School of Engineering
Showing 101-200 of 234 Results
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Hawa Racine Thiam
Assistant Professor of Bioengineering
Current Research and Scholarly InterestsCellular Biophysical Mechanisms of Innate Immune Cells Functions
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James Thomas
Research Asst - Graduate, Electrical Engineering - Computer Systems Laboratory
BioI am a PhD student interested in more productive methods for creating FPGA designs and ASICs for the datacenter.
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Sebastien Tilmans
Adjunct Professor, Civil and Environmental Engineering
BioSebastien is the Executive Director at the Codiga Resource Recovery Center at Stanford University, a test-bed facility dedicated to accelerating the scale-up of innovative resource recovery systems. Prior to joining Stanford, he worked in the Process Engineering group at Oceanside Wastewater Treatment Plant for the San Francisco Public Utilities Commission. He has also designed and implemented several decentralized anaerobic wastewater treatment systems in Panama, and a waterless sanitation service in Haiti. He holds a PhD in Environmental Engineering from Stanford University, and a B.E. in Civil Engineering from Cooper Union. He was a Fulbright scholar, an NDSEG fellow, and an EPA STAR fellow.
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Fouad Tobagi
Professor of Electrical Engineering
BioTobagi works on network control mechanisms for handling multimedia traffic (voice, video and TCP- based applications) and on the performance assessment of networked multimedia applications using user-perceived quality measures. He also investigates the design of wireless networks, including QoS-based media access control and network resource management, as well as network architectures and infrastructures for the support of mobile users, all meeting the requirements of multimedia traffic. He also investigates the design of metropolitan and wide area networks combining optical and electronic networking technologies, including topological design, capacity provisioning, and adaptive routing.
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Alexander Toews
Ph.D. Student in Electrical Engineering, admitted Autumn 2017
Current Research and Scholarly InterestsMagnetic resonance imaging, computational imaging
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Jeffrey B. Tok
Laboratory Director, Chemical Engineering
BioEducation:
The University of Washington, Seattle, WA, B.Sc. (Chemistry & Biochemistry), 1989-1992
The University of Chicago, Chicago, IL, Ph.D. (Bioorganic Chemistry), 1992-1996
Harvard University, Boston, MA, Postdoctoral Research Fellow (Bioorganic Chemistry), 1997-1999
Work Experience:
Assistant Professor, City University of New York, York College and Graduate Center, 1999-2003
Associate Professor, City University of New York, York College and Graduate Center, 2003-2004
Principal Scientist (Indefinite), Lawrence Livermore National Laboratory, 2004-2008
Chief BioScientist, Micropoint Bioscience Inc, 2008-2010
Senior Research Engineer/Scientist, Stanford University, 2010-present
Director, Uytengsu Teaching Center, Shriram Center, 2015-present
Manager, Soft & Hybrid Materials Shared Facility, Stanford Nano Shared Facility, 2010-present
Manager & Instructor, Dept of Chemical Engineering Teaching Lab, 2010-present
Research Activities:
'Google Scholar' link: https://scholar.google.com/citations?user=hXSGJC0AAAAJ&hl=en&oi=sra
Soft & Hybrid Materials Facility (SMF) link:
https://snsf.stanford.edu/equipment/smf/index.html -
Vinh Ton
Masters Student in Computer Science, admitted Autumn 2017
BioVinh Tôn is a software developer who: 1) studied Symbolic Systems as a 2020 undergraduate at Stanford University, exploring the relationship between systems of information processing e.g: natural language, the human mind, and artificial intelligence systems and 2) studied computer science as a master's student, specializing in human-computer interaction, identifying and designing human-centered digital solutions for real world problems, with a focus on community mental health. They are passionate about the intersection of technology and accessible service for marginalized communities, and they actively engage in various social impact projects using my skillset. They have acted as a teaching fellow for PSYCH1: Introduction to Psychology, a teaching assistant for PSYCH50: Introduction to Cognitive Neuroscience, and a course assistant for CS247S: Service Design. More information can be found about Vinh on their website: https://vinhton.com.
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Niccolo Tonicello
Postdoctoral Scholar, Mechanical Engineering
BioNiccolò Tonicello graduated at University of Padova in 2015 in Aerospace Engineering and subsequently continued his studies on numerical methods for fluid dynamics pursuing a Master of Science in Mathematical Engineering at the same institution. He obtained his Ph.D. at the University of Rouen (France) with a thesis on HIgh-order Spectral Element Methods for Compressible Turbulent Flows under the supervision of professors Luc Vervisch and Guido Lodato. After the conclusion of his Ph.D. in 2021, he obtained a short-term fellowship at Scuola Internazionale di Studi Superiori Avanzati in Trieste (Italy) focused on Reduced-Order Models for Compressible Flows in the group of professor Gianluigi Rozza. Finally, in January 2022 he started a post-doctoral fellowship at Stanford on high-fidelity numerical simulation of hypersonic flows in the group of professor Matthias Ihme.
He has published in a variety of international peer-reviewed scientific journals of computational fluid dynamics, including the Journal of Fluid Mechanics, Journal of Scientific Computing and Computer & Fluids. -
Christopher Torng
Postdoctoral Scholar, Electrical Engineering
BioChristopher Torng is a Postdoctoral Researcher in Electrical Engineering at Stanford University working with Mark Horowitz. He received his Ph.D. degree in 2019, M.S. degree in 2016, and B.S degree in 2012 in Electrical and Computer Engineering from Cornell University. Chris's research approach addresses cross-cutting concerns across software, architecture, and VLSI. His activities have resulted in a selection as a Rising Star in Computer Architecture (2018) by Georgia Tech and an IEEE MICRO Top Pick from Hot Chips (2018). He has also been involved with six research test chips that support his research, and he was the project or university lead for three of the chips.
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Joseph D. Towles, PhD
Lecturer
BioJoseph Towles is a Lecturer jointly appointed in the Mechanical Engineering and Bioengineering Departments at Stanford University. Joe’s teaching interests are in the areas of solid mechanics, neuromuscular biomechanics, dynamical systems and control, and engineering design. His scholarship interests are in the areas of neuromuscular biomechanics and educational practices in engineering.
A Mechanical Engineer by training, Joe earned his BS degree in Mechanical Engineering from the University of Maryland Baltimore County and his MS and PhD degrees both in Mechanical Engineering from Stanford University (1996-2003). Following graduate school, Joe was a research post-doctoral fellow and subsequently a research scientist and then a research assistant professor in neuromuscular biomechanics in the Sensory Motor Performance Program at the Rehabilitation Institute of Chicago and in the Physical Medicine and Rehabilitation Department at Northwestern University (2003-2012). Additionally, Joe was a research health scientist for the Rehabilitation R&D Service in the Department of Veterans Affairs (Hines, IL) during that time and later a scientist in the neuromuscular biomechanics lab in the Mechanical Engineering Department at the University of Wisconsin-Madison (2012-2014). At the time, Joe led projects that addressed the broad question of how to restore hand function (ability to grasp objects) following cervical spinal cord injury and hemiparetic stroke using experimental and computational techniques in biomechanics. As a complement to intensively teaching within the undergraduate and graduate curricula in Biomedical Engineering at the University of Wisconsin-Madison (2014-2018), and now teaching intensively and broadly within the undergraduate curricula of Mechanical Engineering and Bioengineering at Stanford, Joe's scholarship interests include both biomechanics and educational practices in engineering. Recent educational projects have investigated factors that influence K-12 students' engagement/interest in bioengineering, integration of CATME into an undergraduate mechanical engineering design course that enhances student experience and performance, analytical tool for improving intra- and inter-team communication in an engineering design course, and factors important for teaching undergraduate students how to identify healthcare needs worth pursuing in the context of health technology innovation efforts. -
George Toye
Adjunct Professor
BioGeorge Toye, Ph.D., P.E., is adjunct professor in Mechanical Engineering at Stanford University.
While teaching advanced project-based engineering design thinking and STEM-based innovations at the graduate level as part of ME310, he also contributes to research in varied topics in engineering education, and effective globally-distributed team collaborations. As well, he remains active in entrepreneurship and varied advising/consulting work.
George earned his B.S. and M.S. degrees in Mechanical Engineering from U.C. Berkeley, and Ph.D. in Mechanical Engineering with minor in Electrical Engineering from Stanford University.
Since 1983, he has enjoyed volunteering annually to organize regional and state-level Mathcounts competitions to promote mathematics education amongst middle-school aged students. -
Caroline Trippel
Assistant Professor of Computer Science and of Electrical Engineering
BioCaroline Trippel is an Assistant Professor in the Computer Science and Electrical Engineering Departments at Stanford University working in the area of computer architecture. Prior to starting at Stanford, Trippel spent nine months as a Research Scientist at Facebook in the FAIR SysML group. Her work focuses on promoting correctness and security as first-order computer systems design metrics (akin to performance and power). A central theme of her work is leveraging formal methods techniques to design and verify hardware systems in order to ensure that they can provide correctness and security guarantees for the applications they intend to support. Additionally, Trippel has been recently exploring the role of architecture in enabling privacy-preserving machine learning, the role of machine learning in hardware systems optimizations, particularly in the context of neural recommendation, and opportunities for improving datacenter and at-scale machine learning reliability.
Trippel's research has influenced the design of the RISC-V ISA memory consistency model both via her formal analysis of its draft specification and her subsequent participation in the RISC-V Memory Model Task Group. Additionally, her work produced a novel methodology and tool that synthesized two new variants of the now-famous Meltdown and Spectre attacks.
Trippel's research has been recognized with IEEE Top Picks distinctions, the 2020 ACM SIGARCH/IEEE CS TCCA Outstanding Dissertation Award, and the 2020 CGS/ProQuest® Distinguished Dissertation Award in Mathematics, Physical Sciences, & Engineering. She was also awarded an NVIDIA Graduate Fellowship (2017-2018) and selected to attend the 2018 MIT Rising Stars in EECS Workshop. Trippel completed her PhD in Computer Science at Princeton University and her BS in Computer Engineering at Purdue University. -
Nick Troccoli
Lecturer
BioNick Troccoli is a Lecturer in the Stanford Computer Science Department. He started as a full-time lecturer at Stanford in Fall 2018, after graduating from Stanford in June 2018 with Bachelor's and Master's Degrees in Computer Science. During his undergraduate career, he specialized in Systems, and during his graduate career he specialized in Artificial Intelligence. He was heavily involved in teaching as both an undergraduate and graduate student; he was an undergraduate Section Leader in the CS 198 Section Leading Program, a graduate CA (Course Assistant) for CS 181, the Head TA for CS 106A and CS 106B, and the summer 2017 instructor for CS 106A. In 2017 he was awarded the Forsythe Teaching Award and the Centennial TA Award for excellence in teaching.
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Leonard Truong
Ph.D. Student in Computer Science, admitted Autumn 2016
BioLenny is a Computer Science Ph.D. Candidate advised by Pat Hanrahan and affiliated with the AHA! Agile Hardware Center. His research interests lie at the intersection of programming languages, compilers, and hardware design. Before joining the Stanford, Lenny was an undergraduate at UC Berkeley advised by Armando Fox and working with the ASPIRE Lab on building domain specific languages and specialized, just-in-time compilers.
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Stephen Tsai
Professor (Research) of Aeronautics and Astronautics, Emeritus
BioProfessor Tsai's research interest is in the development of design methodology of composite materials and structures. As an emerging technology, composite materials offer unique performances for structures that combine light weight with durability. Keys to the successful utilization of composite materials are predictability in performance and cost effective design of anisotropic, laminated structures. Current emphasis is placed on the understanding of failure modes, and computer simulation for design and cost estimation.
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Yi-Lin Tsai
Ph.D. Student in Civil and Environmental Engineering, admitted Winter 2018
BioYi-Lin Tsai is a Ph.D. Candidate in the Department of Civil and Environmental Engineering at Stanford University. His research focuses on natural disaster mitigation and management, especially on flooding.
