Английская Википедия:Ewa Deelman
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Ewa Deelman is an American computer scientist specializing in distributed computing and cloud computing for applications in scientific computing. Her contributions include leading the design of the Pegasus scientific workflow management system, used by the LIGO scientific collaboration to detect gravitational waves from binary black holes.Шаблон:R She is a research professor of computer science in the USC Viterbi School of Engineering, and a principal scientist at the Information Sciences Institute, both part of the University of Southern California.Шаблон:R
Education and career
Deelman majored in mathematics at Wells College, a women's college in Aurora, New York, graduating in 1987. After a master's degree in computer science in 1991 from the State University of New York at New Paltz, she went to Rensselaer Polytechnic Institute for continued study in computer science, earning her Ph.D. in 1997.Шаблон:R Her dissertation, Performance Optimization of Parallel Discrete Event Simulation of Spatially Explicit Problems, was supervised by Bolesław Szymański.Шаблон:R
After three years as a research software developer at the University of California, Los Angeles, she moved to the Information Sciences Institute in 2000, becoming a research director there in 2016 and a principal scientist in 2018. In 2003, she added an affiliation as research assistant professor of computer science at the University of Southern California; she was promoted to associate professor in 2009 and full professor in 2016.Шаблон:R
Recognition
Deelman was the 2015 recipient of the HPDC Achievement Award, given with an invitation for a keynote address at the International ACM Symposium on High-Performance Parallel and Distributed Computing, "for her significant influence, contributions, and distinguished use of workflow systems in high-performance computing".Шаблон:R
She was elected as an IEEE Fellow, in the 2018 class of fellows, "for contributions to scientific workflow management".Шаблон:R She was named as a Fellow of the American Association for the Advancement of Science in 2019, "particularly for the design and optimization of scientific workflows in distributed and high-performance environments".Шаблон:R
References
External links
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