Presented By: Industrial & Operations Engineering
Ph.D. Defense: Seokhyun Chung
Collaborative and distributed data analytics for smart and connected systems
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.
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