School of Engineering
Showing 41-60 of 71 Results
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Hyongsok Tom Soh
Professor of Radiology (Early Detection), of Electrical Engineering, of Bioengineering and, by courtesy, of Chemical Engineering
BioDr. 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
Director, Edward L. Ginzton Laboratory and Robert L. and 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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Daniel Spielman
Professor of Radiology (Radiological Sciences Lab) and, by courtesy, of Electrical Engineering
Current Research and Scholarly InterestsMy research interests are in the field of medical imaging, particularly magnetic resonance imaging and in vivo spectroscopy. Current projects include MRI and MRS at high magnetic fields and metabolic imaging using hyperpolarized 13C-labeled MRS.
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Kavya Sreedhar
Ph.D. Student in Electrical Engineering, admitted Autumn 2019
BioKavya is an electrical engineering PhD student advised by Mark Horowitz. She is interested in architecture design and developing hardware accelerators for machine learning and cryptography applications. Her current research explores how to efficiently accelerate the extended GCD computation for verifiable delay functions and modular inversion in cryptography. She previously worked with the Agile Hardware (AHA) Project in developing Lake, a parameterizable memory generator that can be configured at runtime to support different image processing and machine learning applications. She is supported by Stanford's Knight-Hennessy scholarship and received her B.S. in electrical engineering and BEM (Business, Economics, & Management) from Caltech in 2019 and her M.S. in electrical engineering from Stanford in 2021.
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Daniel Stanley
Ph.D. Student in Electrical Engineering, admitted Autumn 2018
BioDaniel is a PhD student currently working on tools for validating mixed-signal systems. He received his bachelor's degree from Princeton University in 2018. His research interests include designing analog and digital hardware as well as creating tools that make hardware design faster and easier.
