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
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 

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

New Report Details Female Faculty Presence At Top AI Universities

December 12, 2018  

Quartz -- A new report detailing the progress of artificial intelligence, the AI Index, the numbers of women in the faculty at what it bills as the top seven worldwide AI universities, among them the University of Illinois.

 

Research Assistant Professor Sibin Mohan

Mohan's Project With Boeing Aims to Provide An Understanding Of The Behavior Of Drone Swarms

December 12, 2018   Research Assistant Professor Sibin Mohan's new project with Boeing will use machine learning techniques to try to define normal behavior for drone swarms.
UC Merced Professor Ming-Hsuan Yang

Computer Science Professor Named Fellow of Prestigious Institute

December 11, 2018  

UC Merced News -- In recognition of his contributions to object tracking and face recognition research, UC-Merced Professor and Illinois CS alum Ming-Hsuan Yang has been named a Fellow in the Institute of Electrical and Electronics Engineers.

 

C3 Chairman and CEO Tom Siebel

The Social Implications of AI

November 5, 2018  

Fortune -- C3 CEO and Illinois Computer Science graduate Tom Siebel hosts a weekend of events focused on the social implications of A.I., including debate among four experts who have authored books on the subject.

 

CS Assistant Professor Jian Peng

AI Crowdsources Data To Speed Up Drug Discovery

October 18, 2018  

ScienceNews -- A new cryptographic system could allow pharmaceutical companies and academic labs to work together to develop new medications more quickly. “This work is visionary,” says Jian Peng, a computer scientist at the University of Illinois. “I think [it] will lay the groundwork for the future of collaborations in biomedicine."