Ewa Deelman

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Ewa Deelman
Ewa Deelman.png
NationalityPolish American
Alma materRensselaer Polytechnic Institute
Known for
  • Scientific workflow systems[1]
  • Cloud computing
  • Resource management[2]
Awards
  • American Academy of Arts and Sciences Fellow (2019)[3].
  • IEEE Fellow (2018)[4]
  • HPDC Achievement Award (2015)[5]
Scientific career
Fields
  • Distributed computing
  • Cyberinfrastructure
  • Scientific workflow systems.[2]
  • High performance computing
  • Reproducibility
Institutions
  • Information Sciences Institute
  • University of Southern California
Academic advisors
  • Bolesław Szymański[6]
Website

Ewa Deelman, is a Research Professor of computer science at the University of Southern California, Information Sciences Institute.[7] She is a principal investigator (PI) of the Pegasus Software Project.[1] Deelman is a Research Director of Science Automation Technologies[8] and a Principal Scientist at the University of Southern California, Information Sciences Institute.[7] She is an American Academy of Arts and Sciences Fellow[3] and IEEE Fellow. [4]

Education

Deelman attended Wells College where she obtained her B.A. in mathematics in 1987. She received her M.S. in computer science at State University of New York in 1991, and later went on to earn her Ph.D. in computer science at Rensselaer Polytechnic Institute in 1997.[9] The dissertation for her Ph.D. in computer science from Rensselaer Polytechnic Institute was entitled, Performance Optimization of Parallel Discrete Event Simulation of Spatially Explicit Problems, and was supervised by Bolesław Szymański.[6]

Research

Her current research interests[10] include scientific workflow systems, cloud computing, resource management, with particular emphasis on scientific workflow system management. She applies advances in knowledge technologies for management of large amounts of data and metadata. [11]

References

  1. 1.0 1.1 E. Deelman, G. Singh, M. Su, J. Blythe, Y. Gil, C. Kesselman, G. Mehta, K. Vahi, B. G. Berriman, J. Good, A. Laity, J. C. Jacob, and D. S. Katz, "Pegasus: a Framework for Mapping Complex Scientific Workflows onto Distributed Systems", Scientific Programming Journal; 13(3), pp. 219-237 (2005)
  2. 2.0 2.1 M. Malawski, G. Juve, E. Deelman, and J. Nabrzyski, "Algorithms for cost- and deadline-constrained provisioning for scientific workflow ensembles in IaaS clouds", Future Generation Computer Systems; 48, pp. 1-18 (2015)
  3. 3.0 3.1 Ewa Deelman Named AAAS Fellow, by American Association for the Advancement of Science; published October 19, 2019; retrieved March 29, 2020
  4. 4.0 4.1 IEEE Computer Society Members Elevated to Fellow for 2018, by IEEE Computer Society (Press Room), in Institute of Electrical and Electronics Engineers; published December 11, 2017; retrieved March 29, 2020
  5. HPDC 2015 Achievement Award, in High-Performance Parallel and Distributed Computing; published June 19, 2015; retrieved March 29, 2020
  6. 6.0 6.1 Deelman, Ewa. (1997) Performance Optimization of Parallel Discrete Event Simulation of Spatially Explicit Problems(PhD). Rensselaer Polytechnic Institute; retrieved March 29, 2020
  7. 7.0 7.1 "Prof Ewa Deelman, research profile – personal details (The USC Information Sciences Institute (ISI)". Retrieved 27 March 2020.
  8. "SciTech – Science Automation Technologies". Retrieved 2020-04-06.
  9. Ewa Deelman in the Mathematics Genealogy Project
  10. "Ewa Deelman - Google Scholar Citations". scholar.google.co.in. Retrieved 2020-04-06.
  11. E. Deelman, K. Vahi, M. Rynge, R. Mayani, R. Ferreira da Silva, G. Papadimitriou, and M. Livny, "The Evolution of the Pegasus Workflow Management Software", Computing in Science Engineering; 21(4), pp. 22-36 (2019)

External Links

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