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
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
103.Shantenu Jha,Manish Parashar,Omer RanaExploring the Role of Autonomics in Computational Science and EngineeringGoogle Scholar
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
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
106.George Thiruvathukal,Manish ParasharCloud Computing.Computing in Science and Engineering158\textendash9Google Scholar
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
108.Ivan Rodero,Manish ParasharCross-layer Application-aware Power/Energy Management for Extreme Scale SciencearXiv preprint arXiv:1304.2840Google Scholar
109.Javier Diaz-Montes,Mengsong Zou,Ivan Rodero,Manish ParasharEnabling autonomic computing on federated advanced cyberinfrastructures20ACMGoogle Scholar
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
111.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
112.Ioan Petri,Tom Beach,Mengsong Zou,Javier Diaz-Montes,Omer Rana,Manish ParasharA federated CometCloud infrastructure to support resource sharing313\textendash314IEEEGoogle Scholar
113.B. Chen,D. PompiliMinimizing Position Uncertainty for Under-Ice Autonomous Underwater Vehiclesto appear in Computer Networks (Elsevier)Google Scholar
114.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
115.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
116.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
117.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
118.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
119.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
120.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