Handbook of Dynamic Data Driven Applications Systems: Volume 3

This handbook is an authoritative reference on the Dynamic Data Driven Applications Systems paradigm, pioneered by Dr. Darema, and contains DDDAS-based work conducted by contributing co-authors in numerous areas, to benefit science and technology researchers and practitioners developing DDDAS-based technologies.

Beginning with general concepts and history of the DDDAS paradigm in the introductory chapter, this Third Volume in the series contains 33 chapters contributed by leading experts and is organized in nine thematic areas, spanning natural, engineered, or societal systems to enable an accurate understanding, analysis, and control of corresponding complex systems. The thematic areas cover fundamental and foundational methods; materials, structural, and energy systems; healthcare and situation awareness systems; air and space, communications, and cyber systems.

The work presented shows how DDDAS unifies the computational and instrumentation aspects of an application system, extends computing notions to span from the high-end to the edge computing and real-time data acquisition and control, adaptively manages the operation of complex, distributed, multimodal systems through high-dimensional, systems-cognizant model-coordination and multi-objective optimization of resources and service delivery; supports methodologies for achieving autonomic and enhanced AI capabilities; DDDAS is foundational concept for Predictive Digital Twins and Dynamic Digital Twins.

The authorsexplain how DDDAS unifies the computational and instrumentation aspects of an application system, extends the notion of Smart Computing to span from the high-end to the real-time data acquisition and control, and manages Big Data exploitation with high-dimensional model coordination.

Erik P. Blasch, Ph.D./MBA, is a research engineer focused on information fusion performance evaluation, multi-modal image fusion, multi-domain avionics, space situational awareness, and human-machine integration He received his B.S. in Mechanical Engineering from the Massachusetts Institute of Technology and Ph.D. in Electrical Eng. from Wright State University in addition to numerous Master's Degrees in Mech. Eng., Ind. Eng., Health Science, Elect. Eng., Economics, Psychology, Medicine, and Military Studies. His affiliations include adjunct associate professor, President of professional societies, member of the International Society of Information Fusion (ISIF) Evaluation of Techniques for Uncertainty Representation Working Group (ETURWG), and member of the IEEE Avionics Systems Technical Panel. He has compiled 16 books, 68 patents, 182+ journal papers, and 500+ peer-reviewed publications. His contributions include: physics-based and human-derived information fusion (PHIF), the data fusion information group (DFIG) model, confusion-matrix data fusion, game-theoretic space situational awareness, evidential reasoning simultaneous tracking and identification (STID) filtering, and the multisource AI scorecard table (MAST). He is the recipient of 21 performance medals, 8 named awards, as well as Fellow of AIAA (astronautics), IEEE (electrical), MSS (sensing), RAeS (aerospace), and SPIE (optical) societies.

Frederica Darema, PhD, is the President and CEO of the InfoSymbiotic Systems Society. Retired (2019) as Senior Executive Service (SES) member and as Director of the Air Force Office of Scientific Research, in Arlington, Virginia, where she led the entire basic research S&T investments for the AF; also served in the Office of the Secretary of the Air Force, as Research Director in the Air Force's Chief Data Office, and as Associate Deputy Assistant Secretary in the Air Force Office for Science, Technology and Engineering.
Prior career history includes: Research Staff positions at the University of Pittsburgh, Brookhaven National Laboratory, and Schlumberger-Doll; management and executive-level positions at: T.J.Watson IBM Research Center and IBM Corporate Strategy Group; National Science Foundation and Defense Advanced Research Projects Agency; Director of the AFOSR Directorate for Information, Math, and Life Sciences.
Dr. Darema received her PhD (University of California at Davis) in Nuclear Physics, and as Fulbright Scholar and Distinguished Scholar. She is IEEE Life Fellow; WAAS Fellow (World Academy of Arts and Sciences), among other distinctions. Made seminal contributions in computational sciences and the supercomputing field (pioneered: the SPMD computational model; and the DDDAS paradigm). She serves on university Advisory Boards and governmental research review panels; and she is co-Editor of the DDDAS Handbooks and Conferences Proceedings.

Alex J. Aved, PhD, is a Senior Researcher with the Air Force Research Laboratory, Information Directorate, Rome, NY, USA. His research interests include multimedia databases, stream processing (via CPU, GPU, and emerging integrated circuit architectures), and dynamically executing models with feedback loops incorporating measurement and error data to improve the accuracy of the model. He has published over 100 papers and given numerous invited lectures. Previously, he was a programmer at the University of Central Florida and database administrator and programmer at Anderson University.