Madhav Marathe Biocomplexity Institute of Virginia TechProfessor
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Research Interests
Marathe is an expert in interaction-based modeling and the simulation of large, complex biological, information, social, and technical systems. As the Director of the Network Dynamics and Simulation Science Laboratory, he leads the basic and applied research program where researchers are advancing the science and engineering of co-evolving complex networks and developing innovative computational tools based on these advances to support policy informatics. Marathe is an ACM Fellow for his contributions to high-performance computing algorithms and software environments for simulating and analyzing socio-technical systems. Marathe is also named a Fellow of IEEE for his contributions to the development of formal models and software tools for understanding socio-technical networks.
Network Dynamics and Simulation Science LaboratoryURL: http://ndssl.vbi.vt.edu/index.php The NDSSL is pursuing an advanced research and development program for interaction-based modeling, simulation, and associated analysis, experimental design, and decision support tools for understanding large biological, information, social, and technological systems. Extremely detailed, multi-scale computer simulations allow formal and experimental investigation of these systems. The need for such simulations is derived from questions posed by scientists, policy makers, and planners involved with very large complex systems. The simulation applications are underwritten by a theoretical program in discrete mathematics and theoretical computer science that is sustained by more than a decade of experience with the interplay of research and application. Laboratory members are currently pursuing active projects in Wireless Networks, Computational Epidemiology and Algorithms, Complex Networks and High Performance Computing. |
Please see projects at: http://ndssl.vbi.vt.edu/research/
Collaborative Research: Coupled Models of Diffusion and Individual Behavior Over Extremely Large Social Networks
Granting Institution: National Science Foundation
Amount: $1,182,798