As a physics student at the Center For Complex Networks & Data Science (CCNDS) of SBU, I work on topics at the interface of physics, computer science, and mathematics, such as phase transitions in statistical inference: when data becomes too sparse or too noisy, it can suddenly become impossible to find underlying patterns in it. This includes finding clusters in high-dimensional data and finding communities in social or biological networks. My project aims to use physics-inspired methods to find structure within large data sets and determine when these structures are statistically significant. We are developing physics-based algorithms which can point to hidden connections between spatially disparate nodes of a network!
Dynamics of Growth in Social Networks in Accordance with Preferential Attachement and Tension in the Networks/ Supervised by Dr. G.R. Jafari – 2015, Shahid Beheshti University, Tehran, Iran Accepted as a poster in the “8th Conference on Statistical Physics, Soft Condensed Matters, and Complex Systems”: Poster