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 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 developed a novel Mutual Exclusion algorithm, 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.
Physics Reports 471:1-108, Aug. 12, 2022
MetPetDB is a database for metamorphic petrology built by a global community of metamorphic petrologists and computer scientists at RPI, a part of the National Cyberinfrastructure Initiative of the NSF.
A research project that uses Internet-connected computers to trace 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 community detection.