Dr. Szymanski's research interests span 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 spread of opinion and other dynamic processes on networks, communities in social networks, and large-scale parallel and distributed computing and simulation. Dr. Szymanski led the development of the GANXIS and SpeakEasy community detection algorithms; the SENSE simulator for sensor network simulation, and VOGUE and Conceptor-based innovative HMM models.
MetPetDB is a database for metamorphic petrology that is being designed and built by a global community of metamorphic petrologists and computer scientists at Rensselaer Polytechnic Institute as part of the National Cyberinfrastructure Initiative and supported by the NSF.
A research project that uses 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.
Software for a Parallel Toolkit for Community Quality Metrics, including modularity Q and modularity density Qds for researchers interested in in community detection.
Software for a novel fine-tuned community detection algorithm (FineTunedAlg) which optimizes modularity density for the given network.