Pin-Yu Chen is a research staff member in the AI Foundations Learning Group at the IBM Thomas J. Watson Research Center in Yorktown Heights, NY. His recent research focuses on adversarial machine learning and robustness analysis of neural networks; he’s also interested in graph and network data analytics and their applications to data mining, machine learning, signal processing, and cybersecurity. Pin-Yu received the NIPS 2017 Best Reviewer Award and the IEEE GLOBECOM 2010 GOLD Best Paper Award as well as several travel grants, including IEEE ICASSP 2014 (NSF), IEEE ICASSP 2015 (SPS), IEEE Security and Privacy Symposium, NSF Graph Signal Processing Workshop 2016, and ACM KDD 2016. He is a member of the Tau Beta Pi Honor Society and the Phi Kappa Phi Honor Society and was the recipient of the Chia-Lun Lo Fellowship from the University of Michigan Ann Arbor. Pin-Yu holds a BS in electrical engineering and computer science (undergraduate honors program) from National Chiao Tung University, Taiwan, an MS in communication engineering from National Taiwan University, Taiwan, and an MA in statistics and a PhD in electrical engineering and computer science, both from the University of Michigan, Ann Arbor.
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