TITLE: Dynamic Data Driven Applications Systems

SPEAKER: Dr. Frederica Darema, Senior Science and Technology Advisor,
CISE/NSF

ABSTRACT:  The  concept of  Dynamic  Data  Driven Application  Systems
(DDDAS)  entails  a dynamic  and  symbiotic  feed-back control  system
between  executing applications  and measurements.  DDDAS  creates the
ability to  incorporate dynamically additional data  into an executing
application  (these data can  be archival  or collected  on-line), and
reversely,  applications  will  be   able  to  dynamically  steer  the
measurement   process.   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.  Enabling  DDDAS requires advances in  the application modeling
methods  and interfaces,  in algorithms  tolerant to  perturbations of
dynamic  data  injection and  steering,  and  in  systems software  to
support  the  dynamic  environments  of  concern  here.  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. The
talk  will  address  specifics  on such  technology  challenges,  will
provide examples from ongoing  research projects, and will discuss the
recenlty announced Program Solicitation on DDDAS.


BIO: Dr. Darema is Senior  Science and Technology Advisor in CISE/NSF,
and   a   Director   of    the   Computer   Systems   Research   (CSR)
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. 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.    She  has   developed  initiatives  for   new  software
capabilities,  she created  and managed  the Next  Generation Software
Program  (NGS)   which  now  has   been  incorporated  into   the  CSR
Program. She  has developed programs at the  interface of neurobiology
and computing (BITS).  She also has fostered the  concept Dynamic Data
Driven  Application  Systems  (DDDAS),  and is  leading  the  recently
announced program solicitation on DDDAS. Also she has been involved in
the  Nanotechnolgy Science  and Engineering,  the  Scalable Enterprise
Systems, and the Sensors programs (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.