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Presented By: U-M Industrial & Operations Engineering

Ph.D. Defense: Seokhyun Chung

Collaborative and distributed data analytics for smart and connected systems

Seokhyun Chung Seokhyun Chung
Seokhyun Chung
Seokhyun is a PhD student advised by Dr. Raed Al Kontar. His research interests lie in the predictive models based on Bayesian machine learning, especially for kernel methods and Bayesian deep learning. Specific applications include smart manufacturing, personalized patient monitoring, and dynamic pricing in the energy supply system.
Seokhyun Chung Seokhyun Chung
Seokhyun Chung

Livestream Information

March 24, 2023 (Friday) 4:00pm

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