School of Engineering
Showing 3,401-3,500 of 6,587 Results
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Sze Chun Liu
Masters Student in Design, admitted Autumn 2025
BioWith a background in architecture from the Bartlett School of Architecture, UCL, and interdisciplinary research experience at the University of Hong Kong’s Healthy High-Density Cities Lab, Sze Chun works at the intersection of design and engineering to address complex human challenges. Current work focuses on the global issue of loneliness, emphasizing human-centered approaches that bridge disciplines, foster connection, and reimagine the role of technology in everyday life.
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Tianying Liu
Postdoctoral Scholar, Mechanical Engineering
BioDr. Tianying Liu is currently a Postdoctoral Scholar at Stanford University, focusing on the development of scalable, low-Iridium loading catalysts for cost-effective and durable PEM water electrolyzers. He earned his Ph.D. in Chemistry from Boston College in 2025, where his dissertation research investigated water oxidation mechanisms on Iridium dinuclear heterogeneous catalysts. During his doctoral studies, he served as an ALS Doctoral Fellow at Lawrence Berkeley National Laboratory, applying synchrotron-based ex situ and in situ soft X-ray absorption spectroscopy to uncover the structural dynamics of Iridium catalyst electrodes during water oxidation.
Before his doctoral work, Dr. Liu completed his M.S. and B.S. degrees in Materials Science and Engineering at Central South University. His earlier research experience includes developing Mo-based electrocatalysts for hydrogen evolution, engineering lithium-ion battery cathodes via atomic layer deposition at ShanghaiTech University, and characterizing molybdenum carbide catalysts as a visiting researcher at Northwestern University. His research interests broadly cover electrocatalysis, photoelectrochemistry, energy conversion, and materials design, with a strong focus on renewable energy applications. -
Dr Kelvin Liu
Research Scientist, Center for Sustainable Development and Global Competitiveness
BioDr. Kelvin Liu is a Research Scientist at Stanford University. He holds a Ph.D. in Engineering from the University of Cambridge and completed his postdoctoral research at the University of Chinese Academy of Sciences. He also obtained dual master’s degrees from the University of Cambridge and Johns Hopkins University. Dr. Liu has previously served as an Industrial Associate at the Institute for Manufacturing, University of Cambridge. He has also served as a Partner Expert with the United Nations Industrial Development Organization (UNIDO), a lecturer in UNIDO’s Eco-Design Leadership Program.
Dr. Kelvin Liu has led and participated in over 15 major research projects funded by the European Union, the UK’s Engineering and Physical Sciences Research Council (EPSRC). His research spans artificial intelligence, technology innovation, strategic management, and industrial sustainability. He has published more than 20 papers in SCI/SSCI-indexed journals, holds three invention patents, serves as a reviewer for multiple international journals, and has delivered over 20 invited talks at international conferences and university seminars. -
William Z Liu
Undergraduate, Computer Science
Undergraduate, MathematicsBioFrom Bellevue, WA.
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Irene Lo
Assistant Professor of Management Science and Engineering
BioIrene is an assistant professor in Management Science & Engineering at Stanford University. Her research is on designing matching markets and assignment processes to improve market outcomes, with a focus on public sector applications and socially responsible operations research. She is also interested in mechanism design for social good and graph theory.
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Michael LoCascio
Postdoctoral Scholar, Civil and Environmental Engineering
BioMichael's work focuses on wind energy at the intersection of computational fluid dynamics, controls, and optimization. He is interested in wake modeling, wind farm layout optimization, and large eddy simulations of wind farm flows. He is currently working on a low-cost model for the annual energy production of wind farms. Michael is also a graduate researcher at the National Wind Technology Center, a research facility of the National Renewable Energy Laboratory. He received his Master of Science in Mechanical Engineering from Stanford in 2023 and his Bachelor of Science in Mechanical Engineering from UCLA in 2020.
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Dr. Michael T. Longaker
Deane P. and Louise Mitchell Professor in the School of Medicine and Professor, by courtesy, of Materials Science and Engineering
Current Research and Scholarly InterestsWe have six main areas of current interest: 1) Cranial Suture Developmental Biology, 2) Distraction Osteogenesis, 3) Fibroblast heterogeneity and fibrosis repair, 4) Scarless Fetal Wound Healing, 5) Skeletal Stem Cells, 6) Novel Gene and Stem Cell Therapeutic Approaches.
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Samuel Low
Ph.D. Student in Aeronautics and Astronautics, admitted Winter 2023
Ph.D. Minor, Electrical EngineeringBioSamuel Low is a Ph.D. candidate in the Stanford Space Rendezvous Laboratory, advised by Professor Simone D'Amico. Sam graduated from Stanford with an M.S. in Aeronautics and Astronautics (2023) and from the Singapore University of Technology and Design (SUTD) with a B.Sc. in Engineering Product Development (2018). His broad interests are in the guidance, navigation, control and autonomy of distributed space systems, such as formations and swarm satellites. His research focus is on enabling precise and robust state estimation between distributed spacecraft, centered on sensor/data fusion with carrier phase differential GNSS, with immediate applications to flight missions such as the VISORS and SWARM-EX missions. He had worked previously in DSO National Laboratories, Singapore, on space mission design and on developing navigation algorithms for Singapore's first formation flying satellite mission. He received the DSO Postgraduate Fellowship (2021), the Tan Kah Kee Postgraduate Scholarship (2021), the DSO SOAR Scholarship (2017), and the Asian Leadership Program Scholarship (2015-2018) jointly awarded by SUTD and Zhejiang University. In his spare time, he enjoys photography, painting, and outdoor activities.
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Trevor Loy
Adjunct Lecturer, Management Science and Engineering
BioTrevor Loy is the Managing Partner and Founder of Flywheel Ventures, a seed- and early-stage venture capital firm that has invested in emerging startup ecosystems for more than twenty-five years.
As an Adjunct Lecturer at Stanford, Trevor teaches entrepreneurial management and finance in the Management Science & Engineering Department, where he is affiliated with the Stanford Technology Ventures Program, a research and teaching center he helped create as a graduate student. He also teaches professional and executive education programs for the Stanford Engineering Center for Global & Online Education, as well as for global companies, universities, governments, and sovereign wealth funds.
Trevor shapes venture capital and entrepreneurship policy as a former director of the National Venture Capital Association and a current member of its Board Alumni Council. He also served as Chair of VenturePAC, the venture capital industry's national political action committee, and is a frequent expert witness in private litigation and government policymaking worldwide.
Before founding Flywheel, Trevor held founding, executive, and technical roles at startups including Brooktree, Gigabeat, and ParkingNet, as well as at large tech firms such as Intel, Rockwell, and Teradyne.
He holds a BS and MS in Electrical Engineering and an MS in Management Science & Engineering, all from Stanford University. -
Lu Lu
Postdoctoral Scholar, Mechanical Engineering
BioDr. Lu Lu is currently a postdoctoral researcher at Stanford University. He received his B.S. and Ph.D. degrees from Ningbo University and Shanghai University in China in 2014 and 2019, respectively. He then worked as a postdoctoral researcher at Peking University from 2020 to 2022 before joining Stanford. His research interests focus on solid mechanics, with emphasis on mechanical instabilities, deployable structures, mechanics of intelligent soft materials, plate and shell theories, and nonlocal elasticity. He has published nearly 30 peer-reviewed papers in journals such as PNAS, JMPS, IJSS, AMR, IJMS, JAM, and PRSA, and received the ASME Melville Medal in 2024.
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David Luckham
Professor (Research) of Electrical Engineering, Emeritus
BioProfessor (Research) Emeritus of Electrical Engineering.
Research Professor of Electrical Engineering, Stanford University, 1977 to 2003.
Vinton Hayes Senior Research Fellow, Harvard University, 1976.
Senior Research Associate, Stanford Artificial Intelligence Laboratory, 1972-1977.
Associate Professor, UCLA Computer Science Department, 1970-1972.
Professor Luckham's research and consulting activities in software technology include multi-processing and business processing languages, event-driven systems, complex event processing, commercial middleware, program verification, systems architecture modelling and simulation, and artificial intelligence (automated deduction and reasoning systems).
Prof. Luckham has held faculty and invited faculty positions in both mathematics and computer science at eight major universities in Europe and the United States. He has been an invited lecturer, keynote speaker, panelist, and USA delegate at many international conferences and congresses. Until 1999 he was a member of the Computer Systems Laboratory, Stanford University and directed the Program Analysis and Verification Project. He taught courses on Artifical Intelligence and automated deduction, programming languages and program verification, the Anna verification system, systems prototyping and simulation languages, and Complex Event Processing. He was one of the founders of Rational Software, Inc. in 1981.
In the past he has served on review committees during the DoD Ada Language design competition, and was a Distinguished Reviewer on the DoD Ada9X design project. In 1993-94 he was a member of the TRW Independent Assessment Team tasked with reviewing the FAA's Advanced Automation System for the FAA, and in 1994-96 he was a distinguished reviewer for the DoD High Level Language for modelling and simulation. He has published four books and over 100 technical papers; two ACM/IEEE Best Paper Awards, several papers are now in historical anthologies and book collections. His 2002 book is a benchmark introduction to complex event processing, "The Power of Events" . His 2012 book , "Event Processing for Business" documents current applications of Complex Event Processing in many areas of Information Technology. -
David Luenberger
Professor of Management Science and Engineering, Emeritus
BioDavid G. Luenberger received the B.S. degree from the California Institute of Technology and the M.S. and Ph.D. degrees from Stanford University, all in Electrical Engineering. Since 1963 he has been on the faculty of Stanford University. He helped found the Department of Engineering-Economic Systems, now merged to become the Department of Management Science and Engineering, where his is currently a professor.
He served as Technical Assistant to the President's Science Advisor in 1971-72, was Guest Professor at the Technical University of Denmark (1986), Visiting Professor of the Massachusetts Institute of Technology (1976), and served as Department Chairman at Stanford (1980-1991).
His awards include: Member of the National Academy of Engineering (2008), the Bode Lecture Prize of the Control Systems Society (1990), the Oldenburger Medal of the American Society of Mechanical Engineers (1995), and the Expository Writing Award of the Institute of Operations Research and Management Science (1999) He is a Fellow of the Institute of Electrical and Electronic Engineers (since 1975).
Interests:
His overall interest is the application of mathematics to issues in control, planning, and decision making. He has worked in the technical fields of control theory, optimization theory and algorithms, and investment theory for portfolios and project evaluation. He has published six major textbooks: Optimization by Vector Space Methods, Linear and Nonlinear Programming (jointly with Yinyu Ye), Introduction to Dynamic Systems, Microeconomic theory, Investment Science, and Information Science. He has published over eighty journal papers.
