School of Public Policy, Contributing to a Livable World


















Rajendra G. Kulkarni
Research Instructor, MEC

rkulkarn@gmu.edu

Rajendra G. Kulkarni is a research instructor at the George Mason School of Public Policy. He specializes in complexity theory, neural networks, artificial intelligence and population genetics and their applications to critical infrastructure issues such vulnerability analysis and spatial modeling of interdependencies between various infrastructures; and social sciences, especially in the field of transportation and regional science.

Mr. Kulkarni earned his B.S. in Electronics and Communication Engineering from KREC in India and an M.S. in Computer Science from George Mason University. He has worked on a number of projects dealing with the computerization of government agencies and academic institutions throughout India. He is the recipient of numerous research grants to focus on transportation issues such as ways to improve efficiency on roadways and reduce traffic congestion and emissions.

More recently, Mr. Kulkarni is a member of a George Mason team that is participating in research on security of Internet networks and critical infrastructure, especially transportation infrastructure. His work involves the development of analytical and simulation tools to model cyber security and critical infrastructures, transportation networks, developments of regional technological databases, and applications of non-linear dynamical systems theory to study emergence of order in complex systems.