Stanford University
Showing 1-34 of 34 Results
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Mehran Sahami
Tencent Chair of the of the Computer Science Department, James and Ellenor Chesebrough Professor and Senior Fellow, by courtesy, at the Freeman Spogli Institute for International Studies
BioMehran Sahami is Tencent Chair of the Computer Science Department and the James and Ellenor Chesebrough Professor in the School of Engineering. As a Professor (Teaching) in the Computer Science department, he is also a Bass Fellow in Undergraduate Education and previously served as the Associate Chair for Education in Computer Science. Prior to joining the Stanford faculty, he was a Senior Research Scientist at Google. His research interests include computer science education, artificial intelligence, and ethics. He served as co-chair of the ACM/IEEE-CS joint task force on Computer Science Curricula 2013, which created curricular guidelines for college programs in Computer Science at an international level. He has also served as chair of the ACM Education Board, an elected member of the ACM Council, and was appointed by California Governor Jerry Brown to the state's Computer Science Strategic Implementation Plan Advisory Panel.
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Daniel Schwartz
Dean of the Graduate School of Education and the Nomellini & Olivier Professor of Educational Technology
Current Research and Scholarly InterestsInstructional methods, transfer of learning and assessment, mathematical development, teachable agents, cognition, and cognitive neuroscience.
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Krishna Shenoy
Member, Bio-X
Current Research and Scholarly InterestsWe conduct neuroscience, neuroengineering and translational research to better understand how the brain controls movement, and to design medical systems to assist people with paralysis. These are referred to as brain-machine interfaces (BMIs), brain-computer interfaces (BCIs) and intra-cortical neural prostheses. We conduct this research as part of our Neural Prosthetic Systems Lab (NPSL) and our Neural Prosthetics Translational Lab (NPTL), which I co-direct with Prof. Jaimie Henderson, M.D.
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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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Brian Sha
Undergraduate, Computer Science
Undergraduate, Symbolic SystemsBioBrian Sha is a graduate student studying Computer Science at Stanford University and a mentor at Qualia Global Scholars.
He worked as a Teaching Fellow for Stanford’s first dual-enrollment Computer Science program, which awards Stanford credit to talented high school students from low-income communities and underrepresented backgrounds.
He has worked as a researcher for the Stanford Institute for Human-Centered Artificial Intelligence (HAI) on the Artificial Intelligence Index (supported by Stanford, Google, MIT, McKinsey, and OpenAI, among others).
He was part of the Stanford team that won first prize in the Rotman International Trading Competition’s Algorithmic Trading Case. As a software engineer and researcher at one of the top quantitative investment firms in the world, he helped manage an investment portfolio using cutting-edge AI, ML, and Data Science. -
David G Stork
Adjunct Professor, Symbolic Systems Program
BioDavid G. Stork teaches and performs research in several disciplines:
• Rigorous computer image analysis of fine art paintings and drawings
• Computational sensing and imaging with metasurface optical elements
• Applications of computer algebra
He is a graduate in Physics from MIT and the University of Maryland, and studied Art History at Wellesley College. He was Chief Scientist of the American arm of the $15B international Ricoh Company and Rambus Fellow at Rambus, Inc. He has held faculty positions in Physics, Mathematics, Computer Science, Statistics, Electrical Engineering, Computation & Mathematical Engineering, Neuroscience, Psychology, and Art and Art History variously at Wellesley and Swarthmore Colleges, Clark, Boston, and Stanford Universities, and the Technical University of Vienna. He is a Fellow of IEEE, OSA, SPIE, IS&T, IAPR, IARIA, AAIA, IAII, and a Senior Life Member of ACM and was a 2023 Leonardo@Djerassi Fellow. He holds 64 US patents, and has published over 220 peer-reviewed scholarly articles and nine books/proceedings volumes, including "Pattern classification" (2nd ed.), "Seeing the light: Optics in nature, photography, color, vision, and holography," "HAL's Legacy: 2001's computer as dream and reality," and "Pixels & paintings: Foundations of computer-assisted connoisseurship." -
Meghan Sumner
Associate Professor of Linguistics
BioI am an Associate Professor of Phonetics at Stanford. My work simplified: I take sound patterns that exist in languages and associated variation and usage patterns (who says what, how and when), and investigate the social meaning humans associate with these patterns (and how they come to make these associations). I care about how, cognitively, this social information affects attention, perception, recognition, memory, and comprehension. Then, I take all of that, and investigate the areas in which language and society interact and highlight how this advances theory, but also how stereotype and bias are reinforced through spoken language. Much of what we currently know about speech variation, language and cognition stems from experiments that probe one component of this process at time, leave out social factors and experience, use stimuli from normative white talkers, and are quite distant from the interdisciplinary and diverse research needed to advance theories and address issues relevant to society. My general focus is on understanding the mechanisms and representations that underlie spoken language understanding and how they interact across various listener and speaker populations in a social and dynamic world.