Members

Ganesh Sundaramoorthi, Principal Investigator

Assistant Professor of Electrical Engineering
Assistant Professor of Applied Mathematics and Computational Science

Email: ganesh.sundaramoorthi@kaust.edu.sa
Web: https://sites.google.com/site/ganeshsun/
Phone: +966 (0) 2 808-0425
Office: Al Khawarizmi Applied Mathematics Building 1, Room 2222
Education

PhD, Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, USA (2008)
MS, Mathematics, Georgia Institute of Technology, Atlanta, USA (2005)
BS, Applied Mathematics, Georgia Institute of Technology, Atlanta, USA (2003)
BS, Computer Engineering, Georgia Institute of Technology, Atlanta, USA (2003)

Professional Profile (Detailed Curriculum Vitae, Research Statement)

2011-present: Assistant Professor of EE and AMCS, KAUST
2008-2010: Postdoctoral Researcher, Computer Science Department, University of California, Los Angeles, CA
2007: Visiting Scholar, University of Bologna, Italy, and the Scuola Normale Superiore, Pisa, Italy
2003-2007: Graduate Researcher, School of Electrical & Computer Eng., Georgia Institute of Technology, Atlanta, GA
2004: Research Intern, Siemens Corporate Research, Princeton, NJ



Joining the Computational Vision Lab

The Computational Vision Lab is always on the look-out for exceptional postdoctoral researchers, PhD and Master's students.  We are looking for highly motivated individuals who are interested in performing state-of-the-art computer vision research for diverse application areas such as visual image search, visual object recognition from multiple viewpoints, multimedia video editing for rotoscoping, disease detection / classification from magnetic resonance images (MRI), seismic fault detection for oil exploration, and nano-filter analysis from electron microscopy images for water filtration applications.  Candidates should have a strong mathematical, engineering and programming background, and the desire to both develop the fundamental mathematical models and the engineering system that works in practical real-world scenarios.  Candidates may have backgrounds in Electrical Engineering, Computer Science, Applied Mathematics, Statistics, and/or any other discipline with a strong emphasis on mathematics.

For interested postdocs, please email your CV, statement of interest, and representative publications to the Principal Investigator.  For interested graduate students, please apply directly to KAUST and mention your interest in joining the lab in your statement of purpose.