Our Team

This Professor is a leading researcher in the mathematical and computational foundations that govern complex networked systems. With expertise spanning social networks, network economics, random graph theory, communication networks, information theory, stochastic modeling, and applied probability, their work uncovers the principles that shape how information spreads, how networks evolve, and how systems behave under uncertainty. Their research provides deep insights into the structure and dynamics of large-scale interconnected platforms—ranging from social media ecosystems to communication infrastructures and economic networks. At TheSSML, the professor integrates rigorous probabilistic modeling with modern machine-learning techniques, guiding students to understand how mathematical frameworks and data-driven methods can be combined to analyze, predict, and optimize the behavior of intelligent, interconnected systems.