School of Engineering
Showing 2,301-2,350 of 6,799 Results
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Phillip Hoang
Graduate, Stanford Center for Professional Development
BioPhillip Hoang is an AI and Data Science leader with 20+ years of experience in real-time embedded systems, integrating technical depth with communication as an author and storyteller. He leads AI and data initiatives, drawing on a Master of Information and Data Science from UC Berkeley, a Master of Science in Computer Software Engineering, an MBA, and dual BS degrees in Computer Science and Electrical Engineering. His work focuses on deploying AI agents and large language models, building Python/ML pipelines from edge devices to the cloud, and translating advanced analytics into insights for engineering, finance, and real estate domains.
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Bernd Hofmann
Postdoctoral Scholar, Electrical Engineering
BioBernd Hofmann received the B.Eng. degree in electrical engineering from the Augsburg University of Applied Sciences, Augsburg, Germany, in 2015, and the M.Sc. and Dr.-Ing. degrees in electrical engineering from the Technical University of Munich (TUM), Munich, Germany, in 2017 and 2024, respectively.
From Jan. 2025 to Feb. 2026, he was a postdoctoral scholar at the University of Southern California, CA. Since Mar. 2026 he is a postdoctoral scholar with the Stanford University. His current research interests include computational electromagnetics, in particular, high-order accurate integral equation methods, and antenna near-field measurement techniques. -
Andrew Hong
Masters Student in Management Science and Engineering, admitted Autumn 2022
BioI study the intersection of machine learning and social sciences to better align tech with society and use computational methods to understand human behavior. My research focuses on building software and statistical methods to quantify fairness of various electoral voting systems. Now, I'm a Machine Learning Analyst in Google's Trust & Safety Team while finishing my Masters in Management Science & Engineering.
MS: Management Science & Engineering, concentration in computational social sciences
BA: Data Science & Social Systems, concentration in socio-political behavior analysis -
Guosong Hong
Assistant Professor of Materials Science and Engineering
Current Research and Scholarly InterestsGuosong Hong is a materials scientist developing materials-enabled photonic technologies for noninvasive imaging and neuromodulation in living systems. His research pioneers in vivo optical transparency and deep-tissue light-matter interactions, guided by fundamental principles in physics and chemistry, to enable new ways to visualize, modulate, and ultimately treat biological function in health and disease.
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Mark Horowitz
Fortinet Founders Chair of the Department of Electrical Engineering, Yahoo! Founders Professor in the School of Engineering and Professor of Computer Science
BioProfessor Horowitz initially focused on designing high-performance digital systems by combining work in computer-aided design tools, circuit design, and system architecture. During this time, he built a number of early RISC microprocessors, and contributed to the design of early distributed shared memory multiprocessors. In 1990, Dr. Horowitz took leave from Stanford to help start Rambus Inc., a company designing high-bandwidth memory interface technology. After returning in 1991, his research group pioneered many innovations in high-speed link design, and many of today’s high speed link designs are designed by his former students or colleagues from Rambus.
In the 2000s he started a long collaboration with Prof. Levoy on computational photography, which included work that led to the Lytro camera, whose photographs could be refocused after they were captured.. Dr. Horowitz's current research interests are quite broad and span using EE and CS analysis methods to problems in neuro and molecular biology to creating new agile design methodologies for analog and digital VLSI circuits. He remains interested in learning new things, and building interdisciplinary teams. -
Xuandi Hou
Postdoctoral Scholar, Materials Science and Engineering
BioXuandi Hou's research focuses on integrating nanotools and physical stimuli to gain insights into neural circuits and achieve precise remote manipulation of neural activity. His ultimate aspiration is to develop comprehensive toolkits that facilitate the exploration of the biophysical mechanisms underlying non-invasive transcranial ultrasound brain stimulation, offering applications in both neuroscience and neurology.
