[IISE Faculty List] IISE QCRE and DAIS Joint Webinar -- Dr. Hoang Pham -- March 2, 1 PM - 2 PM, EST

[Xiaolei Fang]

*Institute of Industrial and Systems Engineers*

*Quality Control & Reliability Engineering (QCRE) Division and *

*Data Analytics and Information Systems (DAIS) Division*

*2022-2023 Webinar Series*

IISE Quality Control & Reliability Engineering (QCRE) division and Data 
Analytics and Information Systems (DAIS) Division would like to invite 
you to attend our webinar on Thursday, March 2, 1 PM – 2 PM, Eastern Time.

*Webinar 
Registration:*https://us06web.zoom.us/webinar/register/WN_sT0v0CAxSEiGTyk46G_pNA 
<https://us06web.zoom.us/webinar/register/WN_sT0v0CAxSEiGTyk46G_pNA>

*Time:*Mar 2, 2023, Thursday, 01:00 PM, Eastern Time.

Click to add this event to your***Google calendar* 
<https://calendar.google.com/calendar/event?action=TEMPLATE&tmeid=NG92NmtqcWltb2M5b285Nm9yaHFmcm9xZnMgY185M2VlaTdkczMzNHZqcWdodTQwbGFpOWFpY0Bn&tmsrc=c_93eei7ds334vjqghu40lai9aic%40group.calendar.google.com>**

*Title: Do Reliability and Machine Learning Models With Time Delays and 
Model Selection Matter? *

*Presenter:* Dr. Hoang Pham, Distinguished Professor, Department of 
Industrial and Systems Engineering, Rutgers University

*Abstract**:*Many criteria and tools for selecting a reliability model 
or statistical distribution have been studied in the past decades. With 
the development of various machine learning models, both model-driven 
and data-driven approaches in recent years, the task of determining an 
appropriate model which satisfies certain criteria from a set of 
candidate models given a set of data has become more challenging for 
engineers and analysts. In addition, many systems in real life such as 
industrial and biological systems are often encountered with time delay. 
The reasons the time delay could naturally be that the system itself 
will need time in gaining the full capacity for the system in order to 
produce the best results. For example, in reliability the standby system 
will be the time delay for the system to fully functional. In the 
biological system, there is the time delay between the decrease in red 
blood cells number in blood and the release of new ones from bone marrow 
to fill this loss. In this talk, I will discuss various model selection 
criteria and some recent modeling studies of systems such as system 
degradation and body's immune system with time delays.

*Biography*: Dr. Hoang Pham is a Distinguished Professor and former 
Chairman (2007-2013) of the Department of Industrial and Systems 
Engineering at Rutgers University. He received his M.S. in Statistics 
from the University of Illinois, Urbana-Champaign, and M.S. and Ph.D. in 
Industrial Engineering from the State University of New York at Buffalo. 
Before joining Rutgers, he was a Senior Engineering Specialist with the 
Boeing Company and the Idaho National Engineering Laboratory. He is the 
editor-in-chief of the International Journal of Reliability, Quality and 
Safety Engineering and editor of the Springer Book Series in Reliability 
Engineering. He is the author/coauthor of 7 books and has published over 
200 journal articles and edited 17 books. His research interests include 
statistical machine learning inferences and reliability modeling for 
complex system degradation and biological systems with uncertainty and 
time-delay. He is a Fellow of the IEEE and IISE.

---------------------------------------------------------

QCRE and DAIS Webinar Committee Members

Dr. Xiaowei Yue, xwy at vt.edu <mailto:xwy at vt.edu>

Assistant Professor, Grado Department of Industrial and Systems 
Engineering, Virginia Tech (DAIS)

Dr. Xiao Liu, xl027 at uark.edu <mailto:xl027 at uark.edu>

Assistant Professor, Department of Industrial Engineering, University of 
Arkansas (DAIS)

Dr. Na Zou, nzou1 at tamu.edu <mailto:nzou1 at tamu.edu>

Assistant Professor, Department of Engineering Technology & Industrial 
Distribution, Texas A&M University (QCRE)

Dr. Xiaolei Fang, xfang8 at ncsu.edu <mailto:xfang8 at ncsu.edu>

Assistant Professor, Edward P. Fitts Department of Industrial and 
Systems Engineering, North Carolina State University (QCRE)

-- 

Assistant Professor
Edward P. Fitts Department of Industrial and Systems Engineering
North Carolina State University

Member, IISE Quality Control and Reliability Engineering
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