IMSE at INFORMS

UT Arlington faculty and graduate students from the College of Engineering and the College of Architecture, Planning and Public Affairs (CAPPA) attended and presented at the 2018 INFORMS Annual Conference, which was held November 4th to 7th in Phoenix, AZ. INFORMS is a professional association of more than 11,000 academics and practitioners in the field of operations research and the management sciences. The INFORMS Annual Meeting brings together researchers and practitioners from the United States and around the world to share the most current research and applications in the field.

IMSE faculty Dr. Victoria Chen chaired a session titled Sustainability Topics in Urban Environment. Dr. Stephen Mattingly from Civil Engineering and IMSE graduate students Alireza Fallahi, Azam Boskabadi and Shirish Rao were the speakers in the session. Dr. Jay Rosenberger organized a session Data Science in Health Care Operations Research. IMSE faculty Dr. Yuan Zhou and Dr. Aera Leboulluec contributed to this session along with Ph.D. student Amith Viswanatha and alum Dr. Gazi Md Daud Iqbal.

Dr. Atefe Makhmalbaf from CAPPA and Dr. Mohsen Shahandashti from Civil Engineering presented their talk in the session Infrastructure Systems Towards a Smart City.

As a QSR (Quality, Statistics, and Reliability) member, Dr. Chen Kan participated in the QSR 20th Anniversary Workshop. He presented his work on Network-based Analysis for Condition Monitoring of Cardiac Patients in a session called Data Analytics in Healthcare Applications, chaired by Dr. Dongping Du from Texas Tech University.

Dr. Shouyi Wang chaired a session titled Data Analytics and Modeling for Health Informatics and Decision Making. IMSE gradate students Maryam Moghimi and Rahil Hosseini and Dr. Wang contributed three talks in the session. Dr. Wang also co-chaired the 13th INFORMS Data Mining & Decision Analytics Workshop, which is a one day event with 64 accepted paper presentations worldwide and three keynote speakers on data mining and decision analytics. The IMSE alum Kinming Puk’s paper “Selection of Hierarchical Features via Sparse Group Regularization” was selected as one of the Best Paper Finalists in the workshop.

–Posted by Shirish Rao, Chen Kan, and Shouyi Wang and Edited by Jay Rosenberger

Dr. Chen Kan to Present Seminar

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.

CSS Best Paper Finalist Awarded

Congratulations to IE Doctoral Student, MD Mamunur Rahman, and Dr. Yuan Zhou for their paper, “Alleviating Traffic Congestion by the Strategy of Modal Shift from Private Cars to Public Transports: A Case of Dhaka City, Bangladesh.” The Computational Social Science Society of the Americas recognized it as a “Best Paper Finalist” because it “represented the spirit, rigor, and professionalism of computational social science” during the 2018 CSS Conference, which was held at Santa Fe, New Mexico from October 25-28, 2018.