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Reasoning about mobile malware using high performance computing based population scale models.

, , , and . WSC, page 3048-3059. IEEE/ACM, (2014)

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Systems Modeling of Molecular Mechanisms Controlling Cytokine-driven CD4+ T Cell Differentiation and Phenotype Plasticity., , , , , , , , , and 5 other author(s). PLoS Comput. Biol., (2013)An Integrated Modeling Environment to Study the Co-evolution of Networks, Individual Behavior and Epidemics., , , , and . AI Magazine, 31 (1): 75-87 (2010)Simfrastructure: A Flexible and Adaptable Middleware Platform for Modeling and Analysis of Socially Coupled Systems., , , , , and . CCGRID, page 506-513. IEEE Computer Society, (2013)Load analysis and cost estimation of parallel constrained producer-consumer algorithms., , , and . CLUSTER, page 286-287. IEEE Computer Society, (2014)High Performance Scalable and Expressive Modeling Environment to Study Mobile Malware in Large Dynamic Networks., , , , and . IPDPS, page 770-781. IEEE, (2011)Enhancing user-productivity and capability through integration of distinct software in epidemiological systems., , , , and . IHI, page 171-180. ACM, (2012)EpiCaster: an integrated web application for situation assessment and forecasting of global epidemics., , , , , and . BCB, page 156-165. ACM, (2015)An Interactive, Web-Based High Performance Modeling Environment for Computational Epidemiology., , , , and . ACM Trans. Manag. Inf. Syst., 5 (2): 7:1-7:27 (2014)Formal Specification and Experimental Analysis of an Interactive Epidemic Simulation Framework., , , , and . HPCC, page 790-795. IEEE, (2011)Interactions among human behavior, social networks, and societal infrastructures: A Case Study in Computational Epidemiology., , , , , , , and . Fundamental Problems in Computing, page 477-507. Springer, (2013)