School of Engineering
Showing 1-20 of 20 Results
Assistant Professor of Computer Science
Current Research and Scholarly InterestsTheoretical computer science, with an emphasis on complexity theory
Associate Professor of Mechanical Engineering, Senior Fellow at the Woods Institute for the Environment and Professor, by courtesy, of Radiology (Precision Health and Integrated Diagnostics)
Current Research and Scholarly InterestsThe long-term goal of Dr. Tang's research program is to harness mass transport in microfluidic systems to accelerate precision medicine and material design for a future with better health and environmental sustainability.
Current research areas include: (I) Physics of droplets in microfluidic systems, (II) Interfacial mass transport and self-assembly, and (III) Applications in food allergy, single-cell wound repair, and the bottom-up construction of synthetic cell and tissues in close collaboration with clinicians and biochemists at the Stanford School of Medicine, UCSF, and University of Michigan.
For details see https://web.stanford.edu/group/tanglab/
William Abraham Tarpeh
Assistant Professor of Chemical Engineering, by courtesy, of Civil and Environmental Engineering and Center Fellow, by courtesy, at the Woods Institute for the Environment
BioReimagining liquid waste streams as resources can lead to recovery of valuable products and more efficient, less costly approaches to reducing harmful discharges to the environment. Pollutants in effluent streams can be captured and used as valuable inputs to other processes. For example, municipal wastewater contains resources like energy, water, nutrients, and metals. The Tarpeh Lab develops and evaluates novel approaches to resource recovery from “waste” waters at several synergistic scales: molecular mechanisms of chemical transport and transformation; novel unit processes that increase resource efficiency; and systems-level assessments that identify optimization opportunities. We employ understanding of electrochemistry, separations, thermodynamics, kinetics, and reactor design to preferentially recover resources from waste. We leverage these molecular-scale insights to increase the sustainability of engineered processes in terms of energy, environmental impact, and cost.
Obayashi Professor in the School of Engineering, Emeritus
BioTatum's teaching interests are construction engineering and technical construction. His research focuses on construction process knowledge and integration and innovation in construction.
Professor of Energy Resources Engineering
Current Research and Scholarly InterestsCurrent research activities include: (1) modeling unstable miscible and immiscible flows in heterogeneous formations, (2) developing multiscale formulations and scalable linear/nonlinear solution algorithms for multiphase flow in large-scale subsurface systems, and (3) developing stochastic approaches for quantifying the uncertainty associated with predictions of subsurface flow performance.
Hawa Racine Thiam
Assistant Professor of Bioengineering
Current Research and Scholarly InterestsCellular Biophysical Mechanisms of Innate Immune Cells Functions
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.
Joseph D. Towles, PhD
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.
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.
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.
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.
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.
Associate Professor of Management Science and Engineering
BioProfessor Tse received his BS, MS, and Ph.D. in Electrical Engineering from Massachusetts Institute of Technology. He is the Director of Asia Center of Management Science and Engineering, which has the charter of developing executive training programs for executives in Asian enterprises, conducting research on development of the emerging economy in Asia and establishing research affiliations with Asian enterprises, with a special focus in Greater China: China, Hong Kong, and Taiwan.
In 1973, he received the prestigious Donald Eckman Award from the American Automatic Control Council in recognition of his outstanding contribution in the field of Automatic Control. He had served as an Associate Editor of the IEEE Transactions of Automatic Control, and a co-editor of the Journal of Economic Dynamics and Control, which he co-founded. In recent years he dedicated his research effort in dynamic entrepreneurial strategy and transformation of Chinese production economy to innovation economy. He developed a significant theory on innovation synergistic to Chinese culture and its application to China industry transformation. Over the years he has made valuable contributions in the field of engineering, economics, and business creation and expansion. He has published over 180 papers on his research activities. Since March 2003, he has been teaching his new found theory on China innovation and Industry Transformation to high level Chinese government officials and Chinese executives.
Since 2007, he co-directed a Stanford Financial Engineering Certificate Program in Hong Kong that upgrades the quality of managers and traders in the financial institutions in Hong Kong. Since 2009, he co-directed a Stanford program on Regional Industry Transformation and Public Administration that was attended by city officials from various cities in China, and directs a Stanford program on Chinese Industry Transformation and Innovation that was attended by executives from Chinese enterprises. Prof. Tse is the author of over 150 articles in the fields of systems and control. He received the 1973 Donald P. Eckman Award for outstanding achievement in the field of automatic control. Prior to joining the Stanford faculty, he worked at Systems Control, Inc., where he formulated and solved numerous problems in defense, electric power, forecasting and marketing.
At Stanford, he has developed computer integrated systems to support fishery management policy decisions, management and control of the manufacturing enterprise, and industrial competitive analysis and product development. He is currently conducting research on building core competence within an enterprise to gain competitive advantage. He established the Journal of Economic Dynamics and Control and is now a member of its Advisory Board. His national society memberships include the Econometric Society, IEEE, ORSA, and TIMS. Tse developed a framework for analyzing dynamic competitive strategy based on a dynamic model of grabber-holder dynamics that describes the forces that would shape the formation of an ecosystem supporting an exciting vision. Within such a framework, he developed dynamic strategies for firms entering an emerging market, latecomers that want to wedge into a matured market, and firms that need to turn danger into opportunities. Tse’s recent interests are in extending the theory to analyzing the dynamic competition in network economy, regional technology center development, and applying the theory of dynamic strategies to the wireless, airport, real estate, and financial industries in China.