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James F. Allen

Professor Emeritus of Computer Science

Contact Information
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

Daniel Gildea

Professor of Computer Science

Contact Information
Office
3019 Wegmans Hall
Telephone
(585) 275-7852
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.

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Hangfeng He

Assistant Professor of Computer Science and Data Science

Contact Information
Office
3009 Wegmans Hall
Telephone
(585) 275-8848
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

Christopher Kanan

Associate Professor of Computer Science

Contact Information
Office
3017 Wegmans Hall
Telephone
(585) 275-1355
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.

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Jian Kang

Assistant Professor of Computer Science

Contact Information
Office
3011 Wegmans Hall
Telephone
(585) 275-7263
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

Henry Kautz

Professor Emeritus of Computer Science

Contact Information
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

Jiebo Luo

Albert Arendt Hopeman Professor of Engineering

Professor of Computer Science

Contact Information
Office
3101 Wegmans Hall
Telephone
(585) 276-5784
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

Lenhart K. Schubert

Professor of Computer Science

Contact Information
Office
3003 Wegmans Hall
Telephone
(585) 275-8845
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

Chenliang Xu

Associate Professor of Computer Science

Contact Information
Office
3005 Wegmans Hall
Telephone
(585) 275-5426
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.