Ewa Deelman

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] which designs and implements workflow mapping techniques for large-scale applications running in distributed environments.[8] Deelman is a Research Director of Science Automation Technologies and a Principal Scientist at the University of Southern California, Information Sciences Institute.[7] She is an AAAS Fellow[3] and IEEE Fellow. [4]

Ewa Deelman
NationalityAmerican
Alma materRensselaer Polytechnic Institute
Known for
Awards
Scientific career
Fields
Institutions
Academic advisors
Website

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 at New Paltz in 1991, and later went on to earn her Ph.D. in computer science at Rensselaer Polytechnic Institute in 1997.[9] Her Ph.D. dissertation was titled, 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]

gollark: FM is more robust against noise, apparently.
gollark: Or, well, it is, but it'll still be lossy.
gollark: I don't think that's possible.
gollark: That's storing it lossily, thus bad.
gollark: No, digital is better, as you can copy (and store!) a digital signal entirely precisely, compress it nicely, encrypt it, error-correction-code it, send it to people using computers™️, and process it on computers™️ too.

References
  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. 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. Ewa Deelman Named AAAS Fellow, by American Association for the Advancement of Science; published 19 October 2019; retrieved 29 March 2020
  4. IEEE Computer Society Members Elevated to Fellow for 2018, by IEEE Computer Society (Press Room), in Institute of Electrical and Electronics Engineers; published 11 December 2017; retrieved 29 March 2020
  5. HPDC 2015 Achievement Award, in High-Performance Parallel and Distributed Computing; published 19 June 2015; retrieved 29 March 2020
  6. Ewa Deelman. (1997) Performance Optimization of Parallel Discrete Event Simulation of Spatially Explicit Problems (PhD). Rensselaer Polytechnic Institute; retrieved 29 March 2020
  7. "Prof Ewa Deelman, research profile – personal details (The USC Information Sciences Institute (ISI)". Retrieved 27 March 2020.
  8. Sanden Totten, "Caltech Wasn’t the Only SoCal School Helping Discover Gravitational Waves", at KPCC; published 11 February 2016; retrieved 29 March 2020
  9. Ewa Deelman in the Mathematics Genealogy Project
  10. Ewa Deelman publications indexed by Google Scholar
  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)
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