Title: Dynamic Data Driven Application Systems

Abstract: This talk will address a new paradigm of symbiotic application & measurement systems, namely applications that can accept and respond dynamically to new data injected into the executing application, and reversely, the ability of such application systems to dynamically control the measurement processes. The synergistic feedback control-loop between application simulations and measurements can open new domains in the capabilities of simulations with high potential pay-off: create applications with new and enhanced analysis and prediction capabilities and enable a new methodology for more efficient and effective measurement processes. This new paradigm has the potential to transform the way science and engineering are done, and induce a major impact in the way many functions in our society are conducted, such as manufacturing, commerce, transportation, hazard prediction/management, and medicine. The advent of Grid Computing and Sensor Systems feature essentially as relevant technologies in the infrastructure supporting DDDAS systems, together with new advances needed in software technologies. The talk will address the new opportunities, the challenges, and the applications', algorithms' and systems' software technologies needed to enable such capabilities, and will showcase ongoing research in these aspects with examples from several important application areas.

Bio:

Dr. Darema is the Senior Science and Technology Advisor in ACIR and CISE, and Director of the Next Generation Software (NGS) Program. Dr. Darema's interests and technical contributions span the development of parallel applications, parallel algorithms, programming models, environments, and performance methods and tools for the design of applications and of software for parallel and distributed systems.

Dr. Darema received her BS degree from the School of Physics and Mathematics of the University of Athens - Greece, and MS and Ph. D. degrees in Theoretical Nuclear Physics from the Illinois Institute of Technology and the University of California at Davis Respectively, where she attended as a Fulbright Scholar and a Distinguished Scholar. After Physics Research Associate positions at the University of Pittsburgh and Brookhaven National Lab, she received an APS Industrial Fellowship and became a Technical Staff Member in the Nuclear Sciences Department at Schlumberger-Doll Research. Subsequently, in 1982, she joined the IBM T. J. Watson Research Center as a Research Staff Member in the Computer Sciences Department and later-on she established and became the manager of a research group at IBM Research on parallel applications. While at IBM she also served in the IBM Corporate Strategy Group examining and helping set corporate-wide strategies. In 1984 Dr. Darema proposed the SPMD (Single-Program-Multiple-Data) computational model that has become the popular model for programming today's parallel and distributed computers.

Dr. Darema has been at NSF since 1994, where she has developed initiatives for new software capabilities, a new paradigm for applications (DDDAS), and pushing for research in the interface of neurobiology and computing. The NGS, the BITS, and the Scalable Enterprise Systems programs foster such ideas. She is also managing the Dynamic Data Driven Application Systems (DDDAS; an ITR component), and involved in the Nanotechnolgy Science and Engineering, and the Scalable Enterprise Systems (cross-Directorate programs). During 1996-1998 she completed a two-year assignment at DARPA where she initiated a new thrust for research on methods and technology for performance engineered systems.

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