Scholar
Rene Vidal
Google Scholar ID: uT8fgagAAAAJ
Rachleff University Professor, University of Pennsylvania; Amazon Scholar; Chief Scientist, NORCE
Citations & Impact
Citations
17,735
H-index
58
i10-index
185
Publications
20
Co-authors
126
list available
Contact
Publications
Resume (English only)
Academic Achievements
- ACM Fellow, AIMBE Fellow, IEEE Fellow, IAPR Fellow, and Sloan Fellow; recipient of numerous awards including the IEEE Edward J. McCluskey Technical Achievement Award, D’Alembert Faculty Award, J.K. Aggarwal Prize, ONR Young Investigator Award, NSF CAREER Award, and best paper awards in machine learning, computer vision, controls, and medical robotics.
Research Experience
- Director of THEORINET (an NSF-Simons Collaboration on the Mathematical Foundations of Deep Learning), Amazon Scholar, and an Affiliated Chief Scientist at NORCE.
Education
- Specific educational background details are not provided.
Background
- Rachleff & Penn Integrates Knowledge (PIK) University Professor of Electrical and Systems Engineering & Radiology, and the Director of the Center for Innovation in Data Engineering and Science (IDEAS). His research focuses on the foundations of deep learning and trustworthy AI with applications in computer vision and biomedical data science.
Miscellany
- His research interests span a wide range including machine learning, computer vision, biomedical data science, dynamical systems, robotics, and signal processing.
