, Bachelor's degree, Communication and Information Engineering at Zewail City of Science and TechnologyElectronics and Communications Engineering, Electronics and Communications Engineering at Cairo University
Github Skills (10)
optimization-methods9
optimizer8
hessian8
pytorch6
deep-learning6
reinforcement-learning5
machine-learning5
deep-reinforcement-learning5
benchmarking2
benchmark2
Programming languages (2)
Github contributions (5)
mohmdelsayed/upgd
Nov 2022 - Oct 2024
a continual learning optimizer mitigating catastrophic forgetting and loss of plasticity
Contributions:2 PRs, 167 pushes, 24 branches in 1 year 11 months
mohamedelsayed95/goselo-ros
May 2019 - Jun 2019
Contributions:66 commits in 28 days
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