## Chuntian Wang’s Paper One of Most Read Math Articles of 2018

Congratulations to Assistant Professor Chuntian Wang whose paper entitled “Crime modeling with truncated Lévy flights for residential burglary models” was one of the most-read mathematics articles of 2018. The paper was published in the Mathematical Models and Methods in Applied Sciences Journal, Vol. 28, No. 09, pp. 1857-1880 (2018), and the ranking can be viewed […]

## Hai Dang Nguyen Awarded a 2019 SIAM Prize

June 2019 Prize Spotlight: SIAM Conference on Control and Its Applications Hai Dang Nguyen was awarded the 2019 SIAM Activity Group on Control and Systems Theory Prize at the SIAM Conference on Applications of Control (CT19), held June 19-21, 2019 in Chengdu, China. Professor Nguyen received the award and delivered his prize lecture, “Some New […]

## Applied Math Seminar – Dengfeng Sun, Purdue University

Title: Improving the Convergence Rate of the Distributed Gradient Descent Method Abstract: This talk presents our recent work on the accelerated Distributed Gradient Descent (DGD) method for distributed optimization problems. We observed that the inexact convergence of the DGD algorithm can be caused by the inaccuracy in the consensus procedure in a distributed optimization setting. […]

## Colloquium – Xiaofan Li, Illinois Institute of Technology

Title: Numerical simulations of macroscopic quantities for stochastic differential equations with alpha-stable processes Abstract: The mean first exit time, escape probability and transitional probability density are utilized to quantify dynamical behaviors of stochastic differential equations with non-Gaussian, $\alpha$-stable type L\’evy motions. Taking advantage of the Toeplitz matrix structure of the time-space discretization, a fast and […]

## Applied Math Seminar – Rongjie Lai, Rensselaer Polytechnic Institute

Title: Understanding Manifold-structured Data via Geometric Modeling and Learning Abstract: Analyzing and inferring the underlying global intrinsic structures of data from its local information are critical in many fields. In practice, coherent structures of data allow us to model data as low dimensional manifolds, represented as point clouds, in a possible high dimensional space. Different […]