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101.Marc Gamell,Ivan Rodero,Manish Parashar,Janine Bennett,Hermanth Kolla,Jacqueline Chen,Peer-Timo Bremer,Aaditya Landge,Attila Gyulassy,Valerio Pascucci,Patrick McCormick,Scott Pakin,Scott KlaskyExploring Power Behaviors and Tradeoffs of In-situ Data AnalyticsProceedings of SC\textquoteright13, The ACM/IEEE International Conference for High Performance Computing, Networking Storage and AnalysisAC/IEEEDenver, CO04/2013Google Scholar
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102.Magdalena Punceva,Ivan Rodero,Manish Parashar,Omer Rana,Ioan Petri,othersIncentivising resource sharing in social cloudsConcurrency and Computation: Practice and Experience271483\textendash1497Wiley Online Library03/2013Google Scholar
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103.Shantenu Jha,Manish Parashar,Omer RanaExploring the Role of Autonomics in Computational Science and EngineeringGoogle Scholar
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104.Roselyne Tchoua,Jong Choi,Scott Klasky,Qing Liu,Jeremy Logan,Kenneth Moreland,Jingqing Mu,Manish Parashar,Norbert Podhorszki,David Pugmire,othersADIOS visualization schema: A first step towards improving interdisciplinary collaboration in high performance computing27\textendash34IEEEGoogle Scholar
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105.Thomas Beach,Omer Rana,Yacine Rezgui,Manish ParasharCloud computing for the architecture, engineering \& construction sector: requirements, prototype \& experienceJournal of Cloud Computing21\textendash16Springer Berlin HeidelbergGoogle Scholar
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106.George Thiruvathukal,Manish ParasharCloud Computing.Computing in Science and Engineering158\textendash9Google Scholar
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107.Manish Parashar,Moustafa AbdelBaky,Ivan Rodero,Aditya DevarakondaCloud paradigms and practices for computational and data-enabled science and engineeringComputing in Science \& Engineering1510\textendash18AIP PublishingGoogle Scholar
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108.Ivan Rodero,Manish ParasharCross-layer Application-aware Power/Energy Management for Extreme Scale SciencearXiv preprint arXiv:1304.2840Google Scholar
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109.Javier Diaz-Montes,Mengsong Zou,Ivan Rodero,Manish ParasharEnabling autonomic computing on federated advanced cyberinfrastructures20ACMGoogle Scholar
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110.Marc Gamell,Ivan Rodero,Manish Parashar,Simon PooleExploring energy and performance behaviors of data-intensive scientific workflows on systems with deep memory hierarchies226\textendash235IEEEGoogle Scholar
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381.Javier Diaz-Montes,Yu Xie,Ivan Rodero,Jaroslaw Zola,Baskar Ganapathysubramanian,Manish ParasharExploring the use of elastic resource federations for enabling large-scale scientific workflowsProc. of Workshop on Many-Task Computing on Clouds, Grids, and Supercomputers (MTAGS)1\textendash10Google Scholar
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111.Ioan Petri,Tom Beach,Mengsong Zou,Javier Diaz-Montes,Omer Rana,Manish ParasharA federated CometCloud infrastructure to support resource sharing313\textendash314IEEEGoogle Scholar
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384.B. Chen,D. PompiliMinimizing Position Uncertainty for Under-Ice Autonomous Underwater Vehiclesto appear in Computer Networks (Elsevier)Google Scholar
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385.Solomon Lasluisa,Ivan Rodero,Manish ParasharSoftware Design for Passing Sarbanes-Oxley in Cloud ComputingIntegrated Information and Computing Systems for Natural, Spatial, and Social Sciences27-42IGI GlobalGoogle Scholar
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387.Shel Swenson,Yogesh Simmhan,Viktor Prasanna,Manish Parashar,Jason Riedy,David Bader,Richard VuducSustainable software development for next-gen sequencing (NGS) bioinformatics on emerging platformsarXiv preprint arXiv:1309.1828Google Scholar
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389.Fan Zhang,Ciprian Docan,Hoang Bui,Manish Parashar,Scott KlaskyXpressspace: A Programming Framework for Coupling Partitioned Global Address Space Simulation CodesConcurrency and Computation: Practice and Experience26644-661Wiley Online LibraryGoogle Scholar
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112.H. Viswanathan,E. Lee,I. Rodero,D. PompiliAn Autonomic Resource Provisioning Framework for Mobile Computing GridsProc. of ACM International Conference on Autonomic Computing (ICAC)San Jose, CASeptemberGoogle Scholar
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113.H. Viswanathan,E. Lee,I. Rodero,D. PompiliAn Uncertainty-aware Resource Provisioning Framework for Mobile Computing GridsProc. of ACM International Conference on Autonomic Computing (ICAC)San Jose, CASeptemberGoogle Scholar
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114.B. Chen,P. Pandey,D. PompiliAdaptive Sampling Based on Deterministic Compressive Sensing using Autonomous Underwater VehiclesProc. of IFAC Conference on Manoeuvring and Control of Marine Craft (MCMC)Arenzano (GE), ItalySept. 2012Google Scholar
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115.P. Pandey,D. PompiliOn the Region of Feasibility of Interference Alignment in Underwater Sensor NetworksProc. of IEEE Underwater Communications: Channel Modelling\&Validation (UComms)NATO Centre, La Spazia, ItalySept. 2012Google Scholar
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