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Manish Parashar

Affiliations: 
1994-1997 University of Texas at Austin, Austin, Texas, U.S.A. 
 1997-2020 Engineering, Electronics and Electrical Rutgers University, New Brunswick, New Brunswick, NJ, United States 
 2009-2011 National Science Foundation, Arlington, VA, United States 
 2021- Computer Science University of Utah, Salt Lake City, UT 
Area:
Parallel and Distributed Computing, Computational Science, Data-intensive Computing
Website:
https://www.manishparashar.org/
Google:
"Manish Parashar"
Bio:

https://www.cs.rutgers.edu/people/professors/details/manish-parashar
http://54.175.3.5/parashar/content/parashar-vita.pdf
https://scholar.google.com/citations?user=BGNzBsUAAAAJ&hl=en

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Parents

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Salim Hariri grad student 1990-1994 Syracuse
 (Interpretive Performance Prediction for High Performance Parallel Computing)

Children

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George V. Popescu grad student 2001 Rutgers, New Brunswick
Cristina S. Schmidt grad student 2005 Rutgers, New Brunswick
Guangsen Zhang grad student 2006 Rutgers, New Brunswick
Sumir Chandra grad student 2007 Rutgers, New Brunswick
Vincent J. Matossian grad student 2007 Rutgers, New Brunswick
Viraj Bhat grad student 2008 Rutgers, New Brunswick
Nanyan Jiang grad student 2009 Rutgers, New Brunswick
Andres Quiroz Hernandez grad student 2010 Rutgers, New Brunswick
Ciprian Docan grad student 2011 Rutgers, New Brunswick
Mingliang Wang grad student 2011 Rutgers, New Brunswick
Luiz Fernando Bittencourt post-doc 2016-2017 Rutgers - The State University of New Jersey (Computer Science Tree)

Collaborators

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Publications

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Zamani AR, Zou M, Diaz-Montes J, et al. (2020) Deadline Constrained Video Analysis via In-Transit Computational Environments Ieee Transactions On Services Computing. 13: 59-72
Ali M, Anjum A, Rana O, et al. (2020) RES: Real-time Video Stream Analytics using Edge Enhanced Clouds Ieee Transactions On Cloud Computing. 1-1
Parashar M, Simonet A, Rodero I, et al. (2020) The Virtual Data Collaboratory: A Regional Cyberinfrastructure for Collaborative Data-Driven Research Computing in Science and Engineering. 22: 79-92
Rodero I, Parashar M. (2020) Data Cyberinfrastructure for End-to-End Science Computing in Science and Engineering. 22: 60-71
Godoy WF, Podhorszki N, Wang R, et al. (2020) ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management Softwarex. 12: 100561
Jin T, Zhang F, Sun Q, et al. (2020) Towards autonomic data management for staging-based coupled scientific workflows Journal of Parallel and Distributed Computing. 146: 35-51
Zamani AR, Balouek-Thomert D, Villalobos JJ, et al. (2020) An edge-aware autonomic runtime for data streaming and in-transit processing Future Generation Computer Systems. 110: 107-118
Zamani AR, AbdelBaky M, Balouek-Thomert D, et al. (2020) Submarine: A subscription‐based data streaming framework for integrating large facilities and advanced cyberinfrastructure Concurrency and Computation: Practice and Experience. 32
Balouek-Thomert D, Renart EG, Zamani AR, et al. (2019) Towards a computing continuum: Enabling edge-to-cloud integration for data-driven workflows: International Journal of High Performance Computing Applications. 33: 1159-1174
AbdelBaky M, Parashar M. (2019) A General Performance and QoS Model for Distributed Software-Defined Environments Ieee Transactions On Services Computing. 1-1
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