Bouzid Arezki
Postdoctoral Researcher at Université Sorbonne Paris Nord
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolBouzid Arezki is a postdoctoral researcher in Paris with eight years of experience applying deep learning to computer vision, particularly learning-based image compression and motion estimation. He completed a PhD in Computer Science at Université Sorbonne Paris Nord after earlier master’s studies in France and Algeria, and transitioned from internship work evaluating state-of-the-art optical flow models to doctoral research on neural compression. His work blends rigorous academic research with hands-on evaluation of models like RAFT and PWC-Net, giving him both theoretical depth and practical insights into model performance and trade-offs. Based in Île-de-France, he combines a mathematician’s precision with an engineer’s focus on reproducible experiments and system-level understanding.
8 years of coding experience
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Université Sorbonne Paris NordMaster's degree, Computer Science, Master's degree, Computer Science at Université Paris CitéMaster's degree, Computer Science, Master's degree, Computer Science at Université des Sciences et de la Technologie 'Houari Boumediène'
English, French, Arabic
Github Skills (1)
python2
Programming languages (1)
Github contributions (5)
arezkibouzid/TER
Feb 2020 - Mar 2020
Contributions:28 commits, 19 pushes, 1 branch in 1 month
arezkibouzid/BlockNet
Jun 2021 - Oct 2022
Contributions:6 pushes in 1 year 4 months
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