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René Vidal, PhD

Rene Vidal
Research Interests: Machine learning, computer vision, biomedical data science, medical image analysis
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


  • 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



  • 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


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