School of Engineering
Showing 631-640 of 814 Results
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Richelle Smith
Postdoctoral Scholar, Electrical Engineering
BioRichelle L. Smith is a Postdoctoral Scholar at Stanford University with Professor Tom Lee. She received the B.S. and M.S. degrees in Electrical Engineering-Electrophysics from the University of Southern California (USC) in 2017, and the M.S. and Ph.D. degrees in Electrical Engineering from Stanford University in 2019 and 2024, respectively.
Her research interests include analog/mixed-signal circuit design and energy-efficient systems, with a focus on phase-domain communications and computing. Recent projects encompass oscillatory computing for combinatorial optimization, quantum computing emulation with oscillator circuits, brain-inspired/neuromorphic circuit design, as well as wireline transceivers and phase-domain/edge modulation signaling.
She has acted as a technical consultant to Rambus Labs. She has held internship positions at Linear Technology, Rambus Labs, Stanford Brains in Silicon Lab, TDK-InvenSense, and Silicon Laboratories. She holds 5 U.S. patents. Dr. Smith serves as a Reviewer for IEEE Transactions on Circuits and Systems—Part I: Regular Papers, IEEE Transactions on Circuits and Systems—Part II: Express Briefs, and IEEE Journal on Emerging and Selected Topics in Circuits and Systems.
Selected Awards:
• SPOTLIGHT paper, IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), 2024
• IEEE Solid-State Circuits Society (SSCS) Predoctoral Achievement Award, 2022–2023
• ARCS Foundation Northern California Fellowship (William K. Bowes, Jr. Foundation Scholar), 2022–2024
• Cadence Women in Technology Scholarship, 2021
• Analog Devices Outstanding Student Designer Award, 2019
• Stanford Graduate Fellowship (Sang Samuel Wang Scholar), 2017–2022
• NSF Graduate Research Fellowship, 2017–2022
• USC Discovery Scholar Prize, 2017
• Astronaut Scholarship, 2016
• Barry Goldwater Scholarship, 2016
• Tau Beta Pi Forge No. 42 Scholarship, 2015
• Rambus Innovator of the Future Scholarship, 2013
• USC Trustee Full Tuition Scholarship, 2013–2017 -
Hyongsok Tom Soh
W. M. Keck Foundation Professor of Electrical Engineering, Professor of Radiology (Diagnostic Sciences Laboratory) and of Bioengineering
On Partial Leave from 04/01/2026 To 06/30/2026BioDr. Soh received his B.S. with a double major in Mechanical Engineering and Materials Science with Distinction from Cornell University and his Ph.D. in Electrical Engineering from Stanford University. From 1999 to 2003, Dr. Soh served as the technical manager of MEMS Device Research Group at Bell Laboratories and Agere Systems. He was a faculty member at UCSB before joining Stanford in 2015. His current research interests are in analytical biotechnology, especially in high-throughput screening, directed evolution, and integrated biosensors.
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Olav Solgaard
Audrey S. Hancock Professor in the School of Engineering
BioThe Solgaard group focus on design and fabrication of nano-photonics and micro-optical systems. We combine photonic crystals, optical meta-materials, silicon photonics, and MEMS, to create efficient and reliable systems for communication, sensing, imaging, and optical manipulation.
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Michael A. Sommeling
Ph.D. Student in Electrical Engineering, admitted Autumn 2024
Masters Student in Electrical Engineering, admitted Spring 2026
Student Assistant, Electrical EngineeringCurrent Research and Scholarly Interestsbrain-computer interface, electrophysiology, nanofabrication, retinal prosthesis
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Ethan Ruijian Song
Undergraduate, Electrical Engineering
Undergraduate, MusicBioTransfer EE Student from Duke.
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Shuran Song
Assistant Professor of Electrical Engineering and, by courtesy, of Computer Science
BioShuran Song is an Assistant Professor of Electrical Engineering at Stanford University. Before joining Stanford, she was faculty at Columbia University. Shuran received her Ph.D. in Computer Science at Princeton University, BEng. at HKUST. Her research interests lie at the intersection of computer vision and robotics. Song’s research has been recognized through several awards, including the Best Paper Awards at RSS’22 and T-RO’20, Best System Paper Awards at CoRL’21, RSS’19, and finalists at RSS, ICRA, CVPR, and IROS. She is also a recipient of the NSF Career Award, Sloan Foundation fellowship as well as research awards from Microsoft, Toyota Research, Google, Amazon, and JP Morgan.
To learn more about Shuran’s work, please visit: https://shurans.github.io/
