Navid Azizan Ruhi

Navid's research interests span a wide spectrum of topics in machine learning, optimization, and complex networks. His work has focused on various problems, such as distributed machine learning, non-convex optimization, networked markets, rumor spread in social networks, and information processing in biological networks.

Optimization Theory of Deep Learning


Distributed Machine Learning


Markets and Distributed Optimization


Spreading Processes in Complex Networks


Biological Networks