Rene Vidal


Primary Appointment: Biomedical Engineering

Research Interests

  • Biomedical image analysis: Surgical gesture and skill recognition, analysis of high angular resolution diffusion imaging (HARDI), classification of stem cell derived cardiac myocytes, 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.

Awards and Honors

  • 2012:  Best Paper Award for paper entitled “Intrinsic Consensus on SO(3) with Almost-Global Convergence – ” IEEE Conference on Decision and Control – 2012
  • 2012:  Best Paper Award in Medical Robotics and Computer Assisted Interventions for paper entitled ‘Surgical Gesture Classification from Video Data’ – MICCAI 2012
  • 2012:  J. K. Aggarwal Prize “for outstanding contributions to generalized principal component analysis (GPCA) and subspace clustering in computer vision and pattern recognition – ” 2012
  • 2011:  Best Paper Award Finalist for paper entitled ‘Average Consensus on Riemannian Manifolds with Bounded Curvature’ – 50th IEEE Conference on Decision and Control – 2011


Secondary Appointment: Department of Electrical and Computer Engineering

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