Mr. Kulkarni is
a researcher with more than 20 years of experience in interdisciplinary
research, algorithm development, quantitative modeling and analysis
development. Trained as an engineer and a computer scientist, he has worked and
conducted research in variety of fields, including transportation science,
regional science and development, social network analysis, spatial-temporal
analysis, predictive analytics, machine learning, simulation and modeling, non-linear
dynamic systems, and complexity science.
He has led projects
ranging from a NASA project for analyzing evidence-based space medicine, to physical
and biological science models of traffic congestion in large metropolitan
areas, to secure network analysis with a national security application. He has provided a wide range of support to research
programs including program management and evaluation, visualization of complex
concepts and data, database development, web and application development,
content-management, technical support and strategic advice to research faculty
and administrators.
Mr. Kulkarni’s
work includes non-linear dynamical systems theory to model transportation and
regional economic issues, development of methodologies to apply intelligent
transportation systems regional road networks and traffic, development of
regional economic models incorporating a suite of methods from complexity
theory -- percolation theory, spin glasses, self- organizing and adaptive
systems, deterministic chaos, and analysis and modeling of regional
economies. He has completed work on
regional technology database development and analysis and development of
applications and software for analysis of highway traffic, and vulnerability
analysis for critical infrastructure.
He is widely published in top research journals and books. Mr. Kulkarni was Co-Principal Investigator on
the National Science Foundation project which examined “Road Transportation as
complex adaptive system: An exploratory conceptual framework to study road
traffic patterns, accessibility, mobility, connectivity, congestion, and emissions.”
He serves as
special projects coordinator for the Office of Research at George Mason
University. He holds a U.S. Patent for
complex network analysis.