Madhav V. Marathe

TL;DR: ENISI Visual is presented, an agent-based simulator for modeling gut immunity to enteric pathogens and users can observe real-time immune responses, including cell recruitment, cytokine and chemokine secretion and dissipation, random or chemotactic movement, cell-cell interactions, and state changes.

TL;DR: ENISI is a tool for identifying treatment strategies that reduce inflammation-induced damage and ensure pathogen removal by allowing one to test plausibility of in vitro observed behavior as explanations for observations in vivo, propose behaviors not yet tested in vitro that could explain these tissue-level observations, and conduct low-cost, preliminary experiments of proposed interventions/ treatments.

TL;DR: Marathe, M.V., R. Ravi and C. Pandu Rangan, Generalized vertex covering in interval graphs: A meta-anatomy of interval graphs, Discrete.

TL;DR: The velocity component and the spatial distributions of nodes over the space were analyzed and compared to the TRANSIMS data in order to be able to more generally analyze the models outside of the context of a network simulation.

TL;DR: A first principles based integrated modeling environment to study urban socio-communication networks which represent not just the physical cellular communication network, but also urban populations carrying digital devices interacting with the cellular network.