Navid Azizan Ruhi

Navid's research interests span a wide spectrum of topics in machine learning, optimization, control, and networks. His work has focused on various problems at the intersection of these areas, including deep learning theory, non-convex optimization, distributed algorithms for machine learning, networked markets, rumor spread in social networks, and information processing in biological networks.

Stochastic Optimization Algorithms


Distributed Learning/Optimization


Optimization and Pricing in Markets


Spreading Processes in Complex Networks


  • A note on Inferring Epidemic Parameters in Networked SIS Epidemics [pdf][cite]
    N. Azizan R.

Biological Networks