Synopsis: Dynamic Data Driven Applications Systems – A concept for Intelligent Environments

This talk will discuss the Dynamic Data Driven Applications Systems (DDDAS) concept, driving novel directions in applications and in measurements, as well as in computer sciences and cyber-infrastructure. DDDAS entails the ability to incorporate dynamically additional data into an executing application (these data can be archival or collected on-line), and in reverse the ability of the applications will be able to dynamically steer the measurement process.

The dynamic environments of concern here encompass dynamic integration of real-time data acquisition with compute and data intensive -systems. Enabling DDDAS requires advances in the application modeling methods and interfaces, in algorithms tolerant to perturbations of dynamic data injection and steering, in systems software, and in infrastructure support.

Research and development of such technologies requires synergistic multidisciplinary collaboration in the applications, algorithms, software systems, and measurements systems areas, and involving researchers in basic sciences, engineering, and computer sciences. Such capabilities offer the promise of augmenting the analysis and prediction capabilities of application simulations and the effectiveness of measurement systems, with a potential major impact in many science and engineering application areas.

The concept has been characterized as revolutionary and examples of areas of DDDAS impact include computer and communication systems, information science and technologies, physical, chemical, biological, medical and health systems, environmental (hazard prediction, prevention, mitigation, response), and manufacturing, transportation and critical infrastructure systems.

The talk will address technology advances enabled and driven the DDDAS concept, as well as challenges and opportunities, motivating the discussion with application examples from ongoing research efforts and in particular with emphasis as to Intelligent Environments applications.

Biography

Dr. Darema is the Senior Science Analyst in the Office of the Assistant Director of the Computer and Information Science and Engineering Directorate at NSF. 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 to set corporate-wide strategies. Dr. Darema was elected IEEE Fellow for proposing in 1984 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 systems software technologies (the Next Generation Software Program, and later the Computer Systems Research Program), and research at the interface of neurobiology and computing (the Biological Information Technology and Systems Program). She has led the DDDAS (Dynamic Data Driven Applications Systems) efforts including the synonymous cross-Directorate and cross-agency competition, and has also been involved in other cross-Directorate efforts such as the Information Technology Research, the Nanotechnolgy Science and Engineering, the Scalable Enterprise Systems, and the Sensors 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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Synopsis: Emerging Platforms Promoting Health and Aging in Place

The confluence of three forces will transform the global health landscape in the near future: the world-wide age wave, economics straining current medical care models, and emerging disruptive technologies which will enable new paradigms of care. Informed by nearly a decade of ethnographic studies, Intel’s Digital Health Group is committed to delivering innovative technologies that transform healthcare, improve chronic disease management, and enhance wellness and independence across the continuum of care.

This presentation will describe Intel’s health research efforts focused on developing and validating technologies to shift care to the home, promote prevention and early detection, encourage compliance, and support caregivers. These efforts are enabled through interdisciplinary teams including social scientists who conduct basic exploratory research on human needs and values, designers who invent new ways of interacting with technology, and engineers who create new technologies.

Explorations and technology development culminate in evidence-based pilots to validate new approaches – we will describe research pilots of technologies for social health monitoring, context-aware medication prompting, and objective characterization of Parkinson’s disease.

The complex problems being addressed by Intel’s health research are beyond the capability of any one organization to solve. Realizing that affecting real change requires collaborative effort, Intel works with academic, industry, and government leaders around the world to create an ecosystem to accelerate the benefits of standards-based technological innovation. We will provide an overview of Intel efforts in promoting standards, supporting academic research, and creating consortia to advance research and adoption of technologies for aging and disease management.

Biography

Farzin Guilak has over 20 years of research and development experience in biomedical instrumentation, text classification, and radar signal processing. He joined Intel's Digital Health Group in 2005 and manages the Health Systems Research Lab, the engineering component of an interdisciplinary team chartered with discovering and validating new applications of technology to improve healthcare.

Before joining Intel, Guilak was technical lead and manager of Welch Allyn's Nightingale program, a disruptive innovation lowering the barrier to ECG monitoring with a very low cost, wireless smart sensor for lethal arrhythmia detection. Previously he was Director of R&D at RuleSpace, Inc., where he was responsible for creating pattern recognition technologies implemented in Contexion Services, a parental controls solution used by over 50 million users through AOL, Microsoft, Intel, Yahoo!, and others.

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