School of Engineering
Showing 701-750 of 790 Results
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Eric Wheeler
Systems and Web Developer, Electrical Engineering
Web Dvlpr 3, Electrical EngineeringCurrent Role at StanfordSystems and Web Developer, Electrical Engineering
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Jennifer Widom
Frederick Emmons Terman Dean of the School of Engineering, Fletcher Jones Professor of Computer Science and Professor of Electrical Engineering
BioJennifer Widom is the Frederick Emmons Terman Dean of the School of Engineering and the Fletcher Jones Professor in Computer Science and Electrical Engineering at Stanford University. She served as Computer Science Department Chair from 2009-2014 and School of Engineering Senior Associate Dean from 2014-2016. Jennifer received her Bachelor's degree from the Indiana University Jacobs School of Music in 1982 and her Computer Science Ph.D. from Cornell University in 1987. She was a Research Staff Member at the IBM Almaden Research Center before joining the Stanford faculty in 1993. Her research interests span many aspects of nontraditional data management. She is an ACM Fellow and a member of the National Academy of Engineering and the American Academy of Arts & Sciences; she received a Guggenheim Fellowship in 2000, the ACM SIGMOD Edgar F. Codd Innovations Award in 2007, the ACM-W Athena Lecturer Award in 2015, and the EPFL-WISH Foundation Erna Hamburger Prize in 2018.
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Bernard Widrow
Professor of Electrical Engineering, Emeritus
Current Research and Scholarly InterestsProf. Widrow's research focuses on adaptive signal processing, adaptive control systems, adaptive neural networks, human memory, and human-like memory for computers. Applications include signal processing, prediction, noise cancelling, adaptive arrays, control systems, and pattern recognition. Recent work is about human learning at the synaptic level.
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Elizabeth Wig
Ph.D. Student in Electrical Engineering, admitted Autumn 2020
EE 258 Grader, Electrical Engineering - Student Services
Sr. Trip Leader, Recreation Adventure ProgramsBioHi, I’m Elizabeth Wig! I’m a PhD student in electrical engineering at Stanford, and I research how we can use radar remote sensing to understand more about processes on Earth. I work mainly on InSAR (interferometric synthetic aperture radar), which looks at how radar phase changes from one image to another to tell us how Earth is changing. I’m particularly interested in measuring how vegetation and soil moisture change in dynamic environments, like agricultural areas and permafrost regions. My favorite types of problems involve modeling how electromagnetic waves interact with their environment, and then combining those models with real-world data to learn more about the environment by analyzing the waves that pass through it.
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Keith Winstein
Associate Professor of Computer Science and, by courtesy, of Electrical Engineering
BioKeith Winstein is an associate professor of computer science and, by courtesy, of electrical engineering at Stanford University. His research group creates new kinds of networked systems by rethinking abstractions around communication, compression, and computing. Some of his group’s research has found broader use, including the Mosh tool, the Puffer video-streaming site, the Lepton compression tool, the Mahimahi network emulators, and the gg lambda-computing framework. He has received the SIGCOMM Rising Star Award, the Sloan Research Fellowship, the NSF CAREER Award, the Usenix NSDI Community Award (2020, 2017), the Usenix ATC Best Paper Award, the Applied Networking Research Prize, the SIGCOMM Doctoral Dissertation Award, and a Sprowls award for best doctoral thesis in computer science at MIT. Winstein previously served as a staff reporter at The Wall Street Journal and worked at Ksplice, a startup company (now part of Oracle) where he was the vice president of product management and business development and also cleaned the bathroom. He did his undergraduate and graduate work at MIT.
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Robin Linus
Ph.D. Student in Electrical Engineering, admitted Autumn 2024
BioCypherpunk | Bitcoin researcher | Creator of BitVM
Focusing on the scalability, privacy, and usability of Bitcoin.
https://robinlinus.com -
Christopher Wolters
Graduate Visiting Researcher Student, Electrical Engineering
BioChristopher Wolters is an M.Sc. candidate in Electrical and Computer Engineering at the Technical University of Munich (TUM). His research focuses on artificial intelligence, bio-inspired computing, and hardware-software co-design. He is currently a Visiting Student Researcher at Stanford University, where he works on AI computing architectures under the supervision of Prof. Subhasish Mitra and Prof. Ulf Schlichtmann.
Christopher has conducted research at the University of Tokyo on compute-in-memory architectures and at Duke University on neuromorphic hardware, and he completed academic training at ETH Zurich in Electrical and Computer Engineering. His accolades include the Max Weber Program scholarship by the German state, the Best Poster Award at MWSCAS 2023, and the NSF-CISE MWSCAS Student Award. -
H.-S. Philip Wong
Willard R. and Inez Kerr Bell Professor in the School of Engineering
BioH.-S. Philip Wong is the Willard R. and Inez Kerr Bell Professor in the School of Engineering at Stanford University. He joined Stanford University as Professor of Electrical Engineering in 2004. From 1988 to 2004, he was with the IBM T.J. Watson Research Center. From 2018 to 2020, he was on leave from Stanford and was the Vice President of Corporate Research at TSMC, the largest semiconductor foundry in the world, and since 2020 remains the Chief Scientist of TSMC in a consulting, advisory role.
He is a Fellow of the IEEE and received the IEEE Andrew S. Grove Award, the IEEE Technical Field Award to honor individuals for outstanding contributions to solid-state devices and technology, as well as the IEEE Electron Devices Society J.J. Ebers Award, the society’s highest honor to recognize outstanding technical contributions to the field of electron devices that have made a lasting impact.
He is the founding Faculty Co-Director of the Stanford SystemX Alliance – an industrial affiliate program focused on building systems and the faculty director of the Stanford Nanofabrication Facility – a shared facility for device fabrication on the Stanford campus that serves academic, industrial, and governmental researchers across the U.S. and around the globe, sponsored in part by the National Science Foundation. He is the Principal Investigator of the Microelectronics Commons California-Pacific-Northwest AI Hardware Hub, a consortium of over 40 companies and academic institutions funded by the CHIPS Act. He is a member of the US Department of Commerce Industrial Advisory Committee on microelectronics. -
S Simon Wong
Professor of Electrical Engineering, Emeritus
BioWong studies the fabrication and design of high-performance integrated circuits. His work focuses on understanding and overcoming the limitations of circuit performance imposed by device and technology.
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Bruce A. Wooley
The Robert L. and Audrey S. Hancock Professor in the School of Engineering, Emeritus
BioBruce Wooley is the Robert L. and Audrey S. Hancock Professor of Engineering, Emeritus, in the Department of Electrical Engineering at Stanford University. He received a Ph.D. degree in Electrical Engineering from the University of California, Berkeley in 1970, and from 1970 to 1984 he was a member of the research staff at Bell Laboratories in Holmdel, NJ. He joined the faculty at Stanford in 1984. At Stanford he has served as the Chair of the Department of Electrical Engineering, the Senior Associate Dean of Engineering and the Director of the Integrated Circuits Laboratory. His research is in the field of integrated circuit design, where his interests include low-power mixed-signal circuit design, oversampling analog-to-digital and digital-to-analog conversion, circuit design techniques for video and image data acquisition, high-speed embedded memory, high-performance packaging and testing, and circuits for wireless and wireline communications.
Prof. Wooley is a Fellow of the IEEE and a past President of the IEEE Solid-State Circuits Society. He has served as the Editor of the IEEE Journal of Solid-State Circuits and as the Chairman of both the International Solid-State Circuits Conference (ISSCC) and the Symposium on VLSI Circuits. Awards he has received include the University Medal from the University of California, Berkeley, the IEEE Journal of Solid-State Circuits Best Paper Award, the Outstanding Alumnus Award from the EECS Department at the University of California, Berkeley, and the IEEE Donald O. Pederson Award in Solid-State Circuits. -
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
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Jerry Yang
Ph.D. Student in Electrical Engineering, admitted Autumn 2020
Research Associate, Stanford Nano Shared Facilities Service CenterBioJerry A. Yang is a PhD student in electrical engineering at Stanford University. He received his BS in electrical engineering from the University of Texas at Austin and MA in Education from Stanford University. He currently works on strain engineering in two-dimensional materials in Prof. Eric Pop's lab. In addition, he works on equity issues in engineering education in Prof. Sheri Sheppard's Designing Education Lab. His research interests span novel materials, devices, and systems for next-generation computing, engineering education research methods, and critical theories in engineering education. He is a student member of the Institute for Electrical and Electronics Engineers (IEEE), Materials Research Society (MRS), and American Society of Engineering Education (ASEE).
