School of Engineering
Showing 5,381-5,400 of 7,036 Results
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Chungheon Shin
Research Engineer
BioChungheon Shin is the Research Director at the Codiga Resource Recovery Center at Stanford University. He is passionate about prospects for sustainability through resource recovery from waste streams and believes that engineering can make it possible. He has been developing and optimizing innovative processes that can recover resources while mitigating greenhouse gas emissions. His studies incorporate various processes (biological and physicochemical systems), scales of analyses (kinetics to systems-level), and computational skills (conventional and data-driven models). He received his Ph.D. in Environmental Engineering at Inha University (South Korea) while developing the Staged Anaerobic Fluidized-bed Membrane Bioreactor (SAF-MBR), enabling recovery of clean water and energy from municipal wastewater, with Professor Jaehoe Bae and Professor Perry L. McCarty. He was a postdoctoral scholar in the Civil and Environmental Engineering department at Stanford University under the supervision of Professor Craig S. Criddle and Adjunct Professor Sebastien Tilmans.
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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.
