Electrical Engineering
Showing 261-280 of 352 Results
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David Shim
Ph.D. Student in Electrical Engineering, admitted Autumn 2024
Current Research and Scholarly InterestsComputer Architecture, Robust Computing, Formal Verification, Machine Learning
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Karan P. Singh
Ph.D. Student in Electrical Engineering, admitted Autumn 2023
Masters Student in Electrical Engineering, admitted Spring 2025BioI am a third-year electrical engineering PhD student and NSF Graduate Research Fellow in the Stanford Translational AI Lab (STAI), advised by Dr. Ehsan Adeli. I am broadly interested in applied ML, and am currently working on foundation models for functional MRI to better understanding aging and brain network interactions.
Previously, I was a post-baccalaureate researcher here at Stanford, where I applied machine learning to 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 during this time was using ML to improve therapy planning accuracy and efficiency. You can view more of my research on my website!
Outside of research, I enjoy playing the piano, badminton, calisthenics, and cooking! I am also a founder and president of the Stanford Piano Society. -
Michael A. Sommeling
Ph.D. Student in Electrical Engineering, admitted Autumn 2024
Current Research and Scholarly Interestsbrain-computer interface, electrophysiology, nanofabrication, retinal prosthesis
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Tom A.D. Stone
Ph.D. Student in Electrical Engineering, admitted Autumn 2025
Current Research and Scholarly InterestsEEG Signal Processing for Clinical Neuroscience
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Maxwell Bradley Strange
Ph.D. Student in Electrical Engineering, admitted Autumn 2018
BioMax is a Ph.D. student in Electrical Engineering advised by Mark Horowitz. His research focuses on developing infrastructure and tools to facilitate agile hardware development as part of the ongoing efforts by the Stanford AHA! Research Center. His research interests also include domain-specific hardware architectures, hardware/software co-design, and embedded systems design. He graduated from the University of Wisconsin in 2017 with a B.S. in Computer Engineering and Computer Science.
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Haotian Su
Ph.D. Student in Electrical Engineering, admitted Autumn 2022
BioHaotian Su is a Ph.D. candidate in Electrical Engineering at Stanford University, co-advised by Prof. Eric Pop and Prof. Shan X. Wang. He received his B.S. in EE from National University of Singapore (2022). His research focuses on developing novel materials and thin films for energy-efficient memories and computing, including magnetic random-access memory (MRAM), oxide transistors, and other nanoscale devices.
