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

CS student Ajay Shekar

Artificial Intelligence And Healthcare: The Role Of The Computer Scientist

August 21, 2018  

Smile Politely -- Ajay Shekar is a master's student in Computer Science working on applying machine-learning and deep-learning techniques on medical image datasets. He wants to create a tool that can help predict Parkinson’s Disease.

 

MIT researcher and Illinois CS alum Mark Klein

The Future Role Of AI In Fact Checking

August 1, 2018  

betanews -- MIT researcher and Illinois CS alum Mark Klein (MS CS '86, PhD CS '90) says an AI fact-checker remains a long way off. "It's a much bigger problem than being able to parse the words, make a syntax tree, and use the standard Natural Language Processing approaches."

Illinois AUV team leader and student Shubhankar Agarwal

UI Submarine Goes To National Competition

July 23, 2018  

WCIA-TV -- A submarine created by Illinois Computer Science students and other students from the College of Engineering is headed to a national competition. The autonomous submarine will compete in the International Robosub Competition in San Diego.

Monk’s Hill Ventures Managing Partner and Illinois CS alum Peng Ong

Why I Don't Invest In AI

July 21, 2018  

VentureBeat -- Monk’s Hill Ventures Managing Partner and Illinois CS alum (MS CS '88) Peng Ong writes that he doesn't invest in AI because "the capabilities of AI technology are often over-promised" and an important question is often overlooked: "What problem are they solving?"

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.