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