Education
Master of Science, University Illinois, Urbana-Champaign, 1988. Doctor of Philosophy, University Illinois, Urbana-Champaign, 1992.
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Ravi Chandrasekara Venkatesan
Edit ProfileCareer
Research director Systems Research Corporation, since 1999. Invited researcher, lectr, speaker Australian National University, Institut National de Recherche en Informatique et Automatique Sophia-Antipolis, Computational Neuro Engineering Laboratory, University Florida, Gainsville, Optical Sciences Center, University Arz., Tucson, Russian Academy of Sciences, Moscow State University, Weizmann Institute of Science, Israel Institute of Technology, Scripps Institute Oceanography, Applied Research Laboratory, Johns Hopkins University. Member advisory panel Silicon Dot Com.
Invited researcher, lectr, speaker University California Santa Barbara, University California Los Angeles, University Kent, Canterbury. Contract Research and Development-MSR. Review premier science journ: Physica A & Chemical Physics Letters.
Achievements
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First to design generalized (nonextensive, deformed) statistical mechanics based paradigms & algorithms for both sequential & massively parallel computing archit., for complex systems exhibiting correlations, fluctuations, and long range interactions in machine learning (information bottleneck method & deterministic annealing). Pioneered research in generalized statistics & machine learning paradigms (information bottleneck method) in physical cryptoanalysis. Development of generalized statistics free energy model for unmixing of endmembers in hyperspectral remote sensing using unsupervised learning.
First to developed a methodology for projecting covert information into statistical distributions inferred using the inverse maximum entropy principle and an information theoretic (Fisher) game. Development of a q-deformed Grover search algorithm in quantum computing based on the q-deformed time dependent Schroedinger equation, which serves as a prospective tool to develop generalized statistical physics connotations to the Grover algorithm. Development of relation between the Heisenberg uncertainty principle and cost functions for fuzzy clustering using a discrete variational complex.
Pioneered the formulation of invariant numerical schemes for simulating laser-plasma interaction, and, in computer vision applications for both sequential and massively parallel computing architectures.
