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.