Dr. Chen Kan from the Department of Industrial, Manufacturing, and Systems Engineering at the University of Texas at Arlington will present a Seminar this Monday, November 19, at 1:15pm in Nedderman Hall (NH) 105. Dr. Kan’s presentation title, abstract, and biographical sketch are below.
Title: Heterogeneous Recurrence Analysis and Its
Applications on Manufacturing and Healthcare
Author: Chen Kan PhD
Location: Nedderman Hall Room 105
Date: Monday, November 19, 2018
Time: 1:15pm
Abstract: Recurrence (i.e., approximate repetitions of a certain event) is one of the most common phenomena in natural and engineering systems. Recurrence analysis has been widely used to characterize nonlinear and non stationary systems and identify dynamic transitions (e.g., change of disease conditions or manufacturing quality). However, most of the existing work focus on homogeneous recurrence variations. This talk will present a new methodology to investigate heterogeneous recurrence and link with the objectives of anomaly detection. The developed methodology will be demonstrated in both manufacturing and healthcare applications.
Biographical Sketch: Chen Kan is currently an assistant professor in the Department of Industrial, Manufacturing and Systems Engineering at UTA. He earned his PhD. in Industrial and Manufacturing Engineering from the Pennsylvania State University in 2017. His research focuses on the monitoring and anomaly detection of complex systems, with applications on advanced manufacturing and smart health.