- Ph.D., Electrical and Computer Engineering, Georgia Institute of Technology, United States, 2008
- M.S., Mathematics, Georgia Institute of Technology, United States, 2005
- B.S., Applied Mathematics, Georgia Institute of Technology, United States, 2003
Ganesh Sundaramoorthi was an Assistant Professor of Electrical Engineering and jointly Assistant Professor of Applied Mathematics and Computational Science at KAUST starting in 2011. He is currently Principal Research Scientist at United Technologies Research Center in East Hartford, CT, USA, formulating computer vision algorithms for robotic inspection applications.
Education and Early Career
His PhD is in Electrical and Computer Engineering from the Georgia Institute of Technology in Atlanta, GA, USA in 2008. His PhD developed fundamental shape optimization methods for computer vision that aided in technology for video tracking, and medical image analysis.
During his time in KAUST, he directed the Computational Vision Lab, which developed novel mathematics and algorithms, as well as software for video and image understanding technology. His fundamental optimization algorithms have led to advancements in motion-based video segmentation and detection. His group also developed technology for seismic image analysis, electron microscopy images, and medical (MRI & CT) images. Prior to KAUST, he was a postdoctoral research associate with Prof. Stefano Soatto in the Vision Lab at the University of California, Los Angeles from 2008 to 2010.
His research lies in both theory and application of computer vision. He develop fundamental mathematical methods at the intersection of optimization, geometry, partial differential equations, and statistics for advancing computer vision.