Artificial Intelligence Research
Artificial Intelligence research at UR includes work on knowledge representation and reasoning, machine learning, dialog systems, statistical natural language processing, automated planning, AI-based assistive technology, and computer vision. We collaborate with the departments of linguistics and brain and cognitive sciences. We participate in the Center for Language Sciences, the Center for Visual Science, and The Goergen Institute for Data Science.

James F. Allen
Professor Emeritus of Computer Science
Contact Information
- Email Address
- james@cs.rochester.edu
- Research Interests
- Natural language understanding
- Discourse
- Knowledge representation
- Common-sense reasoning
- Planning
James Allen's research interests span a range of issues covering natural language understanding, discourse, knowledge representation, common-sense reasoning, and planning. He held joint appointments in the brain and cognitive sciences and linguistics departments, the Dessauer Chair in Computer Science, and is a fellow of the AAAI. He is the author of the definitive graduate-level textbook Natural Language Understanding, 2nd ed. (Benjamin Cummings, 1994).

Daniel Gildea
Professor of Computer Science
Contact Information
- Office
- 3019 Wegmans Hall
- Telephone
- (585) 275-7852
- Email Address
- gildea@cs.rochester.edu
- Research Interests
- Machine translation
- Semantic parsing
- Algorithms for natural language processing
Dan Gildea is interested in statistical approaches to natural language processing, in particular language understanding and machine translation. He has also worked on language and pronunciation modeling for speech recognition and computational approaches to phonology.

Hangfeng He
Assistant Professor of Computer Science and Data Science
Contact Information
- Office
- 3009 Wegmans Hall
- Telephone
- (585) 275-8848
- Email Address
- hhe15@cs.rochester.edu
- Website
- https://hornhehhf.github.io/
- Research Interests
- Machine learning
- Natural language processing
- Reasoning
Hangfeng He's research interests include machine learning and natural language processing, with a focus on incidental supervision for natural language understanding, interpretability of deep neural networks, and reasoning in natural language.

Christopher Kanan
Associate Professor of Computer Science
Contact Information
- Office
- 3017 Wegmans Hall
- Telephone
- (585) 275-1355
- Email Address
- ckanan@cs.rochester.edu
- Website
- https://chriskanan.com/
- Research Interests
- Artificial Intelligence
- Deep Learning
- Computer Vision
- Cognitive Science
- Applied Machine Learning (e.g. Medical Computer Vision)
Christopher Kanan's research lies in deep learning, with an emphasis on lifelong (continual) machine learning, bias-robust artificial intelligence, medical computer vision, and language-guided scene understanding. He has worked on online continual learning, visual question answering, computational pathology, semantic segmentation, object recognition, object detection, active vision, object tracking, and more. Beyond machine learning, he also has a strong background in eye tracking, primate vision, and theoretical neuroscience.

Jian Kang
Assistant Professor of Computer Science
Contact Information
- Office
- 3011 Wegmans Hall
- Telephone
- (585) 275-7263
- Email Address
- jian.kang@rochester.edu
- Website
- https://jiank2.github.io/
- Research Interests
- Data mining
- Computational social science
- Uncertainty quantification
- Algorithmic fairness
- Trustworthy AI
- Machine learning
Jian's research aims to model and learn our inter-connected world in a fair and reliable way. His interests include data mining and machine learning, trustworthy artificial intelligence, and computational social science.

Henry Kautz
Professor Emeritus of Computer Science
Contact Information
- Email Address
- kautz@cs.rochester.edu
- Research Interests
- Artificial intelligence
- Pervasive computing
- Data science
Henry Kautz's research projects include data mining social media in order to track disease and improve public health; grounded language learning by align text and video; and knowledge representation and reasoning systems that combine logic and probability. He was the Robin & Tim Wentworth Director of the Goergen Institute for Data Science, and is a Fellow of the American Association for the Advance of Science (AAAS).

Jiebo Luo
Albert Arendt Hopeman Professor of Engineering
Professor of Computer Science
Contact Information
- Office
- 3101 Wegmans Hall
- Telephone
- (585) 276-5784
- Email Address
- jluo@cs.rochester.edu
- Research Interests
- Computer Vision
- Machine learning
- Data Mining
- Social Media
- Biomedical Informatics
- Human Computer Interaction
- Ubiquitous and Mobile Computing
Jiebo Luo's research spans image processing, computer vision, NLP, machine learning, data mining, computational social science, and digital health. He is the co-author of the book Deep Neural Network for Medical Image Computing: Principles and Applications (Elsevier, 2022). His research has been recognized by the 2021 Best Long Paper of the North American Chapter of the Association for Computational Linguistics (NAACL), 2018 Best Industrial Related Paper of the International Conference on Pattern Recognition (ICPR), 2014 IEEE Multimedia Prize Paper of the IEEE Transactions on Multimedia (TMM), and the 2010 Best Student Paper of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Lenhart K. Schubert
Professor of Computer Science
Contact Information
- Office
- 3003 Wegmans Hall
- Telephone
- (585) 275-8845
- Email Address
- schubert@cs.rochester.edu
- Research Interests
- Language and dialogue
- Knowledge representation and inference
- Schema learning and schema-based behavior
- Self-motivated agents
Len Schubert's research interests center around language, knowledge representation, inference and planning. These interests are tied together by the general goal of developing agents with common sense and the ability to converse and acquire knowledge through language.

Chenliang Xu
Associate Professor of Computer Science
Contact Information
- Office
- 3005 Wegmans Hall
- Telephone
- (585) 275-5426
- Email Address
- chenliang.xu@rochester.edu
- Research Interests
- Computer Vision
- Video Analysis
- Machine Learning
- Deep Learning
- Multimodal Modeling
Chenliang Xu's research thrusts include computer vision and its relations to natural language, robotics and data science. He primarily focuses on problems in video understanding such as video segmentation, activity recognition, and multimodal vision-and-x modeling. Recent projects include work on cross-modal audio-visual generation, fine-grained actor-action segmentation, and video storytelling.