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

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

Affiliate Faculty

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 

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

Dr. Nancy Amato has been named the next Department Head of Computer Science.

Nancy Amato Named Next Department Head of Computer Science

July 12, 2018   Amato, who graduated from Illinois in 1995 with a PhD in computer science, will become the first woman to lead the department.
CS Adjunct Professor Eyal Amir

2018’s Best & Worst Cities to Drive In

July 10, 2018  

WalletHub -- Some cities are better for those behind the wheel. To determine those places, WalletHub compared the 100 largest cities across 29 key indicators of driver-friendliness. Adjunct Professor Eyal Amir adds his expertise on how to drive for less, autonomous vehicles, and more.

Three Illinois Computer Science faculty recently won NSF CAREER Awards.

Three Illinois Computer Science Faculty Earn NSF CAREER Awards

May 15, 2018   Assistant Professors Adam Bates, Ranjitha Kumar, and Matus Jan Telgarsky have each been recognized as a potential role model in research and education.
C3IOT Chairman and Illinois Computer Science graduate Thomas M. Siebel

Technology Revolution Can Help or Harm Societies

May 8, 2018  

Voice of America -- As artificial intelligence is used in an increasingly connected world and societies become more and more dependent on the technology, experts say inherent risks need to be addressed. “It’s quite explosive what we’re seeing,” said Tom Siebel, chairman and CEO of C3 IoT and an Illinois graduate (BA History ’75, MBA ’83, MS CS ’85).

CS student Anil Jason

Wired In: Illinois CS Student Anil Jason

May 6, 2018  

The News-Gazette -- Meet Anil Jason, an Illinois Computer Science student who is a co-creator of QuillBot, an artificial-intelligence program that can be used for writing and more. Jason discusses QuillBot in a video interview here.