Artificial Intelligence

a snow dragonThe 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

Affiliate Faculty

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 
Alexander Schwing, Electrical & Computer Engineering machine learing, computer vision

Adjunct Faculty

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

Founder Professor on Engineering Tandy Warnow

Linguistics Paper Co-authored By Warnow Settled Key Questions, Honored for Its Influence

June 11, 2019   Tandy Warnow and collaborator Donald Ringe developed mathematical models that assumed language evolution followed a treelike pattern.
Professor Roy Campbell

After 43 Years, Roy Campbell Retires, But Legacy of Innovation, Leadership Will Remain

June 7, 2019   Campbell's research reflects a knack for knowing where technology is headed, but he has also been a tireless teacher, administrator, and problem-solver.
Assistant Professor Bo Li

Scientists Help Artificial Intelligence Outsmart Hackers

May 14, 2019  

Science -- Researchers say they have found a new way to give AI a defensive edge against adversarial attacks based on patterns hidden in images. Bo Li, a computer scientist at the University of Illinois who was not involved in the work, says distinguishing apparent features from hidden features is a “useful and good research direction” but also still needs more work.

Associate Professor Derek Hoiem

Cultivation Leads $7.7 Million Investment In Construction Software Firm

May 14, 2019  

ChicagoInno -- Champaign-based startup Reconstruct raised a $7.7 million Series A round led by Cultivation Capital. Reconstruct was co-founded by Illinois CS Associate Professor Derek Hoiem. Also covered by the St. Louis Post-Dispatch

Assistant Professor Bo Li

AI Can Now Defend Itself Against Malicious Messages Hidden In Speech

May 10, 2019  

Nature -- Bo Li, a computer scientist at the University of Illinois at Urbana-Champaign, and her co-authors wrote an algorithm that transcribes a full audio clip and, separately, just one portion of it. If the transcription of that single piece doesn’t closely match the corresponding part of the full transcription, the program throws a red flag — the sample might have been compromised.