School of Engineering
Showing 301-350 of 686 Results
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Weiyan Shi
Postdoctoral Scholar, Computer Science
Current Research and Scholarly InterestsMy research interests are in Natural Language Processing, especially intelligent interactive systems and the following directions:
* Interactive systems specialized in social influence for social good (e.g., persuasive dialogues)
* Privacy-preserving NLP models
* Task-oriented and open-domain dialogue systems
* Intelligible dialogue generation
* Learning through interaction
My research vision is to build a natural interface between human intelligence and machine intelligence via natural conversations, so that all members of society can interact with AI models seamlessly regardless of their backgrounds. -
Joon Hyung Shim
Visiting Professor, Mechanical Engineering
Bio2010 National Renewable Energy Lab (NREL), Researcher
2009 Stanford University, Mechanical Engineering, Lecturer
2009 Stanford University, Mechanical Engineering, Ph.D.
2004 Stanford University, Mechanical Engineering, M.S.
2002 Seoul National University, Mechanical & Aerospace Engineering, B.S. -
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. -
Aaron Sidford
Associate Professor of Management Science and Engineering and of Computer Science
Current 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.
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Nicholas Siemons
Postdoctoral Scholar, Materials Science and Engineering
BioNicholas began his academic career by studying integrated Masters at University College, London. During this time he published his first article, "Multiple exciton generation in nanostructures for advanced photovoltaic cells" - a review of how to produce photovoltaics with greater than 100% internal efficiencies. Following this Nicholas began research into solar voltaics and organic batteries in the group of Prof. Jenny Nelson at Imperial College, London. During this time Nicholas developed his keen interest in how to relate the chemical design of polymers to their ability to function as battery electrode materials. To achieve this goal, Nicholas applies atomistic simulation methods to such polymer systems, and relates the simulated findings to experimental results, bridging the gap between chemistry and device properties. As well as linking molecular chemical design to device performance, Nicholas applies novel simulation and analysis methodologies to study these systems, including Molecular Dynamics, Density Functional Theory, Molecular Metadynamics and Network Analysis.
