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Networks: Foundations in Probability, Optimization and Data Sciences

NSF Research Training Group at the STOR Department


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WELCOME

This five-year RTG award (NSF DMS-2134107) from the NSF to the Department of
Statistics and Operations Research at the University of North Carolina at Chapel
Hill will develop a comprehensive training and mentoring program, for
undergraduate and graduate students and postdoctoral associates, centered around
the theme of theory and applications of Networks.

Team members bring a broad range of expertise to this effort, including
stochastic analysis, random discrete structures, discrete and continuous
optimization, time series and mathematical statistics, and machine learning.
Research activities of the group intersect with many other fields, such as
engineering, social sciences, business, biological and medical sciences,
epidemiology, and ecology.

The research themes of this RTG will span a broad range of topics, including:

 * foundational large network asymptotics (using tools from stochastic analysis,
   percolation theory, and large deviations theory)
 * algorithmic approaches to detection and reconstruction, resource allocation,
   and computational questions on networks (using tools from applied probability
   and optimization theory)
 * estimation and learning questions on networks (using tools from statistics
   and machine learning).


NEWS

 * Postdoctoral Positions (starting 07/01/2024)
 * LLNR Lectures by Prof. Rick Durrett (Duke)
 * Postdoctoral Positions (starting 07/01/2023)
 * Mini course by Sidney Resnick
 * Ideas Seminar

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