Professor Subramanian is interested in a variety of stochastic modeling, decision and control theoretic, and applied probability questions concerned with networks. Examples include analysis of random graphs, analysis of processes like cascades on random graphs, network economics, analysis of e-commerce systems, mean-field games, network games, telecommunication networks, load-balancing in large server farms, and information assimilation, aggregation and flow in networks especially with strategic users.
Vijay Subramanian
Associate Professor, EECS, College of Engineering
decision and control theory and applications to networks, Stochastic modeling
COntact
WebsiteLocation
Ann Arbor
Methodologies
Bayesian Methods / Causal Inference / Computing / Data Mining / Information Theory / Machine Learning / Mathematical and Statistical Modeling / Networks / Optimization / Statistics
Applications
Complex Systems / Computer Science / Economics, Finance and Business / Engineering