School of Engineering
Showing 6,701-6,720 of 7,009 Results
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Yinyu Ye
Kwoh-Ting Li Professor in the School of Engineering and Professor, by courtesy, of Electrical Engineering
On Partial Leave from 10/01/2022 To 06/30/2023Current Research and Scholarly InterestsMy current research interests include Continuous and Discrete Optimization, Algorithm Development and Analyses, Algorithmic Game/Market Theory and Mechanism-Design, Markov Decision Process and Reinforcement Learning, Dynamic/Online Optimization and Resource Allocation, and Stochastic and Robust Decision Making. These areas have been the unique and core disciplines of MS&E, and extended to new application areas in AI, Machine Learning, Data Science, and Business Analytics.
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Serena Yeung
Assistant Professor of Biomedical Data Science and, by courtesy, of Computer Science and of Electrical Engineering
BioDr. Serena Yeung is an Assistant Professor of Biomedical Data Science and, by courtesy, of Computer Science and of Electrical Engineering at Stanford University. Her research focus is on developing artificial intelligence and machine learning algorithms to enable new capabilities in biomedicine and healthcare. She has extensive expertise in deep learning and computer vision, and has developed computer vision algorithms for analyzing diverse types of visual data ranging from video capture of human behavior, to medical images and cell microscopy images.
Dr. Yeung leads the Medical AI and Computer Vision Lab at Stanford. She is affiliated with the Stanford Artificial Intelligence Laboratory, the Clinical Excellence Research Center, the Center for Artificial Intelligence in Medicine & Imaging, the Center for Human-Centered Artificial Intelligence, and Bio-X. She also serves on the NIH Advisory Committee to the Director Working Group on Artificial Intelligence. -
Zihan (Harry) Yi
Graduate, Stanford Center for Professional Development
BioBorn in Zhuhai, China, Zihan Yi acquired his Bachelor of Science degree in Computer Engineering from UC San Diego in 2019. Post graduation, he embarked on his career as a software engineer at Salesforce. Now, his educational journey has led him to Stanford University, aiming to pursue a degree in AI and Machine Learning. His future career goal is to potentially evolve into a machine learning engineer in the field of NLP and Computer Vision.
In addition to his passion for technology, he is also an avid golf enthusiast who boasts extensive knowledge of all golf courses in the Bay Area.
