Moumanti Podder

About

1) At the interface of combinatorics, probability, physics and theoretical computer science: Dr. Moumanti Podder studies two-player combinatorial games, which are perfect information games, on random graphs. These games bear intimate ties with topics in physics (such as percolation, various models of statistical mechanics and their Gibbs states), recursive distributional equations, probabilistic automata (such as probabilistic cellular automata and probabilistic tree automata) that are important objects in theoretical computer science, with applications to a wide range of subjects (such as in parallel computing, dynamical systems, computational cell biology, fluid mechanics etc.). A primary focus of her research remains on questions of phase transition phenomena, such as understanding how