Dr. Szymanski's research interests spans from network science, with emphasis on social networks and computer wireless and sensor networks to analysis and design of distributed and parallel algorithms, simulation of computers, networks and biological/ecological phenomena.
His projects include dynamic processes on networks, hidden groups in social networks, sensor network protocols and algorithms, and large-scale parallel and distributed computing and simulation. Dr. Szymanski led the development of COST and DSIM, two innovative simulation systems, SENSE for sensor network simulation, GENESIS for real-time network management and VOGUE for innovative HMM models.
Dr. Szymanski is a director of the Social Cognitive Network Academic Research Center funded by the ARL Network Science Collaborative Technology Alliance. SCNARC research focuses on social network analysis, network discovery, network dynamics, trust and cognitive aspect of social networks.
A collaborative partnership between the US Army Research Laboratories, the UK Ministry of Defense and a consortium of industries and universities in the US and UK.
An efficient and powerful sensor network simulator that is also easy to use.
A database for metamorphic petrology being designed as part of the National Cyberinfrastructure Initiative.
A research project using Internet-connected computers to do research in determining the evolution of the Milkyway galaxy.
Algorithm with linear wait that solved the open problem posed by Lamport in 1978.