School of Engineering
Showing 901-1,000 of 6,010 Results
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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
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Wah Chiu
Wallenberg-Bienenstock Professor and Professor of Bioengineering and, by courtesy, of Microbiology and Immunology
Current Research and Scholarly InterestsMy research includes methodology improvements in single particle cryo-EM for atomic resolution structure determination of molecules and molecular machines, as well as in cryo-ET of cells and organelles towards subnanometer resolutions. We collaborate with many researchers around the country and outside the USA on understanding biological processes such as protein folding, virus assembly and disassembly, pathogen-host interactions, signal transduction, and transport across cytosol and membranes.
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Woongbi Cho
Postdoctoral Scholar, Mechanical Engineering
BioWoongbi Cho is a postdoctoral scholar in the Department of Mechanical Engineering at Stanford University. He received his B.S. in Polymer Science and Engineering from Inha University in February 2019 , and his Ph.D. in Organic and Nano Engineering from Hanyang University in February 2025. His doctoral research focused on developing next-generation polymer composites, emphasizing processing-structure-property-performance (PSPP) relationships in liquid crystalline and sulfur-rich polymers. Currently, Woongbi's research interests center on adaptive materials, electromagnetically (EM)-driven soft robotics, polymer assembly mechanisms, and active metamaterials for applications in soft robotics, optoelectronics, and energy harvesting.
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Joonhee Choi
Assistant Professor of Electrical Engineering
BioJoonhee Choi is an Assistant Professor of Electrical Engineering at Stanford University. Joonhee received his Ph.D. and master’s from Harvard University, as well as master’s and bachelor’s degrees from Korea Advanced Institute of Science & Technology. Prior to joining Stanford, he worked as an IQIM postdoctoral fellow at the Institute for Quantum Information and Matter (IQIM) at Caltech. Joonhee’s research focus has been on engineering the dynamics of quantum many-body systems for both exploring fundamental science and demonstrating practical quantum applications. Throughout his career, he has worked in a wide variety of fields, including nonlinear nano-optics, ultrafast phenomena, solid-state and atomic physics, as well as quantum many-body physics. His expertise extends to practical applications in quantum metrology, communication, and information processing.
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Yejin Choi
Dieter Schwarz Foundation HAI Professor and Senior Fellow at the Stanford Institute for Human-Centered Artificial Intelligence
BioYejin Choi is the Dieter Schwarz Foundation Professor and Senior Fellow at the Department of Computer Science at Stanford University and the Stanford Institute for Human-Centered Artificial Intelligence (HAI) respectively. Choi is MacArthur Fellow (class of 2022), AI2050 Senior Fellow (class of 2024), and named among Time100 Most Influential People in AI in 2023. In addition, Choi is a co-recipient of 2 Test-of-Time awards and 8 Best and Outstanding Paper Awards at top AI conferences including ACL, ICML, NeurIPS, ICCV, CVPR, and AAAI, the Borg Early Career Award (BECA) in 2018, the inaugural Alexa Prize Challenge in 2017, and IEEE AI’s 10 to Watch in 2016. Choi was a main stage speaker at TED 2023, and a keynote speaker for a dozen conferences across several AI disciplines including ACL, CVPR, ICLR, MLSys, VLDB, WebConf, and AAAI. Her current research interests include fundamental limits and capabilities of large language models, alternative training recipes for language models, symbolic methods for neural networks, reasoning and knowledge discovery, moral norms and values, pluralistic alignment, and AI safety.
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Srabanti Chowdhury
Professor of Electrical Engineering, Senior Fellow at the Precourt Institute for Energy and Professor, by courtesy, of Materials Science and Engineering
Current Research and Scholarly InterestsWide bandap materials & devices for RF, Power and energy efficient electronics
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朱任飛
Graduate, Stanford Center for Professional Development
BioDr. Chu is an experienced postdoctoral researcher who has built a strong track record at Academia Sinica, Taiwan. He completed his Ph.D. in Biophysics and Physical Chemistry at the Institute of Atomic and Molecular Sciences (IAMS), gaining expertise in single-molecule imaging, molecular mechanisms, and data analysis. He then applied these imaging skills to neuroscience research at the Institute of Molecular Biology (IMB), with a focus on autism spectrum disorder (ASD) and amyotrophic lateral sclerosis (ALS).
Beyond his rigorous research, Dr. Chu studied law at National Taiwan University (NTU) in preparation for the bar examination. He is now taking credit-bearing graduate courses in electrical engineering and AI at Stanford University through the Center for Global and Online Education (CGOE), working toward the advanced degrees. -
William Chueh
Director, Precourt Institute for Energy, Kimmelman Professor, Professor of Materials Science and Engineering, of Energy Science and Engineering, of Photon Science and Senior Fellow at the Precourt Institute for Energy
BioThe availability of low-cost but intermittent renewable electricity (e.g., derived from solar and wind) underscores the grand challenge to store and dispatch energy so that it is available when and where it is needed. Redox-active materials promise the efficient transformation between electrical, chemical, and thermal energy, and are at the heart of carbon-neutral energy cycles. Understanding design rules that govern materials chemistry and architecture holds the key towards rationally optimizing technologies such as batteries, fuel cells, electrolyzers, and novel thermodynamic cycles. Electrochemical and chemical reactions involved in these technologies span diverse length and time scales, ranging from Ångströms to meters and from picoseconds to years. As such, establishing a unified, predictive framework has been a major challenge. The central question unifying our research is: “can we understand and engineer redox reactions at the levels of electrons, ions, molecules, particles and devices using a bottom-up approach?” Our approach integrates novel synthesis, fabrication, characterization, modeling and analytics to understand molecular pathways and interfacial structure, and to bridge fundamentals to energy storage and conversion technologies by establishing new design rules.
