School of Engineering
Showing 201-250 of 277 Results
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Yiwen Dong
Postdoctoral Scholar, Computer Science
BioYiwen Dong is a postdoc fellow at the Stanford Institute of Human-Centered Artificial Intelligence (HAI). Her research interest is human behavior characterization and health monitoring through their interactions with the physical environment. Her current work focuses on human and animal health monitoring through gait-induced floor vibrations.
While buildings are traditionally considered as passive and indifferent, her works allow the buildings to be both self-aware and user-aware. Yiwen developed systems that utilize ambient structural vibrations to infer human behaviors and health status, which enables many smart building applications such as in-home patient monitoring and elder care, intruder prevention and occupant management, animal health monitoring, and welfare. She strives for the next-generation intelligent infrastructures by exploring the potential of structural monitoring for human-centered purposes.
Yiwen has an interdisciplinary background in civil engineering, electrical engineering, and AI. Yiwen received her Master’s degree in Structural Engineering at Stanford University and her Bachelor’s degree in civil engineering at Nanyang Technological University. She won various awards (Best Paper Award, runner-ups in competitions) in ubiquitous computing and cyber-physical system conferences. She is passionate about combining the physical knowledge from the living environments, sensing approaches from cyber-physical systems, and data-driven models from machine learning to infer people’s behavior patterns and health status. -
David Donoho
Anne T. and Robert M. Bass Professor in the School of Humanities and Sciences
BioDavid Donoho is a mathematician who has made fundamental contributions to theoretical and computational statistics, as well as to signal processing and harmonic analysis. His algorithms have contributed significantly to our understanding of the maximum entropy principle, of the structure of robust procedures, and of sparse data description.
Research Statement:
My theoretical research interests have focused on the mathematics of statistical inference and on theoretical questions arising in applying harmonic analysis to various applied problems. My applied research interests have ranged from data visualization to various problems in scientific signal processing, image processing, and inverse problems. -
Siddharth Doshi
Ph.D. Student in Materials Science and Engineering, admitted Autumn 2019
Masters Student in Materials Science and Engineering, admitted Winter 2025BioSiddharth is a PhD student in Materials Science at Stanford University, where he is a Meta PhD Fellow working with Mark Brongersma and Nicholas Melosh. His research is focused on developing electrically tunable active optical metasurfaces using soft polymers, enabling applications ranging from on-the-fly reconfigurable optical computing devices to wearable photonics. Previously, he received his Bachelor's degree in Engineering from the University of New South Wales (Sydney, Australia) and spent time in industry designing award-winning consumer products.
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Jonathan Dotan
Program Coordinator, Electrical Engineering
Staff, Program-Weissman T.BioJonathan Dotan is the founding director of The Starling Lab at Stanford University and USC, where he leads applied research on the decentralized web and human rights. For over 20 years, he’s navigated the intersections of media, tech, and policy as a tech founder.
Jonathan is a fellow at Stanford’s Center for Blockchain Research and Compression Forum, where he is researching strategy and policy for distributed ledger technologies. His scholarship examines Internet governance frameworks, the transition to Web 3.0 and the prospects for a more decentralized internet.
He lectures at Stanford’s School of Engineering and Graduate School of Business. Jonathan’s teaching asks students to consider the never-simple relationship between innovation and progress — recognizing how each new technology brings choices and responsibilities. -
Persis Drell
Provost, Emerita, James and Anna Marie Spilker Professor, Professor of Materials Science and Engineering and of Physics
BioPersis Drell is the James and Anna Marie Spilker Professor in the School of Engineering, a professor of materials science and engineering, and a professor of physics. From Feb 1, 2017 to Sept. 30, 2023, Drell was the provost of Stanford University.
Prior to her appointment as provost in February 2017, she was dean of the Stanford School of Engineering from 2014 to 2017 and director of U.S. Department of Energy SLAC National Acceleratory Laboratory from 2007 to 2012.
She earned her bachelor’s degree in mathematics and physics from Wellesley College and her PhD in atomic physics from UC Berkeley. Before joining the faculty at Stanford in 2002, she was a faculty member in the physics department at Cornell University for 14 years. -
Leora Dresselhaus-Marais
Assistant Professor of Materials Science and Engineering, of Photon Science and, by courtesy, of Mechanical Engineering
Current Research and Scholarly InterestsMy group develops new methods to update old processes in metals manufacturing
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Ron Dror
Cheriton Family Professor and Professor, by courtesy, of Structural Biology and of Molecular & Cellular Physiology
Current Research and Scholarly InterestsMy lab’s research focuses on computational biology, with an emphasis on 3D molecular structure. We combine two approaches: (1) Bottom-up: given the basic physics governing atomic interactions, use simulations to predict molecular behavior; (2) Top-down: given experimental data, use machine learning to predict molecular structures and properties. We collaborate closely with experimentalists and apply our methods to the discovery of safer, more effective drugs.
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Shaul Druckmann
Associate Professor of Neurobiology, of Psychiatry and Behavioral Sciences and, by courtesy, of Electrical Engineering
Current Research and Scholarly InterestsOur research goal is to understand how dynamics in neuronal circuits relate and constrain the representation of information and computations upon it. We adopt three synergistic strategies: First, we analyze neural circuit population recordings to better understand the relation between neural dynamics and behavior, Second, we theoretically explore the types of dynamics that could be associated with particular network computations. Third, we analyze the structural properties of neural circuits.
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John Duchi
Associate Professor of Statistics, of Electrical Engineering and, by courtesy, of Computer Science
Current Research and Scholarly InterestsMy work spans statistical learning, optimization, information theory, and computation, with a few driving goals: 1. To discover statistical learning procedures that optimally trade between real-world resources while maintaining statistical efficiency. 2. To build efficient large-scale optimization methods that move beyond bespoke solutions to methods that robustly work. 3. To develop tools to assess and guarantee the validity of---and confidence we should have in---machine-learned systems.
