Saurabh Prasad received the B.Tech degree in Electrical Engineering from J.M.I., New Delhi, India, in 2003, the M.S. degree in Electrical Engineering from Old Dominion University, Norfolk, VA, U.S.A., in 2005. He received his PhD degree in Electrical Engineering at Mississippi State University, Mississippi State, MS, U.S.A. in 2008.

In January 2012, he joined the University of Houston’s Electrical and Computer Engineering department as an assistant professor, and is also a member of the Geosensing Systems Engineering (GSE) research center and the NSF funded National Center for Airborne Laser Mapping (NCALM) at UH. His research interests include statistical pattern recognition, adaptive signal processing, kernel classifiers, and their application to medical imaging, automatic target recognition and land cover classification in hyperspectral remote sensing applications. In particular, his current research work involves the use of information fusion techniques for designing robust statistical pattern classification algorithms for hyperspectral remote sensing systems operating under low SNR, mixed pixel and small-training-sample-size conditions.

Dr. Prasad is an active reviewer for the IEEE Transactions on Geoscience and Remote Sensing, the IEEE Geoscience and Remote Sensing Letters and the Elsevier Pattern Recognition Letters. He was awarded the Geosystems Research Institute’s Graduate Research Assistant of the Year award in May 2007, and the office-of-research outstanding graduate student research award in April 2008 at Mississippi State University. In July 2008, he received the best student paper award at IGARSS’2008 held in Boston, MA. In October 2010, he received a StatePride Faculty Award at Mississippi State University for his academic and research contributions. He was the lead editor of the book – Optical Remote Sensing: Advances in Signal Processing and Exploitation, published by Springer in March 2011 (Relevant URLs: Springer’s website for the book; A book review by Dr. John Richards published in the June 2011 IEEE GRSS newsletter, pp. 17-18).