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, nonconvex 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
