School of Engineering
Showing 201-300 of 467 Results
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Hugo Chen
Ph.D. Student in Electrical Engineering, admitted Autumn 2022
BioHugo "Jiun-Yu" Chen is currently pursuing his Ph.D. degree in the Department of Electrical Engineering at Stanford University. He earned his M.S. in Photonics and Optoelectronics from National Taiwan University in 2019 and his B.S. in Materials Science and Engineering from National Dong Hwa University in 2017.
Prior to joining Stanford, Hugo worked as an R&D engineer at Taiwan Semiconductor Manufacturing Company (TSMC) in the High Power Program and Analog Power/RF Specialty Technology from 2019 to 2022. His research experience includes investigating GaN high electron mobility transistors (HEMTs) for high power converter applications, oxide-based thin-film transistors (TFTs) for CMOS inverter applications, and III-V quantum dots molecular beam epitaxy (MBE) material growth.
As the first author, Hugo has published two peer-reviewed journal articles, six conference papers, and one US/KR/TW/CN/DE patent. He is currently advised by Professors H.-S. Philip Wong and Kwabena Boahen, and his research focuses on developing ferroelectric field-effect transistors (FeFETs) for dendritic-centric learning.
In his leisure time, Hugo enjoys biking, playing badminton, and watching dramas. -
Jieneng Chen
Postdoctoral Scholar, Computer Science
BioJieneng Chen is a Postdoctoral Researcher at Stanford SVL. He received the PhD in Computer Science at Johns Hopkins University in 2026.
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Po-Han Chen
Research Asst - Graduate, Program-Raina, P.
BioPo-Han Chen is an EE Ph.D. student at Stanford University supervised by Prof. Priyanka Raina. He received his B.S. in Electrical Engineering and Computer Science (EECS) and M.S. in Electrical Engineering from National Tsing Hua University (Taiwan) in 2016 and 2018 respectively. Before joining Stanford, he was a digital circuit designer at MediaTek where he worked on developing hardware architectures of image processing pipeline. He is interested in designing hardware accelerators. Most of his previous works were related to computational photography algorithms such as digital refocusing. Currently, He is focusing on analyzing and designing architecture of CGRAs to create high-performance, energy-efficient, and reconfigurable computing platforms.
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Bo Wun Cheng
Ph.D. Student in Electrical Engineering, admitted Autumn 2023
BioBo-Wun Cheng is an EE Ph.D. student at Stanford University supervised by Prof. Priyanka Raina. He received his B.S. and M.S. degrees in Computer Science from National Tsing Hua University (Taiwan) in 2021 and 2023, respectively. His current research interest resides in designing and architecting efficient hardware accelerators. Before joining Stanford, his research spans the fields of Graphics Processing Unit memory architecture design and computer vision.
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Dali Cheng
Ph.D. Student in Electrical Engineering, admitted Autumn 2021
Current Research and Scholarly InterestsA light chaser studying photonics both theoretically and experimentally. I am devoted to understanding and improving our world using photonic science and engineering.
My current interest includes photonic systems with nontrivial topology, non-Hermiticity, non-Abelian gauge fields, and in the synthetic dimension. -
Vinay Chenna
Postdoctoral Scholar, Electrical Engineering
BioVinay Chenna is an incoming tenure-track assistant professor at Columbia University. He received a B.Tech in electrical engineering from the Indian Institute of Technology (IIT) Madras, Chennai, India, in 2019, and a Ph.D. in electrical engineering from the Ming Hsieh Department of Electrical and Computer Engineering at the University of Southern California, Los Angeles, CA, USA, in 2026. His current research focuses on leveraging computational techniques and optimization algorithms to design high-performance RF and mm-Wave integrated circuits. He was a recipient of the USC ECE Ming-Hsieh Institute (MHI) PhD Scholarship in 2026-27 (voluntarily declined), USC Annenberg Fellowship in 2019, and the USC IUSSTF-Viterbi summer research award in 2018. He has won the Best Student Paper Award - 1st Place at the IEEE Radio Frequency Integrated Circuits (RFIC) Symposium in 2025, the IEEE Solid-State Circuits Society (SSCS) Predoctoral Achievement Award in 2025-26, and the IEEE Microwave Theory and Techniques Society (MTT-S) Tom Brazil Graduate Fellowship in 2026. He currently serves as a reviewer for several IEEE journals, magazines, and conferences within the IEEE SSCS, APS, CAS, and MTT-S societies.
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Francois Chesnay
Graduate, Stanford Center for Professional Development
BioCourse facilitator/TA for XCS224N: Natural Language Processing with Deep Learning, for XCS221 Artificial Intelligence, XCS229 Machine Learning and XCS224R Deep Reinforcement Learning.
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E.J. Chichilnisky
John R. Adler Professor, Professor of Neurosurgery and of Ophthalmology and, by courtesy, of Electrical Engineering
On Leave from 2026-08-01 To 2026-12-01Current Research and Scholarly InterestsFunctional circuitry of the retina and design of retinal prostheses
