Hoang-quan Nguyen is a PhD candidate and Graduate Assistant in the Electrical Engineering and Computer Science Department at the University of Arkansas, focusing on computer vision and deep learning for image and video understanding. With eight years of combined academic and industry experience, he brings practical software development experience from FPT Software to rigorous research in the Computer Vision and Image Understanding Lab. He excels at bridging theory and application—developing models and systems that translate cutting-edge vision research into reproducible experiments and potential real-world prototypes. Based in Fayetteville, Arkansas, he combines international academic roots from VNUHCM University of Science with growing expertise in deep learning pipelines, data-driven evaluation, and video analytics.
8 years of coding experience
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at VNUHCM - University of Science
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Arkansas
Contributions:3 pushes, 1 branch in 2 years 6 months
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