John Fisher is a a Senior Research Scientist at CSAIL where he runs the Sensing, Learning, and Inference Group analyzing complex, high-dimensional data sources in a variety of application domains. His group develops scalable algorithms with theoretical performance guarantees utilizing physics-based sensor models by combining elements of Bayesian inference, information theory, optimization, and machine learning.
His research considers fundamental problems in probabilistic inference, information planning, scene understanding, and Bayesian structural inference. Applications areas include multi-modal data fusion, distributed inference under resource constraints, multi-object tracking, and accelerated materials design.
He received a BS and MS in Electrical Engineering at the Univsersity of Florida in 1987 and 1989, respectively. He earned a PhD in Electrical and Computer Engineering in 1997.
The shared mission of Visual Computing is to connect images and computation, spanning topics such as image and video generation and analysis, photography, human perception, touch, applied geometry, and more.
Our researchers create state-of-the-art systems to better recognize objects, people, scenes, behaviors and more, with applications in health-care, gaming, tagging systems and more.
