School of Engineering
Showing 721-740 of 790 Results
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Xiangjin Wu
Ph.D. Student in Electrical Engineering, admitted Autumn 2021
BioXiangjin Wu is a Ph.D. candidate in the Department of Electrical Engineering at Stanford University, co-advised by Prof. Eric Pop and Prof. H.-S. Philip Wong. He received his B.S. in Physics with Honors from Nanjing University in 2020. His research focuses on novel materials and heterostructures for memory applications, including phase change memory (PCM), dynamic random-access memory (DRAM), and their interconnects. Xiangjin is a recipient of the Samsung fellowship.
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Yu Wu
Postdoctoral Scholar, Electrical Engineering
BioYu Wu is a postdoctoral scholar in Ginzton Laboratory. She received her Ph.D. degree in the Electrical and Computer Engineering department at UCLA in 2023 and B.S. degree in Physics from Nanjing University in 2017. Her research interests primarily center on nanophotonics, terahertz techniques, quantum cascade lasers, and frequency comb.
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Lei Xing
Jacob Haimson and Sarah S. Donaldson Professor and Professor, by courtesy, of Electrical Engineering
Current Research and Scholarly Interestsartificial intelligence in medicine, medical imaging, Image-guided intervention, molecular imaging, biology guided radiation therapy (BGRT), treatment plan optimization
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Kuang Xu
Associate Professor of Operations, Information and Technology at the Graduate School of Business and, by courtesy, of Electrical Engineering
On Leave from 10/07/2024 To 09/19/2025BioKuang Xu is an Associate Professor of Operations, Information and Technology at Stanford Graduate School of Business, and Associate Professor by courtesy with the Electrical Engineering Department, Stanford University. Born in Suzhou, China, he received the B.S. degree in Electrical Engineering (2009) from the University of Illinois at Urbana-Champaign, and the Ph.D. degree in Electrical Engineering and Computer Science (2014) from the Massachusetts Institute of Technology.
His research primarily focuses on understanding fundamental properties and design principles of large-scale stochastic systems using tools from probability theory and optimization, with applications in queueing networks, healthcare, privacy and machine learning. He received First Place in the INFORMS George E. Nicholson Student Paper Competition (2011), the Best Paper Award, as well as the Kenneth C. Sevcik Outstanding Student Paper Award at ACM SIGMETRICS (2013), and the ACM SIGMETRICS Rising Star Research Award (2020). He currently serves as an Associate Editor for Operations Research and Management Science. -
Yoshihisa Yamamoto
Professor of Electrical Engineering and of Applied Physics, Emeritus
Current Research and Scholarly InterestsExperimental Quantum Optics, Semiconductor Physics, Quantum Information