School of Engineering
Showing 1-50 of 176 Results
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Lisa Yamada
Ph.D. Student in Electrical Engineering, admitted Autumn 2015
BioLisa Yamada is a PhD candidate in Electrical Engineering, working with Professor Paul Nuyujukian in the Brain Interfacing Laboratory at Stanford University. She is interested in applying data science and engineering tools for medical applications towards higher quality and more equitable care. As a computational neuroscientist and clinical research coordinator, she is currently investigating quantitative measures for seizure analyses using human neuroelectrophysiology data (e.g., intracortical EEGs of participants with refractory epilepsy). She graduated from Trinity College (Hartford, CT) with BS degrees in Electrical Engineering and Mathematics and earned her MS in Electrical Engineering from Stanford University. In her free time, she enjoys outdoor activities like hiking.
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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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Yusuke Yamashita
Postdoctoral Scholar, Aeronautics and Astronautics
BioYusuke Yamashita is a Postdoctoral Researcher of Aeronautics and Astronautics at Stanford University. He received a Ph.D. and M.S. in Aerospace Engineering and a Graduate Certificate in Engineering from the University of Tokyo, and B.S. in Aeronautics and Astronautics from Osaka Prefecture University. He obtained fellowship as a Japan Society for the Promotion of Science. His interests include electric propulsion, low-temperature plasmas, microwave and plasma interaction, and computational plasma physics. He received Second place award in student competition at International Electric Propulsion Conference, and Japanese Rocket Society Award at 33rd International Symposium on Space Technology and Science.
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Daniel Yamins
Assistant Professor of Psychology and of Computer Science
On Leave from 01/01/2023 To 03/31/2023Current Research and Scholarly InterestsOur lab's research lies at intersection of neuroscience, artificial intelligence, psychology and large-scale data analysis. It is founded on two mutually reinforcing hypotheses:
H1. By studying how the brain solves computational challenges, we can learn to build better artificial intelligence algorithms.
H2. Through improving artificial intelligence algorithms, we'll discover better models of how the brain works.
We investigate these hypotheses using techniques from computational modeling and artificial intelligence, high-throughput neurophysiology, functional brain imaging, behavioral psychophysics, and large-scale data analysis. -
Michael Yan
Undergraduate, Computer Science
Biohttps://michaelyan.com/
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Diyi Yang
Assistant Professor of Computer Science
BioDiyi Yang is an Assistant Professor in Computer Science at Stanford University. Professor Yang's research interests are Computational Social Science and Natural Language Processing. Her research goal is to understand the social aspects of language and then build socially aware NLP systems to better support human-human and human-computer interaction. Professor Yang received her PhD from the School of Computer Science, Carnegie Mellon University, and her bachelor's degree from Shanghai Jiao Tong University, China. Her work has received multiple best paper nominations or awards at ICWSM, EMNLP, SIGCHI, ACL, and CSCW. She is a recipient of Forbes 30 under 30 in Science, IEEE “AI 10 to Watch”, the Intel Rising Star Faculty Award, Microsoft Research Faculty Fellowship, and NSF CAREER Award.
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Fan Yang
Associate Professor of Orthopaedic Surgery and of Bioengineering
Current Research and Scholarly InterestsOur research seeks to understand how microenvironmental cues regulate stem cell fate, and to develop novel biomaterials and stem cell-based therapeutics for tissue engineering and regenerative medicine. Our work spans from fundamental science, technology development, to translational research.We are particularly interested in developing better therapies for treating musculoskeletal diseases, cardiovascular diseases and cancer.
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Jerry Yang
Ph.D. Student in Electrical Engineering, admitted Autumn 2020
Master of Arts Student in Education, admitted Winter 2022BioJerry 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. He currently works on strain engineering in two-dimensional materials in Prof. Eric Pop's lab. In addition, he works on exploring the role of internships in first-generation and low-income engineering students' professional identity development in Prof. Sheri Sheppard's Designing Education Lab. He is a member of the Institute for Electrical and Electronics Engineers (IEEE) as well as a student member of the American Society of Engineering Education.
Jerry's research interests span both engineering, education, and the intersection of engineering and education. In the engineering field, his research interests include novel two-dimensional materials for next-generation computing, quantum computing, and flexible/wearable devices. In the education field, he is interested in diversity, equity, and inclusion in engineering education, in particular the intersection of sociology, feminist theory, and queer theory and their applications to engineering education research methods and practice. -
Kevin G Yang
Undergraduate, Electrical Engineering
BioHi! I’m Kevin Yang.
