Habib Slim
Doctoral Researcher at KAUST (King Abdullah University of Science and Technology)
Jeddah, Makkah Region, Saudi Arabia
Summary
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Senior🎓
Top SchoolHabib Slim is a doctoral researcher at KAUST with nine years of experience in computer science and machine learning, focused on continual and compositional learning, generative modelling, and representation learning for vision. His background spans academic and industry research internships (CEA, CNRS, Adobe) where he tackled challenges like rehearsal-free continual learning and improving class-conditional GAN diversity using boosting. Trained at ENSIMAG/Université Grenoble Alpes with MSc and MEng degrees in data science and computer science, he combines solid theoretical grounding with practical system-building—ranging from Wikipedia data extraction to advising junior development teams. Based in Jeddah, he brings a strong 2D/3D vision interest and an aptitude for translating research ideas into reproducible experiments and tools, as showcased on his personal site.
8 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Data Science, Master of Science - MS, Data Science at National School of Computer Science and Applied Mathematics of GrenobleHigher National Diploma, Computer Science, Higher National Diploma, Computer Science at Université Grenoble Alpes
English, French, Spanish, Arabic
Github Skills (38)
geometry8
gtk8
information-theory8
mesh8
multimodal-deep-learning8
sketch8
qt8
matplotlib7
meta-learning7
python7
vtk7
computer-vision6
transfer-learning6
triangular6
data-visualization6
Programming languages (2)
Github contributions (5)
HabibSlim/DKT-for-CIL
Oct 2021 - Oct 2021
Contributions:9 commits, 3 pushes, 1 branch in 4 days
HabibSlim/ProjetJ
May 2017 - Jun 2018
Contributions:62 pushes, 1 branch in 1 year
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