The 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
||computational linguistics, programming language tools
|David A. Forsyth
||computer vision, object recognition, scene understanding
||natural language processing, computational linguistics
||computer vision, object recognition, spatial understanding, scene interpretation
||joining fall 2018; reinforcement learning
||joining fall 2018; secure machine learning
||machine learning, neuroscience, neuroimaging
|Steven M. LaValle
||robotics, motion planning, and virtual reality
||computer vision, object recognition, scene interpretation, modeling and organization of large-scale image collections
||machine learning and optimization
||natural language processing, textual inference
||machine listening, signal processing, music information retrieval, and speech and audio analysis
||machine learning theory
|Timothy Bretl, Aerospace Engineering
||motion planning and control
|Roxana Girju, 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
|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
December 8, 2017
Students clear financial and technical challenges to launch Illinois Autonomous Underwater Vehicle team submarine. Now they are aiming for more.
November 5, 2017
On November 13, Dr. Manuela Veloso will present her research on autonomous service robots.
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.
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.
October 4, 2017
Dr. Leslie Pack Kaelbling will discuss progress towards developing an integrated approach to solving very large problems in intelligent robotics.