School of Engineering
Showing 151-200 of 205 Results
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Emily Fox
Professor of Statistics and of Computer Science
BioEmily Fox is a Professor in the Departments of Statistics and Computer Science at Stanford University. Prior to Stanford, she was the Amazon Professor of Machine Learning in the Paul G. Allen School of Computer Science & Engineering and Department of Statistics at the University of Washington. From 2018-2021, Emily led the Health AI team at Apple, where she was a Distinguished Engineer. Before joining UW, Emily was an Assistant Professor at the Wharton School Department of Statistics at the University of Pennsylvania. She earned her doctorate from Electrical Engineering and Computer Science (EECS) at MIT where her thesis was recognized with EECS' Jin-Au Kong Outstanding Doctoral Thesis Prize and the Leonard J. Savage Award for Best Thesis in Applied Methodology.
Emily has been awarded a CZ Biohub Investigator Award, Presidential Early Career Award for Scientists and Engineers (PECASE), a Sloan Research Fellowship, ONR Young Investigator Award, and NSF CAREER Award. Her research interests are in modeling complex time series arising in health, particularly from health wearables and neuroimaging modalities. -
Curtis Frank
W. M. Keck, Sr. Professor in Engineering, Emeritus
BioThe properties of ultrathin polymer films are often different from their bulk counterparts. We use spin casting, Langmuir-Blodgett deposition, and surface grafting to fabricate ultrathin films in the range of 100 to 1000 Angstroms thick. Macromolecular amphiphiles are examined at the air-water interface by surface pressure, Brewster angle microscopy, and interfacial shear measurements and on solid substrates by atomic force microscopy, FTIR, and ellipsometry. A vapor-deposition-polymerization process has been developed for covalent grafting of poly(amino acids) from solid substrates. FTIR measurements permit study of secondary structures (right and left-handed alpha helices, parallel and anti-parallel beta sheets) as a function of temperature and environment.
A broadly interdisciplinary collaboration has been established with the Department of Ophthalmology in the Stanford School of Medicine. We have designed and synthesized a fully interpenetrating network of two different hydrogel materials that have properties consistent with application as a substitute for the human cornea: high water swellability up to 85%,tensile strength comparable to the cornea, high glucose permeability comparable to the cornea, and sufficient tear strength to permit suturing. We have developed a technique for surface modification with adhesion peptides that allows binding of collagen and subsequent growth of epithelial cells. Broad questions on the relationships among molecular structure, processing protocol, and biomedical device application are being pursued. -
Antony Fraser-Smith
Professor (Research) of Electrical Engineering and of Geophysics, Emeritus
BioFraser-Smith's research focuses on the use of low frequency electromagnetic fields, both as a means of probing (1) the interior of the earth, and (2) the space environment near the earth, as well as for communicating with, and detecting, objects submerged in the sea or buried in the earth, and for detecting changes taking place in the Earth and the near-Earth space environment.
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David Freyberg
Associate Professor of Civil and Environmental Engineering and Senior Fellow at the Woods Institute for the Environment
Current Research and Scholarly InterestsMy students and I study sediment and water balances in aging reservoirs, collaborative governance of transnational fresh waters, the design of centralized and decentralized wastewater collection, treatment, and reuse systems in urban areas, and hydrologic ecosystem services in urban areas and in systems for which sediment production, transport, and deposition have significant consequences.
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Oliver Fringer
Professor of Civil and Environmental Engineering and of Oceans
BioFringer's research focuses on the development and application of numerical models and high-performance computational techniques to the study of fundamental processes that influence the dynamics of the coastal ocean, rivers, lakes, and estuaries.
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Renate Fruchter
Director of PBL Lab
Current Research and Scholarly InterestsCognitive demands on global learners, VR in teamwork, Sustainability, Wellbeing
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Ernestine Fu
Lecturer, Civil and Environmental Engineering
BioDr. Ernestine Fu is Co-Director of Stanford Frontier Technology Lab. She has taught interdisciplinary courses across engineering and medicine: MED/CEE 214 Frontier Technology: Understanding and Preparing for Technology in the Next Economy, CEE 144 Design and Innovation for the Circular Economy, CEE 326 Autonomous Vehicles Studio, MS&E 476 Entrepreneurship Through the Lens of Venture Capital, and MS&E 477 Silicon Valley and the U.S. Government.
Ernestine is General Partner at Brave Capital. Over the past decade, she has worked across the startup ecosystem, from negotiating merger and acquisition agreements, to organizing SPVs for later-stage companies, to angel investing in and advising companies that have since been acquired, to advising banks on venture debt. Alongside her role at Brave Capital, she is also a Venture Partner at ALP, where she started her career and has guided founders as they navigate the journey to product-market fit and scale their businesses and teams.
Ernestine is a strong advocate for active citizen participation in our democracy. After starting a nonprofit to serve the community through music and art, she co-authored “Civic Work, Civic Lessons” with former Stanford Law School Dean Thomas Ehrlich to encourage civic engagement. She also co-authored “Renewed Energy” with IPCC major contributor John Weyant to guide government policy and investment strategies for a sustainable future. She has served as a board director and advisor to nonprofits such as Ad Council, California 100, Presidio Institute, and Silicon Valley Leadership Group Foundation.
She completed her B.S., M.S., MBA, Ph.D. and postdoc at Stanford University. Graduating with Tau Beta Pi and Phi Beta Kappa honors, she was awarded the Kennedy Prize for the top undergraduate thesis in engineering and the Terman Award as one of the top thirty graduating seniors in engineering. Her doctoral thesis focused on human operator and autonomous vehicle interactions with system bias and transitions of control. She is an inventor on numerous granted or in-process technology patents.
She is a proud part of a military family. -
Zipeng Fu
Ph.D. Student in Computer Science, admitted Autumn 2022
BioZipeng Fu is a CS PhD student at Stanford AI Lab, advised by Chelsea Finn. His research focuses on deployable robot systems and learning in the unstructured open world. His representative work includes Mobile ALOHA, Robot Parkour Learning, and RMA, receiving CoRL 2023 & 2022 Best System Finalist awards. His research is supported by Stanford Graduate Fellowship as a Pierre and Christine Lamond Fellow. Previously, he was a student researcher at Google DeepMind. He completed his master's at CMU and bachelor’s at UCLA. Homepage: https://zipengfu.github.io/
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Hajime Fujita
Ph.D. Student in Bioengineering, admitted Autumn 2022
Masters Student in Bioengineering, admitted Spring 2024Current Research and Scholarly InterestsBiosensors