Conference Keynotes

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Keynote by Sumit Ghosh

A New Era in Complex Information Technology System Design: Bootstrapping Modeling and Simulation with FPGA-based Hardware Synthesis


Information Technology (IT) systems are already pervasive and promise to become even more encompassing, powerful, capable, and useful in the future. The lack of a systematic and scientific IT system design methodology has compelled system designers to resort to ad hoc techniques, as a result of which, many of today's IT systems suffer from lack of accuracy, security, and reliability, and succumb to frequent failures.
Consider, for example, a series of successive power failures in different regions across the US, eventually resulting in the loss of the entire power grid. According to the literature, a scientific principle that can systematically bring the power stations back on-line without causing them to trip over and set off a cascading, domino effect, is unknown at the present time. Clearly, to address the growing need for larger and more complex IT systems in the future, it is imperative to develop a scientific design methodology that will yield precise, secure, and robust IT systems.
Careful examination reveals that while the design paradigm for most of the current IT systems are ad hoc, a few have employed analytic modeling, and an even fewer have utilized centralized simulation techniques. Neither analytic modeling nor centralized simulation can, in general, accurately capture reality. Recent literature contains references to the use of behavior modeling and large-scale asynchronous distributed simulation that yields results close to reality. Despite this significant advance, industry has not rushed out to embrace the results of asynchronous distributed simulation and utilize them in the design of new IT systems.
The result is a continuing void -- lack of migration of innovative IT ideas into new and meaningful products and services. Even the defense and government agencies in the US are finding it hard to get industry to manufacture new network security products, except at an exorbitant cost.
This presentation will focus on a revolutionary new approach that bootstraps modeling and asynchronous distributed simulation with field programmable gate arrays (FPGAs) based fast hardware/software prototyping, subject to innovative metric design. It employs a new principle to realize hybrid analog/discrete system design in a single framework. The approach is capable of delivering precise and reliable IT products, quickly and economically, and promises to revolutionize complex IT system design just as VLSI had brought about a revolution in circuit design in the early 1980s.

Sumit Ghosh is the Thomas E. Hattrick Professor of Information Systems Engineering in the Department of Electrical and Computer Engineering at Stevens Institute of Technology in Hoboken, New Jersey. He also serves as the director of the computer engineering program. Prior to Stevens, he had served as the associate chair for research and graduate programs in the Computer Science and Engineering Department at Arizona State University, before which he had been on the faculty at Brown University, Rhode Island, and even before that he had been a member of technical staff (principal investigator) at Bell Laboratories Research in Holmdel, New Jersey. He received his B. Tech degree from the Indian Institute of Technology at Kanpur, India, and his M.S. and Ph.D. degrees from Stanford University, California. Sumit's additional industrial experience includes Silvar-Lisco in Menlo Park, CA., Fairchild Advanced Research and Development, and Schlumberger Palo Alto Research Center. His research focuses on fundamental and challenging yet practical problems that are of potential benefit to society. Principal areas include next generation nVHDL, next generation secure ATM network design, next generation IP router architecture, determining network operating point for operational networks, deep space networking and distributed visualization, and next generation asynchronous distributed simulation-based netcentric complex system design, validation, and testing. A more detailed list of current research pursuits may be viewed at the URL site,$\sim$sghosh2.
Sumit is the author/co-author of three original monographs/books: Hardware Description Languages: Concepts and Principles (IEEE Press, 2000); Modeling and Asynchronous Distributed Simulation of Complex Systems (IEEE Press, 2000); and Intelligent Transportation Systems: New Principles and Architectures (CRC Press, 2000). Sumit has written 85+ transactions/journal papers and 80+ refereed conference papers. He serves as associate editors for the Transactions of the Society for Computer Simulation International, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Systems, Man, and Cybernetics, and is on the editorial board of the IEEE Press Book Series on Microelectronic Systems Principles and Practice. Sumit is the founder (1995) of the Networking and Distributed Algorithms Lab. at ASU. Sumit is a US citizen. Sumit has held visiting professor positions at Federal University of Rio de Janeiro (Brazil), University of Marseilles (France),and Kuwait University (Kuwait).

Keynote by Erol Gelenbe, Khaled Hussain and Varol Kaptan

Simulating Autonomous Agents with Augmented Reality


n many applications such as airport operations (for capacity planning), military simulations (for tactical planning), and medical simulations (for the planning of surgical operations), it is very useful to conduct simulations within physically realistic contexts which are represented by real video imaging sequences.
Furthermore, it is important that the simulated entities conduct autonomous actions which are realistic and which follow plans of action or intelligent behavior in reaction to current situations. In this paper we describe the work we have conducted to incorporate intelligent and realistic behavior within an augmented reality setting. We discuss both the computer vision aspects that we have addressed and solved, and the issues related to the design of animated intelligent objects within the simulation.


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