Scholar
Christopher Kanan
Google Scholar ID: jMxZjBoAAAAJ
University of Rochester
Citations & Impact
Citations
13,231
H-index
44
i10-index
74
Publications
20
Co-authors
176
list available
Publications
Resume (English only)
Academic Achievements
- - 2025/01: Serving as an Associate Program Chair for the Conference on Lifelong Learning Agents (CoLLAs).
- - 2024/09: Our paper on understanding out-of-distribution generalization was accepted to NeurIPS-2024!
- - 2024/07: Our paper on the foundation model Virchow was published in Nature Medicine!
- - 2024/03: Elected as a Senior Member of AAAI!
- - 2023/12: My PhD student Robik Shrestha defended his dissertation on VQA and bias robust AI! He is joining Amazon AGI.
- - 2023/09: Won an NSF grant with Dhireesha Kudithipudi and others for $2M!
- - 2023/09: Won a DoE grant with Riccardo Betti and others for $3M to use generative AI to advance nuclear fusion research!
- - 2023/08: Lab alumnus Dr. Ron Kemker won the Harold Brown Award from the USAF!
- - 2022/08: Honored to be profiled in Quanta Magazine.
- - 2022/07: Our paper on OccamNets was accepted to ECCV-2022 as an Oral!
- - 2021/09: Honored to have received an NSF CAREER Award!
- - 2021/09: Led by Cissi Alm, we won an NSF NRT award for $2M to improve graduate student training in AI!
Research Experience
- - 2018 to 2022: Executive leader at Paige.AI, spearheading AI research that led to the first FDA-cleared AI system in pathology, Paige Prostate.
- - Since 2022: Tenured Associate Professor of Computer Science at the University of Rochester, leading the Hajim School of Engineering & Applied Sciences’ AI Initiative.
- - Previously, tenured Associate Professor at the Carlson Center for Imaging Science at RIT, co-founded the Center for Human-aware AI (CHAI), and served as its Associate Director for four years.
- - 2019 – 2022: Visiting professor at Cornell Tech, teaching a course on Deep Learning to about 100 graduate students annually.
Education
- - Ph.D. from UC San Diego (UCSD)
- - Postdoctoral Scholar at Caltech
- - Scientist at NASA JPL
Background
- - Research Interests: Deep continual learning, multi-modal scene understanding, visual question answering, self-supervised learning, medical computer vision (pathology and radiology), semantic segmentation, object recognition, active vision, object tracking, and more.
- - Professional Fields: Artificial Intelligence, Cognitive Science, Primate Vision, Theoretical Neuroscience, Eye Tracking.
