School of Engineering
Showing 1,271-1,280 of 1,782 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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Aadesh Salecha
Masters Student in Computer Science, admitted Autumn 2024
BioAadesh Salecha is a Founding Engineer at Hyfin (hyfin.capital), where he is building GAIA, a platform that synthesizes asset performance and market data to power clean energy loan origination. He designs agentic data pipelines that combine LLMs and web scraping to create data for a new asset class with no track record, and risk intelligence tools aimed at closing the $4T+ clean energy financing gap across South Asia and Africa.
Aadesh completed his MS in Computer Science at Stanford in 2026. At Stanford, he worked as an AI/ML researcher with Prof. David Lobell and the Center on Food Security and the Environment at the Stanford Doerr School of Sustainability, building geospatial machine learning pipelines on Google Earth Engine, Landsat, and Sentinel-2 imagery to detect tree species across cropland in the Global South. This work supports verification of the 5+ Gt CO2/year sequestration potential of integrating trees into global cropland. He also won Stanford's first Green AI Hackathon with a geothermal site prediction system built on AlphaEarth satellite embeddings (findgeothermal.com).
Earlier at Stanford, he worked with Prof. Johannes Eichstaedt on applying cognitive science and psychometrics to evaluate large language models. Their paper showing that LLMs exhibit human-like social desirability biases was published in PNAS Nexus and covered by WIRED.
Previously, Aadesh was an AI/ML Engineer at Amazon (AWS SageMaker HyperPod), where he built an agentic AI system to auto-resolve ML infrastructure failures and reduced GPU energy waste by about 200 kg CO2e per day. Before Stanford, he was a Senior Software Engineer on the Financial Platform team at DraftKings. He received his BS in Computer Science, summa cum laude, from the University of Minnesota, where he researched misinformation spread with Prof. Jaideep Srivastava.
Website: https://aadeshsalecha.github.io
LinkedIn: https://www.linkedin.com/in/aadesh-salecha
Google Scholar: https://scholar.google.com/citations?user=Cnwzl3oAAAAJ -
J Kenneth Salisbury, Jr.
Professor (Research) of Computer Science and of Surgery (Anatomy), Emeritus
BioSalisbury worked on the development of the Stanford-JPL Robot Hand, the JPL Force Reflecting Hand Controller, the MIT-WAM arm, the PR-2 personal robot and the da Vinci Surgical Robot. His work with haptic interface technology led to the founding of SensAble Technology, producers of the PHANToM haptic interface and software. He also worked on developing telerobotic systems for dexterity enhancement in the operating room. His current research focuses on minimalist force controllable robots, human-machine interaction, cooperative haptics, medical robotics, and surgical simulation.
