Research @ CS

Core Areas

Stanford Artificial Intelligence Laboratory

The Stanford Artificial Intelligence Lab (SAIL), founded in 1962 by Professor John McCarthy, continues to be a rich, intellectual and stimulating academic environment. Through multidisciplinary and multi-faculty collaborations, SAIL promotes new discoveries and explores new ways to enhance human-robot interactions through AI; all while developing the next generation of researchers. SAIL has been a center of excellence for Artificial Intelligence research, teaching, theory, and practice for over fifty years.

For more information about our Lab and research groups, please visit our website.

Stanford Infolab

Database research, general purpose network analysis and graph mining.

Stanford Theory Group

The development and analysis of algorithms for a variety of settings and applications. Major directions include Complexity Theory, Cryptography, Algorithmic Game Theory, Geometric Algorithms, algorithmic techniques for internet applications, various aspects of network and computer security, databases, design and analysis of programs and programming languages, and supporting studies in combinatorial, logical, and algebraic mathematics.

Stanford Computer Graphics / Human-Computer Interaction (HCI) group

Research in geometric computation, light fields and computational photography, human-computer interaction and design thinking as well as computational algorithms for a variety of applications.

Computer Systems

Computational techniques are now a major innovation catalyst for all aspects of human endeavour. Our research aims to develop tomorrow’s information technology that supports innovative applications, from big data analytics to the Internet of Things. It covers all aspects of information technology, including energy efficient and robust hardware systems, software defined networks, secure distributed systems, data science, and integrated circuits and power electronics.

Areas: Architecture | Computer Security | Networking | Operating/Distributed Systems | Programming Systems and Verification

Faculty Profile

Filter by Research Focus

Name	Faculty Title	Research Focus
Sara Achour	Assistant Professor	Computer Systems
Maneesh Agrawala	Professor	Computer Graphics Human-Computer Interaction (HCI)
Alex Aiken	Professor	Computer Systems Programming Systems and Verification
Nima Anari	Assistant Professor	Theory
Peter Bailis	Adjunct Professor	Computer Systems Operating/Distributed Systems Data Science
Clark Barrett	Professor	Artificial Intelligence Architecture Computer Systems Human-Centered and Creative AI Programming Systems and Verification
Gill Bejerano	Professor	Artificial Intelligence Computational Biology
Michael Bernstein	Associate Professor	Human-Computer Interaction (HCI)
Jeannette Bohg	Assistant Professor	Artificial Intelligence Computer Vision Empirical Machine Learning Robotics
Dan Boneh	Professor	Computer Security Theory
Adam Bouland	Assistant Professor	Theory
Emma Brunskill	Associate Professor	Artificial Intelligence Computational Education Human-Centered and Creative AI Machine Learning Reinforcement Learning Statistical or Theoretical Machine Learning
Moses Charikar	Professor	Theory
Ron Dror	Associate Professor	Artificial Intelligence Biomedicine and Health Computational Biology Empirical Machine Learning
Zakir Durumeric	Assistant Professor	Computer Systems Computer Security
Dawson Engler	Associate Professor	Computer Systems Programming Systems and Verification
Stefano Ermon	Assistant Professor	Artificial Intelligence Computer Vision Empirical Machine Learning Human-Centered and Creative AI Machine Learning Statistical or Theoretical Machine Learning
Kayvon Fatahalian	Associate Professor	Computer Graphics
Ron Fedkiw	Professor	Artificial Intelligence Computer Graphics Computer Vision
Chelsea Finn	Assistant Professor	Artificial Intelligence Computational Education Empirical Machine Learning Machine Learning Reinforcement Learning Robotics
Emily Fox	Courtesy Professor	Artificial Intelligence Biomedicine and Health Empirical Machine Learning Statistical or Theoretical Machine Learning
Mike Genesereth	Associate Professor	Artificial Intelligence
Noah Goodman	Associate Professor	Artificial Intelligence Computational Cognitive & Neuro-science Computational Education Natural Language Processing and Speech
Carlos Guestrin	Professor	Artificial Intelligence Biomedicine and Health Empirical Machine Learning Human-Centered and Creative AI Machine Learning Statistical or Theoretical Machine Learning
Leonidas Guibas	Professor	Artificial Intelligence Computer Graphics Computer Vision Human-Centered and Creative AI Natural Language Processing and Speech Robotics