Curriculum Vitae

Education

Ph.D., Computer Science
Penn State

M.S., Computer Science
Penn State

B.Tech., Computer Science and Engineering
Indian Institute of Technology

Contact Information

Email
Website
615-343-1339
121 Kirkland Hall


Padma Raghavan

Professor of Computer Science and Computer Engineering


Electrical Engineering and Computer Science


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Research Focus

Raghavan's research predominantly concerns enhancing the parallel performance, energy efficiency and reliability of computations that involve high-dimensional sparse and unstructured data including matrices, and graphs. Sparse representations of data arise from many different contexts, for example, from largely local connections in a system represented as a sparse graph or network or from partial differential equations models where the number of nonzeroes in an associated matrix is bounded by a small constant times its dimension. Algorithms that exploit sparsity can deliver performance improvements by constant factors to orders of magnitude. Consequently, they enable the solution of larger or more complex problems for computation and data-enabled science and engineering "at scale" in a variety of disciplines.

Biography

Padma Raghavan is a Professor of Computer Science in the Department of Electrical Engineering and Computer Science at Vanderbilt University, where she is also Vice Provost for Research. Prior to joining Vanderbilt in February 2016, she was a Distinguished Professor of Computer Science and Engineering at the Pennsylvania State University and served as the Associate Vice President for Research and Director of Strategic Initiatives, in addition to being the founding Director of the Institute for CyberScience, the coordinating unit on campus for developing interdisciplinary computation and data-enabled science and engineering and the provider of high-performance computing services for the university.

Raghavan specializes in high-performance computing and computational science and engineering. In her professorial role, Raghavan is deeply involved in education and research, with 46 Masters and Ph.D. theses supervised and approximately 100 peer-reviewed publications in three areas: scalable parallel computing; energy-aware supercomputing; computational modeling and knowledge extraction. She has earned several awards including an NSF CAREER Award (1995), the Maria Goeppert-Mayer Distinguished Scholar Award (2002, University of Chicago and the Argonne National Laboratory), and selection as an IEEE Fellow (2013).

Raghavan serves on several editorial boards including those at SIAM (Society of Industrial and Applied Mathematics) and IEEE (Institute of Electrical and Electronics Engineers): SIAM Series on Computational Science and Engineering; SIAM Series on Software Environments and Tools; Journal of Parallel and Distributed Computing; and the IEEE Transactions on Parallel and Distributed Systems. Recently Raghavan co-chaired Technical Papers at Supercomputing 2012, and the 2011 SIAM Conference on Computational Science and Engineering. She also serves on various advisory and review panels: the National Research Council's Committee on Future Directions for NSF Advanced Computing Infrastructure; the National Academies Panel on Information Science at the Army Research Laboratory; the review committee for the Computation Directorate at the Lawrence Livermore National Laboratory; the Board of Trustees of the Great Lakes Consortium for Petascale Computing; and the Computer Research Association's Committee on the Status of Women in Computing.




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