Big Data Mining and Complexity

Rajeev Rajaram is a Professor of Mathematics at Kent State University. Rajeev’s primary training is in control theory of partial differential equations and he is currently interested in applications of differential equations and ideas from statistical mechanics and thermodynamics to model and measure complexity. He and Brian Castellani have worked together to create a new case - based method for modeling complex systems, called the SACS Toolkit, which has been used to study topics in health, health care, societal infrastructures, power - grid reliability, restaurant mobility, and depression trajectories. More recently, he is interested in mathematical properties of entropy based diversity measures for probability distributions.