School of Engineering
Showing 201-300 of 568 Results
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Charles Shao
Affiliate, Stanford Center For Position, Navigation and Time (SCPNT)
BioA seasoned entrepreneur and senior executive with multiple start-up enterprises in Silicon Valley and China. As co-founder, vp engineering, CTO of Easyway Company Limited, design and implement a Chinese high-speed rail passenger transit service system. As a founding team member, start-up EPIN Technologies, Inc., ServGate Technologies, Inc., NetScreen Technologies, Inc. between 1996 ~ 2006.
Research fellow and deputy director, center for high-speed rail technology (CHRT), Tsinghua University. Managed R&D projects for China's high-speed rail system since 2006; Initiated “Introduction for High-Speed Rail Technologies” class at California State University, Bakersfield.
Venture partner of TEEC Angel Fund in Palo Alto. General partner of TSVC fund.
BSEE, MSEE, Lecturer/Assistant Professor at Tsinghua University following with visiting scholar at University of California San Diego during 1980 ~ 1993. First prize winner of Rail Technologies Awards by China Railway Society. -
Yanjie Shao
Assistant Professor of Electrical Engineering
BioYanjie Shao joined Stanford University as an Assistant Professor of Electrical Engineering in August 2026. He received his Ph.D. in Electrical Engineering from the Massachusetts Institute of Technology (MIT) and his B.S. in Physics from the University of Science and Technology of China (USTC). His research develops advanced semiconductor materials, devices, and integrated systems for energy-efficient information processing, with a particular focus on CMOS-compatible technologies, three-dimensional electronics, and nanoscale transport physics. His work integrates materials synthesis, nanofabrication, device characterization, and physics-based modeling.
Before joining Stanford, Yanjie was a postdoctoral researcher at MIT working with Prof. Jesús del Alamo and Prof. Dimitri Antoniadis, where he developed high-performance amorphous oxide semiconductor transistors and nanoscale ferroelectric devices for logic, memory, and AI hardware applications. His doctoral research at MIT, advised by Prof. Jesús del Alamo, advanced ultra-scaled tunneling transistors for low-voltage electronics by leveraging extreme quantum confinement to engineer tunneling transport at the nanoscale. He was a recipient of the Intel's 2023 Outstanding Researcher Award. -
Eric S.G. Shaqfeh
Lester Levi Carter Professor and Professor of Mechanical Engineering
Current Research and Scholarly InterestsI have over 25 years experience in theoretical and computational research related to complex fluids following my PhD in 1986. This includes work in suspension mechanics of rigid partlcles (rods), solution mechanics of polymers and most recently suspensions of vesicles, capsules and mixtures of these with rigid particles. My research group is internationally known for pioneering work in all these areas.
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Meghan Marjorie Shea
Postdoctoral Scholar, Civil and Environmental Engineering
BioMeghan is a postdoctoral scholar at Stanford University, where she studies how to best use environmental DNA (eDNA)—little bits of DNA left behind by organisms in their ecosystems—for marine biodiversity monitoring. Her interdisciplinary approach blends science & technology studies and ocean sciences, drawing on her dual training as a social scientist and engineer. Working from the archives to the laboratory to the field, she advances eDNA tools while interrogating their social context and epistemic implications. Prior to her postdoc, she received a PhD in the Emmett Interdisciplinary Program in Environment & Resources at Stanford, an MPhil in Nature, Society and Environmental Governance from Oxford as a Rhodes Scholar, and a BS in Environmental Systems Engineering from Stanford. When she's not thinking about environmental DNA, she loves cooking elaborate vegetarian meals, nurturing her house plants, and finding ways to spend as much time as possible on or near the ocean!
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Alicia Myles Sheares
Assistant Professor of Management Science and Engineering and, by courtesy, of Sociology
BioProfessor Alicia Myles Sheares is an Assistant Professor in the Management Science and Engineering department at Stanford University. Her research sits at the intersection of race and organizations with a specific focus on how underrepresented professionals of color fare in the United States. Currently, she’s working on two major projects. The first explores the experiences of Black tech entrepreneurs in Silicon Valley and Atlanta, while the second explores individual and company-level factors that are associated with success among Black and Latine startups in the U.S. Her research has been published in Social Forces, the Sociology of Race and Ethnicity, Big Data and Society, and the International Migration Review. Professor Sheares was a University of California President’s Postdoctoral Fellow at UCLA. She received her Ph.D. in sociology from UC Berkeley, her M.Sc. in Migration Studies from the University of Oxford, and her B.A. from Spelman College.
Email: asheares@stanford.edu -
Sheri D. Sheppard
Richard W. Weiland Professor in the School of Engineering, Emerita
BioSheri Sheppard teaches both undergraduate and graduate design-related classes, and conducts research on fracture mechanics and applied finite element analysis, and on how people become engineers. From 1999-2008 she served as a Senior Scholar at the Carnegie Foundation for the Advancement of Teaching, leading the Foundation’s engineering study. In addition to publishing technical papers, reports, and textbooks, she has led or co-led several large, multi-institutional projects to build new educational research programs and related resources, such as the Center for the Advancement of Engineering Education (CAEE), The National Center for Engineering Pathways to Innovation (Epicenter), and a program on summer research experiences for high school teachers. Her industry experience includes engineering positions at Detroit's "Big Three” — Ford Motor Company, General Motors Corporation, and Chrysler Corporation. She earned her bachelors degree from the University of Wisconsin, and her PhD at the University of Michigan. At Stanford she has served a chair of the faculty senate, as associate vice provost for graduate education, and is the longtime faculty founder of and adviser to the graduate student group MEwomen. Her work has been recognized with numerous honors and awards, including the Walter J. Gores Award, Stanford University's highest award for excellence in teaching and the Chester F. Carlson and Ralph Coats Roe Awards of the American Society for Engineering Education in recognition of distinguished accomplishment in engineering education, and for outstanding teaching and notable contributions to the mechanical engineering profession.
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Baiyu Shi
Ph.D. Student in Mechanical Engineering, admitted Autumn 2023
Current Research and Scholarly InterestsMy research combines electronic skin, tactile sensing, and robot learning to enable dexterous manipulation and safe physical interaction. I develop scalable, stretchable sensing systems that help robots perceive and respond to contact. My broader interests include novel sensing modalities, human-robot interaction, mechanical design, and wearable technologies.
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Ronie Shilo
Chief Education Initiatives Officer, Stanford Engineering Center for Global and Online Education
Current Role at StanfordManaging Director, Programs Strategy and Development, Stanford Engineering Center for Global & Online Education
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David Shim
Ph.D. Student in Electrical Engineering, admitted Autumn 2024
Current Research and Scholarly InterestsComputer Architecture, Robust Computing, Formal Verification, Machine Learning
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Chungheon Shin
Research Engineer, Civil and Environmental Engineering
BioChungheon Shin is the Research Director of the Codiga Resource Recovery Center at Stanford University. His research advances sustainable water and environmental technologies through process intensification, environmental biotechnology, and resource recovery. By integrating biological and physicochemical processes with mechanistic and data-driven computational models, he develops engineering solutions that recover clean water, energy, and valuable resources. His work spans multiple scales, from fundamental reaction kinetics to pilot- and demonstration-scale systems, with a strong emphasis on translating research into real-world applications.
His current research focuses on three complementary areas: process intensification, resource recovery, and digital optimization of water infrastructure. He has led the development of the Staged Anaerobic Fluidized-bed Membrane Bioreactor (SAF-MBR), an energy-positive wastewater treatment technology that has advanced to demonstration scale, and is developing pilot-scale methane-to-protein technologies that convert waste methane into sustainable protein through efficient gas transfer and environmental biotechnology. His research also integrates mechanistic understanding with data-driven modeling to optimize biological treatment processes and accelerate the deployment of next-generation water technologies.
Dr. Shin received his Ph.D. in Environmental Engineering from Inha University in South Korea, where he developed the SAF-MBR under the supervision of Professor Jaehoe Bae and Professor Perry L. McCarty. He subsequently joined the Department of Civil and Environmental Engineering at Stanford University as a postdoctoral scholar under Professor Craig S. Criddle, where he expanded his research in environmental biotechnology, process intensification, and sustainable water infrastructure. -
Yoav Shoham
Professor of Computer Science, Emeritus
BioYoav Shoham is professor emeritus of computer science at Stanford University. A leading AI expert, Prof. Shoham is Fellow of AAAI, ACM and the Game Theory Society. Among his awards are the IJCAI Research Excellence Award, the AAAI/ACM Allen Newell Award, and the ACM/SIGAI Autonomous Agents Research Award. His online Game Theory course has been watched by close to a million people. Prof. Shoham has founded several AI companies, including TradingDynamics (acquired by Ariba), Katango and Timeful (both acquired by Google), and AI21 Labs. Prof. Shoham also chairs the AI Index initiative (www.AIindex.org), which tracks global AI activity and progress, and WeCode (www.wecode.org.il), a nonprofit initiative to train high-quality programmers from disadvantaged populations.
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Constantine Sideris
Associate Professor of Electrical Engineering
BioConstantine Sideris is an Associate Professor of Electrical Engineering at Stanford University. Previously, he was an Assistant Professor at the University of Southern California from 2018 to 2025 and an Associate Professor from 2025 to 2026. He received the B.S., M.S., and Ph.D. degrees with honors from the California Institute of Technology in 2010, 2011, and 2017 respectively. He was a visiting scholar at UC Berkeley’s Wireless Research Center from 2013 to 2014. He was a postdoctoral fellow in the departments of Electrical Engineering and Computing and Mathematical Sciences at Caltech from January 2017 to August 2018.
He was the recipient of an ONR YIP award in 2023, an NSF CAREER award in 2021, an AFOSR YIP award in 2020, an AFOSR DURIP award in 2021, the Caltech Leadership Award in 2017, and an NSF graduate research fellowship in 2010. His research is highly interdisciplinary and bridges the fields of bioengineering, medicine, applied mathematics and computation with electrical engineering and physics.
His research interests include analog/RF integrated circuits, photonic integrated circuits, and computational electromagnetics for biomedical and biosensing applications and wireless communications. His current interests in biomedical devices include portable Point-of-Care in-vitro biosensors, wearable devices for real-time monitoring and analysis of biological signals, ingestible “smart” pills, and implantable devices. His current interests in computational electromagnetics include developing fast algorithms for simulating RF and nanophotonic devices and coupling them with efficient optimization algorithms to achieve the automated design of new, high-performance electromagnetic devices. -
Aaron Sidford
Associate Professor of Management Science and Engineering and of Computer Science
On Leave from 2026-10-01 To 2027-06-30Current Research and Scholarly InterestsMy research interests lie broadly in the optimization, the theory of computation, and the design and analysis of algorithms. I am particularly interested in work at the intersection of continuous optimization, graph theory, numerical linear algebra, and data structures.
