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

Eight outstanding new faculty members are joining CS @ ILLINOIS during the next academic year.

CS @ ILLINOIS welcomes eight new faculty

September 21, 2017   Eight outstanding new faculty members are joining CS @ ILLINOIS during the next academic year. In total, thirty-six talented teachers and researchers have joined the department since 2013.
CS 598 students wrote software for driverless cars provided by AutonomouStuff.

Class gives CS students a chance to program an actual autonomous vehicle

September 20, 2017   Last spring, a major component of "Autonomous Vehicles in AI" was for students to write software for driverless vehicles provided by AutonomouStuff.
Founder Professor Dan Roth

Roth honored with the IJCAI John McCarthy Award

May 11, 2017   Professor Dan Roth has been named the winner of the 2017 John McCarthy Award, the highest award the Artificial Intelligence community gives to mid-career AI researchers.
Computer Science Investitures

CS set to honor four distinguished faculty with named chairs and professorships

November 14, 2016   One of the highest honors the campus can bestow, named chairs and professorships acknowledge outstanding faculty research, service, and education accomplishments.
Tweetsense

These 19-Year-Old Engineering Students Predicted Trump's Win. Here's How.

November 9, 2016  

Chicago Inno- In June, Tweetsense, an Illinois startup by Cody Pawlowski (attended CS) and William Widjaja (ECE), correctly predicted Brexit. They also correctly predicted Donald Trump’s win.