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
|Nancy Amato||motion planning, robotics, computational biology, computational geometry, animation, CAD, VR|
|Margaret Fleck||computational linguistics, programming language tools|
|David A. Forsyth||computer vision, object recognition, scene understanding|
|Julia Hockenmaier||natural language processing, computational linguistics|
|Kris Hauser||joining fall 2019; robot motion planning and control, semiautonomous robots|
|Derek Hoiem||computer vision, object recognition, spatial understanding, scene interpretation|
|Nan Jiang||reinforcement learning|
|Bo Li||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|
|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|
|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
Deseret News -- New artificial intelligence technology can identify genetic disorders using just a photo of a patient's face, potentially bringing peace of mind to parents of children with rare disorders. "It’s using existing AI technologies on a problem they haven’t been used for before," said David Forsyth, professor of computer science at University of Illinois.
PrairieFarmer -- A lab at the University of Illinois, led by Assistant Professor Girish Chowdhary, is building 3-D-printed robots to collect data on individual crops. Over years of prototyping, these robots have gotten skilled at using code and sensors to differentiate individual crops from background noise and weeds.
Quartz -- A new report on the progress of artificial intelligence, the AI Index, details the number of women faculty members at what it bills as the top seven worldwide AI universities, among them the University of Illinois.
UC Merced News -- In recognition of his contributions to object tracking and facial 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.