Artificial Intelligence

The group is pursuing a broad range of topics that include knowledge representation, learning, vision, reasoning, robotics, information systems, and planning. Application areas include molecular biology, manufacturing, control theory, and scheduling.

Lab Locations

3307 Siebel Center

Seminars

Artificial Intelligence and Machine Learning Seminars

Faculty

Dan Roth	machine learning, natural language processing, knowledge representation, reasoning
David Forsyth	computer vision, machine learning
Steven M. LaValle	robotics, motion planning
Eyal Amir	knowledge representation, automated reasoning, robotics
Paris Smaragdis	machine listening
Jiawei Han	data mining
Thomas Huang	computer vision, machine learning
Benjamin W. Wah	artificial intelligence
Gerald DeJong	machine learning
Jennifer Cole	natural language processing, computational linguistics
Narendra Ahuja	computer vision
Derek Hoiem	visual scene understanding
Julia Hockenmaier	natural language processing, computational linguistics
Mark Hasegawa-Johnson	statistical speech technology
Seth Hutchinson	computer vision, robotics
Margaret Fleck	natural language processing
ChengXiang Zhai	information retrieval, natural language processing, bioinformatics
Roxana Girju	computational linguistics
Stephen Levinson	automated natural language understanding
David E. Goldberg	genetics-based machine learning
Lenny Pitt	artificial intelligence
Bryan Heidorn	natural language understanding, information extraction
Timothy Bretl	motion planning and control
Mehdi Harandi	knowledge-based software engineering
Zhi-Pei Liang	pattern recognition, statistical learning
Yi Ma	computer vision
Saurabh Sinha	bioinformatics
Sheng Zhong	computational biology