Designing Adaptive Embedded Systems

Adaptive System Design

  1. Understanding human learning on a complex navigation task,
  2. Building models of conflict evolution from events data extracted from wire reports,
  3. Building regulatory cellular networks from high-throughput biological data
  4. Designing customized optimization sequences for compiling programs

Speaker Details

Devika Subramanian obtained her undergraduate degree in electrical engineering and computer science from the Indian Institute of Technology Kharagpur, 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, including an invited lecture at IJCAI 1993 on her work on opto-mechanical design. 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.

Date:
Speakers:
Devika Subramanian
Affiliation:
Rice University

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