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.

Areas: Biomedicine and Health | Computational Cognitive & Neuro-science| Computational Education | Computer Vision | Empirical Machine Learning | Human-Centered and Creative AI | Natural Language Processing and Speech | Reinforcement Learning | Robotics | Statistical or Theoretical Machine Learning


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: ArchitectureComputer Security | Networking | Operating/Distributed Systems | Programming Systems and Verification


Faculty Profile

Name Faculty Title Research Focus
Patrick Hanrahan Professor Computer Graphics

Computer Systems
Tatsunori Hashimoto Assistant Professor Artificial Intelligence

Machine Learning

Natural Language Processing and Speech
John Hennessy Professor Computer Systems
Mark Horowitz Professor Computer Systems

Architecture
Thomas Icard Courtesy Professor Artificial Intelligence

Computational Cognitive & Neuro-science

Human-Centered and Creative AI
Doug James Professor Computer Graphics
Dan Jurafsky Professor Artificial Intelligence

Natural Language Processing and Speech
Sachin Katti Associate Professor Computer Systems

Networking
Oussama Khatib Professor Artificial Intelligence

Biomedicine and Health

Computational Cognitive & Neuro-science

Human-Centered and Creative AI

Robotics
Fred Kjolstad Assistant Professor Artificial Intelligence

Machine Learning
Mykel Kochenderfer Courtesy Professor Artificial Intelligence

Empirical Machine Learning

Reinforcement Learning

Robotics
Sanmi Koyejo Assistant Professor Artificial Intelligence

Biomedicine and Health

Computational Biology

Computational Cognitive & Neuro-science

Human-Centered and Creative AI

Machine Learning

Statistical or Theoretical Machine Learning
Christos Kozyrakis Professor Computer Systems

Architecture

Operating/Distributed Systems
Anshul Kundaje Assistant Professor Artificial Intelligence

Biomedicine and Health

Computational Biology

Empirical Machine Learning
Monica Lam Professor Artificial Intelligence

Computer Systems

Human-Centered and Creative AI

Natural Language Processing and Speech
James Landay Professor Human-Computer Interaction (HCI)
Jure Leskovec Associate Professor Artificial Intelligence

Biomedicine and Health

Data Science

Machine Learning

Statistical or Theoretical Machine Learning
Philip Levis Associate Professor Computer Systems

Networking
Fei-Fei Li Professor Artificial Intelligence

Biomedicine and Health

Computational Cognitive & Neuro-science

Computer Vision

Machine Learning

Robotics
Percy Liang Assistant Professor Artificial Intelligence

Empirical Machine Learning

Machine Learning

Natural Language Processing and Speech

Statistical or Theoretical Machine Learning
Karen Liu Associate Professor Artificial Intelligence

Computer Graphics

Human-Centered and Creative AI

Reinforcement Learning

Robotics
Tengyu Ma Assistant Professor Artificial Intelligence

Empirical Machine Learning

Machine Learning

Natural Language Processing and Speech

Reinforcement Learning

Statistical or Theoretical Machine Learning
Chris Manning Professor Artificial Intelligence

Empirical Machine Learning

Natural Language Processing and Speech
David Mazières Professor Computer Systems

Computer Security

Operating/Distributed Systems
Nick McKeown Professor Computer Systems

Networking

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