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