MISSION

After the grand visions of the 1950s, the science of intelligent systems fragmented into a variety of separate fields. Although the narrow focus of each field has enabled technical progress, it has also restricted the scope of problems and prevented cross-fertilization. The aim of the Center for Intelligent Systems is to relaunch the field as an integrated scientific discipline with solid foundations and ambitious, interdisciplinary applications. The Center will bring together researchers from artificial intelligence, computer vision, speech recognition, robotics, control theory, operations research, neuroscience, adaptive systems, information retrieval, data mining, computational statistics, and game theory. The Center will focus on developing a unified theoretical foundation for intelligent systems, building on the tremendous advances made in various individual disciplines in the last decade. New computational tools will be built and disseminated, and a new generation of researchers will be trained to solve large-scale problems -- problems whose solution will benefit the economy and society.

FACULTY RESEARCHERS

Director, Jitendra Malik - (Artificial Intelligence (AI); Biosystems & Computational Biology (BIO); Control, Intelligent Systems, and Robotics (CIR); Graphics (GR); Human-Computer Interaction (HCI); Signal Processing (SP)

Peter Abbeel - (Artificial Intelligence (AI); Control, Intelligent Systems, and Robotics (CIR); Signal Processing (SP)

Venkat Anantharam - (Biosystems & Computational Biology (BIO); Communications & Networking (COMNET); Control, Intelligent Systems, and Robotics (CIR); Security (SEC)

Ruzena Bajcsy - (Artificial Intelligence (AI); Biosystems & Computational Biology (BIO); Control, Intelligent Systems, and Robotics (CIR); Graphics (GR); Human-Computer Interaction (HCI), Computer vision; Bridging information technology to humanities and social sciences; Security (SEC)

Brian Barsky - (Biosystems & Computational Biology (BIO); Graphics (GR); Human-Computer Interaction (HCI); computer-aided geometric design & modeling visualization in scientific computing, computer-aided cornea modeling and visualization)

Peter Bartlett - (Artificial Intelligence (AI), machine learning, statistical learning theory; Control, Intelligent Systems, and Robotics (CIR))

Peter Bickel - (statistics)

Eric Brewer - (Energy (ENE); Operating Systems & Networking (OSNT); Security (SEC); Developing regions; Programming languages)

John Canny - (Artificial Intelligence (AI); Control, Intelligent Systems, and Robotics (CIR); Graphics (GR); Human-Computer Interaction (HCI); Security (SEC)

Laurent El Ghaoui - (Control, Intelligent Systems, and Robotics (CIR); Robust and convex optimization; Decision-making under uncertainty; Statistical estimation; Air traffic management; Bioinformatics; Finance)

Ron Fearing - (Biosystems & Computational Biology (BIO); Control, Intelligent Systems, and Robotics (CIR); Energy (ENE)

Jerome Feldman - (Artificial Intelligence (AI); Biosystems & Computational Biology (BIO); Security (SEC); cognitive science)

David Forsyth - (vision; geometric modeling)

Robert Full - (integrative biology and robotics)

Ken Goldberg - (Artificial Intelligence (AI); Control, Intelligent Systems, and Robotics (CIR), Networked robots; Robotics for automated manufacturing; Design of parts and devices for automation; Graphics (GR); Security (SEC); Art and technology)

Marti Hearst - (Information retrieval, user interfaces, computational linguistics)
Joseph Hellerstein (Database Management Systems (DBMS); Operating Systems & Networking (OSNT); Security (SEC)

Michael Jordan - (Artificial Intelligence (AI); Biosystems & Computational Biology (BIO); Control, Intelligent Systems, and Robotics (CIR); Signal Processing (SP); Statistical Machine Learning)

Nelson Morgan - (Signal Processing (SP)
James O'Brien (Graphics (GR); Human-Computer Interaction (HCI); Scientific Computing (SCI); Computer animation, physical simulation, surface modeling, human perception of motion, computational geometry, image processing, scientific computing)

Yuval Peres - (statistics)

Kris Pister - (Control, Intelligent Systems, and Robotics (CIR), Micro-robotics; Energy (ENE); Integrated Circuits (INC), Low-power circuits; Micromechanical systems)

John Rice - (statistics)

Shankar Sastry - Dean, College of Engineering (Artificial Intelligence (AI); Biosystems & Computational Biology (BIO); Control, Intelligent Systems, and Robotics (CIR); Security (SEC)

Alistair Sinclair - (Theory (THY); Randomized algorithms; applied probability; statistical physics)

Bernd Sturmfels - (Biosystems & Computational Biology (BIO); Theory (THY)

Pravin Varaiya - (Communications & Networking (COMNET); Control, Intelligent Systems, and Robotics (CIR); Energy (ENE); Control; Networks; Power systems; Transportation)

Lotfi Zadeh - (Artificial Intelligence (AI); Control, Intelligent Systems, and Robotics (CIR); soft computing, knowledge-based systems)

UNIVERSITY-INDUSTRY-GOVERNMENT PARTNERSHIP

Our model of center membership is designed to facilitate academic research and industry partnership so that university researchers can benefit from industrial experience, and industry can more rapidly transfer new technologies. For a relatively modest investment, Center membership provides involvement in several large interdisciplinary research efforts in the intelligent systems area, as well as access to faculty and graduate students. The critical-mass combination of UC Berkeley researchers and leading companies has the potential of making truly significant advances possible. All member companies participate in semiannual research reviews and member day conferences. Each participating Member Company may send a senior employee to work at the Center, on a regular basis, as a visiting researcher. Each Participating Member Company is allocated one seat on the CIS Board of Advisors. Participating Member Companies may support the Center through product, equipment, or technology donations in addition to an annual membership fee of $150K. Associate Member Companies have the opportunity of informational involvement with the faculty and student researchers at the annual contribution rate of $75K. This includes access to all research result presentations and reports, and attendance at research reviews and member day conferences.