BS, Oklahoma State University; MS, University of Southern California; Ph.D., University of California
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
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
September 16, 2021
Christopher Kanan earns NSF CAREER Award to develop brain-inspired AI systems
Christopher Kanan, an associate professor in the Chester F. Carlson Center for Imaging Science, received an NSF Faculty Early Career Development (CAREER) award and grant for his five-year project to expand the capabilities of artificial intelligence systems using new brain-inspired methods.