Abdelrahman Abdelhamed
Research Scientist at Google
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolAbdelrahman Abdelhamed is a research scientist with eight years of experience specializing in computational imaging, low-light photography, and camera ISP modeling, currently at Google after a strong tenure at Samsung AI Center Toronto. He holds advanced degrees including a PhD from York University and has published and developed practical noise modeling techniques (e.g., Noise Flow) used in production mobile imaging features like Night Mode and My Filters for flagship Galaxy devices. His work spans academic rigor and product impact—translating conditional normalizing flows and sensor noise models into neural ISPs and camera stacks for real devices. Known for bridging research and engineering, he has contributed to AI/ML projects at Apple, Borealis AI, and industry collaborations in medical camera color correction, demonstrating a knack for applied innovation in constrained hardware settings.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Science, Computer Science, 90%, Bachelor of Science, Computer Science, 90% at Assiut UniversityDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at York UniversityMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at National University of Singapore
Arabic, English
Github Skills (15)
camera10
normalizing10
noise10
noise-reduction9
image-processing9
pipeline9
modeling8
perlin-noise7
simplex4
science4
python3
machine-learning3
dce2
artificial-intelligence2
synthesis2
Programming languages (2)
Github contributions (5)
BorealisAI/noise_flow
Aug 2019 - Mar 2021
Noise Flow: Noise Modeling with Conditional Normalizing Flows
Contributions:1 review, 32 commits, 5 PRs in 1 year 6 months
flowsconditionalnormalizingnoise-reductionnoise
AbdoKamel/abdokamel.github.io
Dec 2020 - Jan 2025
Contributions:57 pushes, 1 branch in 4 years 2 months
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