Research Interests
Research Interests
In addition to René Vidal’s appointment as a JHU BME professor, he also directs the Center for imaging Science’s Vision Dynamics and Learning Lab. Research centers around several key areas:
- Biomedical image analysis: Surgical gesture and skill recognition, analysis of high angular resolution diffusion imaging (HARDI), classification of stem cell derived cardiac myocites, interactive medical image segmentation
- Computer vision:
camera sensor networks,
activity recognition,
dynamic texture segmentation and recognition, 3D motion segmentation,
non-rigid shape and motion analysis, structure from motion and multiple view geometry, omnidirectional vision - Machine learning:
manifold clustering, kernels on dynamical systems, GPCA, kernel GPCA, dynamic GPCA - Dynamical systems:
observability, identification, realization, metrics and topology for hybrid systems - Robotics:
formation control of teams of non-holonomic robots,
coordination and control of multiple autonomous vehicles for pursuit-evasion games,
multiple view motion estimation and control for landing an unmanned aerial vehicle - Signal processing:
consensus on manifolds, distributed optimization, compressive sensing.
Keen focus on the development of computational methods includes: 1) inferring models from images (image/video segmentation, motion segmentation), static data (subspace clustering) or dynamic data (identification of hybrid systems); and 2) using these models to accomplish a complex task — such as tracking fibers in the brain, recognizing actions in videos, landing a helicopter on a moving platform, pursuing a team of evaders, or following a formation.
Titles & Affiliations
Titles
- Herschel L. Seder Professor, Biomedical Engineering
- Professor, Computer Science
- Professor, Electrical & Computer Engineering
- Professor, Mechanical Engineering
- Director, Mathematical Institute for Data Science
Affiliated Centers & Institutes
Education
Education
- PhD, Electrical Engineering and Computer Sciences, University of California at Berkeley, 2003
- MS, Electrical Engineering and Computer Sciences, University of California at Berkeley, 2000
- MS, Engineering, Automatic Control, Catholic University of Chile, 1997
- BS, Electrical Engineering, Catholic University of Chile, 1995
Faculty News
Recent Highlights
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December 22, 2021Vidal was recognized "for pioneering contributions to subspace clustering and generalized principal component analysis with applications in computer vision and pattern recognition.”
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June 28, 2021Using a $7.5 million, five-year grant from the U.S. Department of Defense, a multi-university team that includes Johns Hopkins engineers is tackling one of today's most complex and important technological challenges: How to ensure the safety of autonomous systems, from self-driving cars and aerial delivery drones to robotic surgical assistants.
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August 25, 2020René Vidal, the Herschel L. Seder Professor in Johns Hopkins Department of Biomedical Engineering, is leading a team of engineers, mathematicians, and theoretical computer scientists from multiple institutions who seek to revolutionize our understanding of the mathematical and scientific foundations of deep learning.
Media