Christopher Kanan
Research Faculty
Christopher Kanan
Research Faculty
Education
BS, Oklahoma State University; MS, University of Southern California; Ph.D., University of California
Bio
I’m a professor in the Carlson Center for Imaging Science at the Rochester Institute of Technology (RIT). I’m also Associate Director of RIT’s Center for Human-aware AI (CHAI), and Affiliate Faculty in RIT’s Computer Science Department. I am a member of the McNair Scholars Advisory Board, part of RIT’s Division of Diversity and Inclusion. I direct the Machine and Neuromorphic Perception Laboratory (a.k.a., kLab). My lab’s main focus is basic research in task-driven scene understanding and lifelong machine learning. Our recent work has focused on visual question answering (VQA) and incremental learning in deep networks. We also do applied research in using deep learning to solve problems in computer vision. In the past, I have worked on semantic segmentation, object recognition, object detection, active vision, object tracking, and more. Beyond machine learning, I also have a strong background in eye tracking, primate vision, and theoretical neuroscience.
In the News
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January 31, 2022
AI research collaboration begins
Cecilia Alm, an associate professor in RIT’s College of Liberal Arts, was awarded nearly $2 million by the National Science Foundation to lead a team of RIT faculty addressing a lack of diversity in the artificial intelligence research community and gaps in AI curricula.
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January 31, 2022
Scholars earn coveted early career awards
Three faculty members who chose to start their research careers at RIT received prestigious National Science Foundation CAREER Awards in 2021. Their research aims to advance the foundations of machine intelligence, artificial intelligence, and clean energy.
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September 21, 2021
RIT awarded nearly $2 million for NSF Research Traineeship Program, AWARE-AI
To help address a lack of diversity, as well as gaps in AI curricula, RIT was awarded a grant of nearly $2 million by the NSF to create a new research traineeship program for graduate students