The research of the Optimization group covers a wide range of topics, such as convex and variational analysis, semidefinite programming, convex and nonconvex programming, complementarity problems and variational inequalities, integer programming, and optimal control…

The Probability group encompasses a wide range of research interests and research expertise including, Extreme Value Theory and stochastic dynamical systems with applications in Engineering, Oceanographic, Environmental and Biomedical sciences; Stochastic Analysis, Large Deviations…

The research interests and expertise of the Statistics group encompass many active areas of statistical research and application, including inference for complex data, time series, and dynamical systems, machine learning, network analysis, environmental statistics, statistical genomics, and financial…

The Stochastic Modeling group mainly focuses on decision making under uncertainty in complex, dynamic systems, and emphasizes practical relevance. Standard stochastic methodological and modeling techniques like discrete and continuous-time Markov chains, renewal and regenerative…