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
|Margaret Fleck||computational linguistics, programming language tools|
|David A. Forsyth||computer vision, object recognition, scene understanding|
|Julia Hockenmaier||natural language processing, computational linguistics|
|Derek Hoiem||computer vision, object recognition, spatial understanding, scene interpretation|
|Nan Jiang||joining fall 2018; reinforcement learning|
|Bo Li||joining fall 2018; 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|
|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
Chicago Tribune -- CS Professor Sheldon Jacobson is interviewed in this story on sports-data firm Stats and its expanding use of AI for analysis.
Gizmodo -- Researchers who include Illinois Computer Science PhD student Tanmay Gupta and Associate Professor Derek Hoiem have trained artificial intelligence to generate new clips of The Flintstones cartoon series based on text descriptions of what’s happening in a scene. Other coverage includes Tech Times, TheNextWeb, and BRG. You can also watch the researchers' video here.
Houston Chronicle -- A Texas Southern University Professor draws on research by CS Professor Sheldon Jacobson to argue that AI can help solve the problem of gerrymandering in drawing political boundaries.
WILL's The 21st -- CS Professor Tarek Abdelzaher joins the daily public radio talk show as fallout continues from news that Facebook users' private data was used to as part of a campaign to influence the outcome of the 2016 presidential election.
Chicago Tribune -- Among the highlights from the tournament's opening weekend, the Tribune notes that CS Professor Sheldon Jacobson's model for predicting long-shot winners correctly picked one of the biggest upsets of the competition so far.