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

Members of the Illinois Autonomous Underwater Vehicle team.

Student team's submarine charts its own autonomous course

December 8, 2017   Students clear financial and technical challenges to launch Illinois Autonomous Underwater Vehicle team submarine. Now they are aiming for more.
Dr. Manuela Veloso

Distinguished Lecture Series: Dr. Manuela Veloso

November 5, 2017   On November 13, Dr. Manuela Veloso will present her research on autonomous service robots.
NCSA Director and CS Professor William D. Gropp

NSF awards Illinois funding for a deep learning research instrument

October 24, 2017   CS and NCSA researchers have received $2.7 million from the NSF to build a dedicated research instrument to expand deep learning research and lay the groundwork for deep neural networks.

Top CS @ ILLINOIS Students Named 2018 Siebel Scholars

October 18, 2017   As a result of their outstanding academic record and leadership, five students will receive $35,000 during their final year of study.
Leslie Pack Kaelbling

Donald B. Gillies Memorial Lecture in Computer Science: Leslie Pack Kaelbling

October 4, 2017   Dr. Leslie Pack Kaelbling will discuss progress towards developing an integrated approach to solving very large problems in intelligent robotics.