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S. Sitharama Iyengar

Award Recipient

Featured ImageFeatured ImageDr. S. Sitharama Iyengar is a leading researcher in the fields of distributed sensor networks, computational robotics, and oceanographic applications, and is perhaps best known for introducing novel data structures and algorithmic techniques for large scale computations in sensor technologies and image processing applications. Sundaraja Sitharama Iyengar is currently the Roy Paul Daniels Professor and Chairman of the Computer Science Department at Louisiana State University. He also heads the Wireless Sensor Networks Laboratory and the Robotics Research Laboratory at LSU. After receiving his Ph.D. degree in 1974 from Mississippi State University, Professor Iyengar has directed over 42 Ph.D. students and 100 Master's students, many of whom are now either faculty at major universities worldwide or scientists and engineers at National Labs/Industries around the world. He has published more than 400 research papers and has authored or co-authored eight textbooks and edited 10 others. Dr. Iyengar's cutting edge research has been funded by the National Science Foundation (NSF), Defense Advanced Research Projects Agency (DARPA), Multi-University Research Initiative (MURI Program), Office of Naval Research (ONR), Department of Energy/Oak Ridge National Laboratory (DOE/ORNL), Naval Research Laboratory (NRL), National Aeronautics and Space Administration (NASA), and the US Army Research Office (URO) as well as various state agencies and companies. Dr. Iyengar has served on US National Science Foundation and National Institute of Health Panels to review proposals in various aspects of Computational Science and has been involved as an external evaluator (ABET-accreditation) for several Computer Science and Engineering Departments across the United States. Furthermore, Professor Iyengar is the founding editor-In-chief of the International Journal of Distributed Sensor Networks and has been an associate editor for IEEE Transaction on Computers, IEEE Transactions on Data and Knowledge Engineering, and guest editor of Computer Magazine. He has also edited many IEEE journals through advisory roles.
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