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
|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|
|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
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.
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.
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.
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."