Artificial Intelligence

A snow dragon realistically inserted into a photograph.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, machine learning and robotics.

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 speech recognition, acoustic monitoring, or trascribing polyphonic music automatically. Crucial to modern artificial intelligence, machine learning methods exploit examples in order to adjust systems to work as effectively as possible. Robotics puts artificial intelligence into practice using machines that perceive and interact with the physical world.

CS Faculty, Affiliate Faculty, and Their Research Interests

Nancy M. Amato Robot Motion and Task Planning, Multi-Agent Systems, Crowd Simulation
Mark A. Anastasio, Bioengineering Machine Learning Methods for Imaging Science, Image Reconstruction, Deep Learning for Inverse Problems
Timothy Bretl, Aerospace Engineering Motion Planning and Control
Kevin C. Chang Machine Learning, AI Applications, Data Management Support for AI
Girish Chowdhary, Agricultural and Biological Engineering Control, Autonomy and Decision Making, Vision and LIDAR Based Perception, GPS Denied Navigation
Minh N. Do, Electrical and Computer Engineering Signal Processing, Computational Imaging, Geometric Vision, Data Science
Margaret Fleck Computational Linguistics, Programming Language Tools 
David A. Forsyth Computer Vision, Object Recognition, Scene Understanding
Roxana Girju, Linguistics Computational Linguistics
Mani Golparvar-Fard, Civil Engineering Computer Vision Analytics for Building and Construction Performance Monitoring
Saurabh Gupta, Electrical & Computer Engineering Computer Vision, Robotics, Machine Learning
Jiawei Han Machine Learning, Natural Language-Based Text Analysis, Text Summarization
Mark Hasegawa-Johnson, Electrical & Computer Engineering Statistical Speech Technology
Kris Hauser Motion Planning, Optimal Control, Integrated Planning and Learning, Robot Systems
Julia Hockenmaier Natural Language Processing, Computational Linguistics 
Derek Hoiem Computer Vision, Object Recognition, Spatial Understanding, Scene Interpretation 
Heng Ji Natural Language Processing, especially on Information Extraction and Knowledge Base Population, as well as its Connections with Computer Vision and Natural Language Generation
Nan Jiang Reinforcement Learning, Machine Learning, Sample Complexity Analyses
Karrie Karahalios HCI for ML, AI Explainability
Volodymyr Kindratenko, National Center for Supercomputing Appplications Cyberinfrastructure for Machine Learning, Maching Learning Systems Research, Deep Learning Applications
Sanmi Koyejo Machine Learning, Neuroscience, Neuroimaging
Steven M. LaValle Robotics, Motion Planning, and Virtual Reality 
Svetlana Lazebnik Computer Vision, Scene Understanding, Visual Learning, Vision and Language
Bo Li Adversarial Machine Learning, Robust Learning
Kenton McHenry, National Center for Supercomputing Applications Cyberinfrastructure for Digital Preservation, Auto-Curation, and Managing Unstructured Digital Collections 
Jian Peng Machine Learning and Optimization 
Paris Smaragdis Machine Learning for Audio, Speech and Music; Signal Processing; Source Separation; Sound Recognition and Classification
Jimeng Sun Deep Learning for Drug Discovery, Clinical Trial Optimization, Computational Phenotyping, Clinical Predictive Modeling, Mobile Health and Health Monitoring, Tensor Factorization, and Graph Mining
Alexander Schwing, Electrical & Computer Engineering Machine Learning, Computer Vision
Matus Telgarsky Machine Learning Theory
Hanghang Tong Explainable AI, Fairness in AI, Adversarial Maching Learning
Tandy Warnow Machine Learning in Computational Genomics

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

Eight CS Faculty and Students Receive Engineering, Campus Awards for Excellence

May 10, 2020   Eight CS faculty and students won Grainger Engineering or campus-level awards for their outstanding contributions to research, teaching, or mentoring.
PaperRobot is an AI-enabled knowledge discovery framework that summarizes important information that aids in decision making.

CS Faculty Produce a Quicker Way to Analyze Deluge of COVID-19 Related Research

May 9, 2020   PaperRobot is an AI-enabled knowledge discovery framework that summarizes important information to aid in decision making.
Heng Ji

For These Female Scientists Who Grew up in China and Found Fame in the US, Gender Equality Needs More Work

May 2, 2020  

South China Morning Post -- Today, Professor Heng Ji is one of the most-referenced authors in her field of NLP but said that female Chinese academics do not get the recognition they deserve. “I want to index the email addresses of all the magnificent women scientists in China, so when the committees in China invite experts to give speeches, they can reference the list and invite females,” said Ji.

A new research consortium chaired by Thomas M. Siebel looks to accelerate innovation in artificial intelligence with the goal of scaling digital transformation.

New $367 million Digital Transformation Institute Seeks Proposals to Use AI to Mitigate COVID-19 Pandemic

April 10, 2020   Chaired by Thomas M. Siebel, a new research consortium has the goal of using AI to scale digital transformation.
Kris Hauser

It's Your Business | Developing Situation at the UI: Helpful Robots

March 30, 2020  

The News-Gazette -- Meet AVATRINA, a robotic nursing assistant under development at the University of Illinois that could potentially deliver some help when the next pandemic comes along. AVATRINA is an updated version of TRINA (Tele-Robotic Intelligent Nursing Assistant) developed by UI Professor Kris Hauser and his research team.