Dr. Padma Raghavan
Associate Vice President for Research and Director of Strategic Initiatives
Director, Institute for CyberScience
Distinguished Professor, Computer Science and Engineering
Affiliate Professor, Information Sciences and Technology
Office: 304 Old Main
Phone/Voice Mail: (814) 863-9657, (814) 865-9233
Fax: (814) 863-9659

Staff:  Lesley Moore  
Phone:  814-863-9658  

 
E-mail address: raghavan@cse.psu.edu
US mail address:Computer Science and Engineering,343K IST Building
University Park, PA 16802

Louise Troxell slt29@psu.edu
Phone: 814-867-1467


Padma Raghavan is the Associate Vice President for Research and the Director of Strategic Initiatives at the Pennsylvania State University, where she is also a Distinguished Professor of Computer Science and Engineering. Raghavan is the founding Director of the Penn State Institute for CyberScience, the coordinating unit on campus for developing interdisciplinary computation and data-enabled science and engineering. Raghavan received her Ph.D. in computer science from Penn State. Prior to joining Penn State in August 2000, she served as an associate professor in the Department of Computer Science at the University of Tennessee.

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.

Raghavan is married to Stephen G. Simpson, a mathematician at Penn State.

  • Click here for Raghavan's complete CV (pdf).
  • Links to Additional Information

    Research Contributions

    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.

  • Scalable Parallel Computing: Publications     Funding
  • Energy-Aware Supercomputing Publications     Funding
  • Computational Modeling and Knowledge Extraction: Publications     Funding
  • Presentations
  • Parallel Solver Software
  • The Institute for CyberScience (ICS@PSU)
    Office of the Vuce Presindet for Research at Penn State