Artificial Intelligence
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
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 |
| 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 |
