Samuel Chun Pong Lau
Student at Johns Hopkins University
United States
Summary
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SeniorChun Pong Lau is an Assistant Professor at the School of Data Science, City University of Hong Kong, bringing eight years of research and teaching experience across mathematics and computer science. He earned a PhD in Computer Science from Johns Hopkins University and has postdoctoral experience at JHU’s Mathematical Institute for Data Science, where he focused on robust and reliable computer vision methods. His work blends deep theoretical grounding in applied mathematics with practical algorithm development for atmospheric turbulence mitigation, adversarial robustness, severe-condition biometrics, and generative AI. Chun’s trajectory—from quasi-conformal geometry and computational differential geometry to modern deep learning—gives him a rare ability to connect elegant mathematics with real-world imaging problems. He often tackles problems at the intersection of theory and application, producing solutions that improve robustness under extreme conditions.
8 years of coding experienceProgramming languages (1)
Github contributions (5)
samuel930930/Dual-Manifold-Adversarial-Training
Oct 2020 - May 2021
Contributions:11 commits, 3 pushes, 2 branches in 7 months
samuel930930/samuel930930.github.io
Feb 2021 - Sep 2023
Contributions:98 pushes in 2 years 7 months
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