Campus Event Calendar
Event Entry
New for: D1, D2, D3, D4, D5
What and Who
Adaptive Embedded Systems
Devika Subramanian
Rice University
SWS Colloquium
Devika Subramanian obtained her undergraduate degree in electrical
engineering and computer science from the Indian Institute of
Technology, and her PhD in computer science from Stanford
University in 1989. She is presently a Professor of Computer Science
at Rice University, where she has been on the faculty since 1995. Her
research interests are in the design and analysis of embedded adaptive
systems and their applications in science and engineering
(http://www.cs.rice.edu/~devika). Subramanian served as co-Program
Chair for AAAI in 1999, and was on the IJCAI Advisory Board in 2001.
She has given many invited lectures on her work. She has
won teaching awards at Stanford, Cornell and at Rice. Her research
has been funded by the National Science Foundation, National
Institutes of Health, Office of Naval Research, Defense Advanced
Research Projects Agency, and the Texas Advanced Technology Program.
AG 1, AG 2, AG 3, AG 4, AG 5, SWS
Expert Audience
English
Note: We use this to send email in the morning.
Date, Time and Location
Monday, 3 July 2006
14:00
-- Not specified --
E1 5
024
Saarbrücken
Abstract
Adaptive Embedded Systems
While embedded systems are ubiquitous, adaptive ones are not. My research goal is
to push the science and engineering of adaptive embedded systems by exploring the
addition of adaptivity to a diverse variety of complex
systems. I will present
my work on four current projects (1) tracking human learning on a complex
visual-motor task (2) predicting conflict from events data extracted
from wire stories
(3) customizing application-specific compiler optimization sequences,
and (4) learning regulatory
networks in normal and cancer cells.
While embedded systems are ubiquitous, adaptive ones are not. My research goal is
to push the science and engineering of adaptive embedded systems by exploring the
addition of adaptivity to a diverse variety of complex
systems. I will present
my work on four current projects (1) tracking human learning on a complex
visual-motor task (2) predicting conflict from events data extracted
from wire stories
(3) customizing application-specific compiler optimization sequences,
and (4) learning regulatory
networks in normal and cancer cells.
Contact
Brigitta Hansen
681 9325200
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logged in users only
Carina Schmitt, 07/03/2006 12:53
Carina Schmitt, 05/30/2006 15:55
Brigitta Hansen, 05/30/2006 15:48
Brigitta Hansen, 05/30/2006 15:46 -- Created document.
Carina Schmitt, 05/30/2006 15:55
Brigitta Hansen, 05/30/2006 15:48
Brigitta Hansen, 05/30/2006 15:46 -- Created document.