Vinod Valsalam
Ph.D. Student
Department of Computer Sciences
The University of Texas at Austin
Email: vkv (at) cs (dot) utexas (dot) edu
Research Interests
My current research is in building efficient artificial learning systems modelled on nature by
combining influences of evolution, development and environment. I am a member of the
Neural Networks Research Group
headed by Prof. Risto Miikkulainen.
Teaching Assistant
Resume [pdf]
Publications
- Vinod Valsalam, Risto Miikkulainen, "Modular Neuroevolution for Multilegged Locomotion," In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2008)
(Winner of the Best Paper Award in the Artificial Life, Evolutionary Robotics, Adaptive Behavior, and Evolvable Hardware track)
pdf
- Vinod Valsalam, James A. Bednar, Risto Miikkulainen, "Developing Complex Systems using Evolved Pattern Generators," IEEE Transactions on Evolutionary Computation 11(2): 181-198 (2007)
pdf
- Vinod Valsalam, James A. Bednar, Risto Miikkulainen, "Establishing an Appropriate Learning Bias Through Development," In Proceedings of the International Conference on Development and Learning (ICDL5) (2006)
pdf
- Vinod Valsalam, James Bednar, Risto Miikkulainen, "Constructing Good Learners using Evolved Pattern Generators," In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2005)
(Winner of the Best Paper Award in the A-Life, Evolutionary Robotics and Adaptive Behavior track)
pdf
- Vinod Valsalam, Anthony Skjellum, "A framework for high-performance matrix multiplication based on hierarchical abstractions, algorithms and optimized low-level kernels," Concurrency and Computation: Practice and Experience, 14(10): 805-839 (2002)
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- Vinod Valsalam, Donna Reese, "Tools for Improving the Out-of-core Performance of Data and Computation Intensive Applications," In Proceedings of the 1999 Symposium on Performance Evaluation of Computer and Telecommunication Systems (SPECTS'99)