Postdoctoral Researcher at KAUST (King Abdullah University of Science and Technology)
Thuwal, Makkah Region, Saudi Arabia
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Summary
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Fida Thoker is a postdoctoral researcher at KAUST with a decade of experience in computer vision and deep learning, holding a PhD from the University of Amsterdam. His research focuses on video understanding and building video foundation models trained via self-supervised learning across multiple modalities. He has a strong academic background from Bonn to Amsterdam, complemented by industry experience as a software developer, giving him practical grounding in deploying ML systems. Fida’s PhD thesis emphasized video-efficient foundation models, reflecting a drive to make large-scale models more data- and compute-efficient for real-world video. Based in Thuwal, he blends rigorous theoretical work with hands-on model engineering, often bridging research prototypes toward scalable architectures. Colleagues describe him as focused on actionable advances in action recognition and multimodal representation learning that push beyond incremental gains.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Amsterdam
Master of Science (M.Sc.) Computer Science, Master of Science (M.Sc.) Computer Science at The University of Bonn
Bachelor's Degree Computer Science and engineering, Bachelor's Degree Computer Science and engineering at National Institute of Technology Srinagar
Contributions:83 pushes, 1 branch in 5 years 10 months
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Fida Thoker - Postdoctoral Researcher at KAUST (King Abdullah University of Science and Technology)