Current Home Page at the University of Washington

Assistant Professor, Computer Science and Engineering, University of Washington (starting 11/15/00)

Alumnus (CNL and Sloan Center for Theoretical Neurobiology),Salk Institute (1997-2000)

Rajesh P.N. Rao

Ph.D., University of Rochester, 1998

The primary goal of my research is to discover the computational principles underlying the brain's remarkable ability to learn, process and store information, and to apply this knowledge to the task of building adaptive robotic systems and artificially intelligent agents. Some of the questions that motivate my research include: How does the brain learn efficient representations of novel objects and events occurring in the natural environment? What are the algorithms that allow useful sensorimotor routines and behaviors to be learned? What computational mechanisms allow the brain to adapt to changing circumstances and remain fault-tolerant and robust? By investigating these questions within a computational and probabilistic framework, it is often possible to derive algorithms that not only provide functional interpretations of neurobiological properties but also suggest solutions to difficult problems in computer vision, speech, robotics and artificial intelligence. Some illustrative examples of my research efforts in these directions are summarized here. A list of publications can be found here. Click here for a copy of my CV.

NIPS*98 Workshop on Statistical Theories of Cortical Function

Recent Publications:

Learning in Mobile Robots:

Rajesh Rao
The Salk Institute, CNL & Sloan Ctr
10010 N. Torrey Pines Road
La Jolla, CA 92037


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