Hichem Felouat
Researcher at Computer Sciences Club Jijel
Tokyo, Japan
Summary
👤
Senior🎓
Top SchoolHichem Felouat is a researcher and PhD-trained computer scientist based in Tokyo with nine years of experience at the intersection of AI, medical imaging and security. His doctoral work developed graph-matching methods for structural and functional MRI/fMRI analysis, optimized via parallelization and distributed HPC deployments, while he now applies that expertise to defending systems against deepfake attacks. He teaches machine learning and deep learning independently, bridging academic research and practical training. Comfortable with both low-level optimization on virtual HPC clusters and applied security problems, he brings a rare combination of brain-imaging algorithmics and adversarial-safety perspectives.
9 years of coding experience
Master of computer science, Artificial Intelligence, Master of computer science, Artificial Intelligence at University of JijelArtificial Intelligence, PhD, Artificial Intelligence, PhD at The Graduate University for Advanced Studies, SOKENDAIPhD student, Data Science and Computing, PHD, PhD student, Data Science and Computing, PHD at Saad Dahlab Blida University
Stackoverflow
1reputation
0reached
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Github Skills (7)
deepfake7
deep-learning7
ghost6
tensorflow6
machine-learning5
computer-vision5
pytorch4
Programming languages (1)
Github contributions (5)
hichemfelouat/my-codes-of-machine-learning
Sep 2019 - Dec 2022
Contributions:33 commits, 32 pushes, 1 branch in 3 years 3 months
hichemfelouat/eKYC-DF
Feb 2024 - Jan 2025
Contributions:11 pushes, 3 branches, 1 comment in 10 months
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