René Vidal
Rene Vidal | |
|---|---|
| Born | 1974 (age 50–51) |
| Alma mater | Universidad Catolica de Chile University of California, Berkeley |
| Awards | ACM Fellow (2022) Edward J. McCluskey Technical Achievement Award (2021) AIMBE Fellow (2020) IAPR Fellow (2016) IEEE Fellow (2014) IAPR Aggarwal Prize (2012) Sloan Fellow (2009) ONR Young Investigator Award (2009) NSF CAREER Award (2004) |
| Scientific career | |
| Fields | Machine learning Computer vision Medical Image Computing Robotics Control theory |
| Institutions | University of Pennsylvania Johns Hopkins University |
| Thesis | Generalized Principal Component Analysis (GPCA): An Algebraic Geometric Approach to Subspace Clustering and Motion Segmentation (2003) |
| Doctoral advisor | S. Shankar Sastry |
| Website | www |
René Vidal (born 1974) is a Chilean electrical engineer and computer scientist who is known for his research in machine learning, computer vision, medical image computing, robotics, and control theory. He is the Rachleff University Professor at the University of Pennsylvania, with joint appointments in the Department of Electrical and Systems Engineering in the School of Engineering and Applied Science and the Department of Radiology in the Perelman School of Medicine. He is also the founding director of the Center for Innovation in Data Engineering and Science (IDEAS).