Carl Kesselman
Carl Kesselman is an American computer scientist specializing in grid computing technologies. This term was developed by him and professor Ian Foster in the book ''The Grid: Blueprint for a New Computing Infrastructure''. He and Foster are winners of the British Computer Society's Lovelace Medal for their grid work. He is institute fellow at the University of Southern California's Information Sciences Institute and a professor in the Epstein Department of Industrial and Systems Engineering, at the University of Southern California.Kesselman co-led the Globus Toolkit project, core technologies for computational grid systems in the areas of resource location, resource allocation, computer security, data communication, and data access. He described a Globus testbed called GUSTO in 1997.
He was elected as an ACM Fellow in 2017 and was awarded (with Ian Foster) the IEEE Computer Society Harry H Goode Memorial Award (2020) and IEEE Internet Award (2023).
He received a PhD in computer science from UCLA in 1991. Provided by Wikipedia
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Participatory methods to support team science development for predictive analytics in health by Armen C. Arevian, Doug Bell, Mark Kretzman, Connie Kasari, Shrikanth Narayanan, Carl Kesselman, Shinyi Wu, Paul Di Capua, William Hsu, Mathew Keener, Joshua Pevnick, Kenneth B. Wells, Bowen Chung
Published 2018-06-01
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Correction: Reproducible big data science: A case study in continuous FAIRness. by Ravi Madduri, Kyle Chard, Mike D'Arcy, Segun C Jung, Alexis Rodriguez, Dinanath Sulakhe, Eric Deutsch, Cory Funk, Ben Heavner, Matthew Richards, Paul Shannon, Gustavo Glusman, Nathan Price, Carl Kesselman, Ian Foster
Published 2023-01-01
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Reproducible big data science: A case study in continuous FAIRness. by Ravi Madduri, Kyle Chard, Mike D'Arcy, Segun C Jung, Alexis Rodriguez, Dinanath Sulakhe, Eric Deutsch, Cory Funk, Ben Heavner, Matthew Richards, Paul Shannon, Gustavo Glusman, Nathan Price, Carl Kesselman, Ian Foster
Published 2019-01-01
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Predictive Big Data Analytics: A Study of Parkinson's Disease Using Large, Complex, Heterogeneous, Incongruent, Multi-Source and Incomplete Observations. by Ivo D Dinov, Ben Heavner, Ming Tang, Gustavo Glusman, Kyle Chard, Mike Darcy, Ravi Madduri, Judy Pa, Cathie Spino, Carl Kesselman, Ian Foster, Eric W Deutsch, Nathan D Price, John D Van Horn, Joseph Ames, Kristi Clark, Leroy Hood, Benjamin M Hampstead, William Dauer, Arthur W Toga
Published 2016-01-01
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