School of Engineering
Showing 551-560 of 691 Results
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Ross Shachter
Associate Professor of Management Science and Engineering
Current Research and Scholarly InterestsProf. Shachter's research has focused on the representation, manipulation, and analysis of uncertainty and probabilistic reasoning in decision systems. As part of this work, he developed the DAVID influence diagram processing system for the Macintosh. He has developed models scheduling patients for cancer follow-up, and analyzing vaccination strategies for HIV and Helobacter pylori.
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Nigam H. Shah, MBBS, PhD
Professor of Medicine (Computational Medicine), of Biomedical Data Science and, by courtesy, of Computer Science
Current Research and Scholarly InterestsWe answer clinical questions using aggregate patient data at the bedside. The Informatics Consult Service (https://greenbutton.stanford.edu/) put this idea in action and led to the creation of Atropos Health. We build predictive models that allow taking mitigating actions, keeping the human in the loop.
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Cory Shain
Assistant Professor of Linguistics and, by courtesy, of Psychology
BioI lead the Laboratory for Computation & Language in Minds & Brains (CLiMB Lab). We try to figure out how our brains let us go so efficiently from sensation (e.g., speech, reading) to meaning, and we do this using a combination of neuroimaging, computer modeling, and behavioral experiments. See the lab website for details.
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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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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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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.
