The study of systems that behave intelligently, artificial intelligence includes several key areas where our faculty are recognized leaders: computer vision, machine listening, natural language processing, and machine learning.
Computer vision systems can understand images and video, for example, building extensive geometric and physical models of cities from video, or warning construction workers about nearby dangers. Natural language processing systems understand written and spoken language; possibilities include automatic translation of text from one language to another, or understanding text on Wikipedia to produce knowledge about the world. Machine listening systems understand audio signals, with applications like listening for crashes at traffic lights, or transcribing polyphonic music automatically. Crucial to modern artificial intelligence, machine learning methods exploit examples in order to adjust systems to work as effectively as possible.
CS Faculty and Their Research Interests
|Nancy Amato||motion planning, robotics, computational biology, computational geometry, animation, CAD, VR|
|Margaret Fleck||computational linguistics, programming language tools|
|David A. Forsyth||computer vision, object recognition, scene understanding|
|Julia Hockenmaier||natural language processing, computational linguistics|
|Kris Hauser||joining fall 2019; robot motion planning and control, semiautonomous robots|
|Derek Hoiem||computer vision, object recognition, spatial understanding, scene interpretation|
|Nan Jiang||reinforcement learning|
|Bo Li||secure machine learning|
|Oluwasanmi Koyejo||machine learning, neuroscience, neuroimaging|
|Steven M. LaValle||robotics, motion planning, and virtual reality|
|Svetlana Lazebnik||computer vision, object recognition, scene interpretation, modeling and organization of large-scale image collections|
|Jian Peng||machine learning and optimization|
|Mark Sammons||natural language processing, textual inference|
|Paris Smaragdis||machine listening, signal processing, music information retrieval, and speech and audio analysis|
|Matus Telgarsky||machine learning theory|
|Timothy Bretl, Aerospace Engineering||motion planning and control|
|Girish Chowdhary, Agricultural and Biological Engineering||control, autonomy and decision making, vision and LIDAR based perception, GPS denied navigation|
|Roxana Girju, Linguistics||computational linguistics|
|Mani Golparvar-Fard, Civil Engineering||computer vision analytics for building and construction performance monitoring|
|Mark Hasegawa-Johnson, Electrical & Computer Engineering||statistical speech technology|
|Seth Hutchinson, Electrical & Computer Engineering||computer vision, robotics|
|Kenton McHenry, NCSA||cyberinfrastructure for digital preservation, auto-curation, and managing unstructured digital collections|
|Eyal Amir, Parknav||machine learning, automatic reasoning|
|Dan Roth, University of Pennsylvania||machine learning, natural language processing, knowledge representation, reasoning|
Artificial Intelligence Research Efforts and Groups
Artificial Intelligence Research News
BuiltIn -- AI is poised to have a major effect on environmental issues. Sensors could help make cities more liveable. Such sensors on cars could predict potential traffic problems and optimize the flow of cars. “Years down the road, it will play a really big role,” Professor Klara Nahrstedt said.
Forbes -- AI-based precision medicine combines medicine, biology, statistics, and computing. The most promising research is characterized by collaboration like that of a team that developed a machine-learning algorithm to predict presciptions for depression patients. The team included Illinois CS student Subho S. Banerjee and his advisor, Professor Ravishankar Iyer.
WIRED -- The Allen Institute has designed an AI that can play a game much like the drawing game Pictionary. Illinois CS Professor David Forsyth says software able to understand novel combinations of imagery could help computers venture out into the messiness of the real world.
MIT Technology Review, Science and others -- Researchers at the Allen Institute, led by Illinois CS alum Ali Farhadi (PhD '11), believe Pictionary could push machine intelligence beyond its current limits and have developed a version of the game that pairs a human player with an AI.