Sustainable Software Systems for Real Time Applications

Dr. S. Sitharama Iyengar
Ryder Professor of Computer Science
Director of School of Computing and Information Sciences
Florida International University
and
Roy Paul Daniels Professor and Chairman
Department of Computer Science
Louisiana State University

Abstract

Development of software systems for Real Time Applications is at a critical juncture. Investments in software developments for these sytems will require transformative changes in the context of science, design and policies. This talk provides an overview in achieving sustainable software systems for sensor based real time applications. It will also focus on the consumer demand and policy incentives of these applications.

About the Speaker

Dr. Iyengar is a Member of the European Academy of Sciences, a Fellow of the Institute of Electrical and Electronics Engineers (IEEE), a Fellow of the Association of Computing Machinery (ACM), a Fellow of the American Association for the Advancement of Science (AAAS), and a Fellow of the Society for Design and Process Science (SDPS). He has received the Distinguished Alumnus Award of the Indian Institute of Science, the IEEE Computer Society's Technical Achievement Award, and the IEEE Golden Core Member award. Dr. Iyengar has published over 400 research papers in journals and conferences and has authored, co-authored, or edited 14 texts in the areas of parallel algorithms, sensor networks, wavelets, robotics, and computer modeling of complex biological systems. Cited well over 4,500 times, his research has been funded by DARPA, NSF, ONR, DOE, MURI, NRL, ARO, NASA, and state governments and the industry. Dr. Iyengar has graduated 42 Ph.D. students. He 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 IEEE Computer Magazine. Dr. Iyengar is a pioneer in the field of distributed sensor networks, computational aspects of robotics, and oceanographic applications. He is best known for introducing novel data structures and algorithmic techniques for large scale computations in sensor technologies and image processing applications. His work has had significant impacts in buy-at-bulk network design problems which further affect a wide range of practical applications including the areas of communication and transportation networks. He has also pioneered a universal technique for finding the Price of Anarchy of every bottleneck congestion game, extending the game theory to applications in network routing, scheduling and cloud computing.