School of Engineering
Showing 581-600 of 763 Results
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Karan P. Singh
Ph.D. Student in Electrical Engineering, admitted Autumn 2023
BioI am an incoming electrical engineering Ph.D. student and full-time post-baccalaureate researcher, currently advised by Dr. Kim Butts Pauly in the Department of Radiology. My research will be funded by the NSF Graduate Research Fellowship.
My lab works primarily in transcranial ultrasound neuromodulation, a non-invasive therapeutic modality with the potential to cure neurological diseases such as epilepsy, Alzheimer's, and even addiction. My primary focus at the moment is using machine learning, particularly sequence models, to improve therapy outcomes and efficiency.
Previously, I studied electrical engineering at Cal Poly SLO and was the youngest engineering graduate in the school's history. There, I worked with Dr. Benjamin Hawkins on microfluidics research examining the electrowetting effect.
Outside of academia, I enjoy playing the piano, badminton, working out, and cooking! I am also the co-founder and co-president of the Stanford Piano Society. -
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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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/
