October 23, 2021, Anaheim, CA
Organized by Quality, Statistics and Reliability (QSR) Section, INFORMS
The Quality, Statistics & Reliability (QSR) Section of INFORMS is organizing the First QSR workshop at INFORMS Annual Meeting. The workshop will be held in person and virtually on October 23, prior to the 2021 INFORMS Annual Meeting.
You are invited to join us and present your recent research and experience at the workshop. You will find more details about the activities below.
Invitations to Submit and Compete
Abstract Submission for Presentations
Both virtual and in-person presentations are welcome.
Data Challenge Competition
Finalists will be invited for fast-track submission to Informs Journal on Data Science (IJDS).
Best Student Poster Competition
Topics of Interest
- Bayesian Statistics
- High-dimensional Data Analytics
- Degradation Modeling
- Additive Manufacturing
- Healthcare Analytics
- Cyber-physical Systems
- Uncertainty Quantification
- Reliability & Maintenance
- Prognosis and Diagnosis
- Quality Control & Statistical Process Control
- Anomaly Detection
- Deep Learning for Quality & Reliability
- Sensing Systems
- Other Applications Related to QSR
Professor C.F. Jeff Wu, the Coca-Cola Chair in Engineering Statistics and Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech, will be our keynote speaker. Prof. Wu was elected a Member of the National Academy of Engineering (2004), and a Member (Academician) of Academia Sinica (2000). He is a fellow of American Society for Quality, of Institute of Mathematical Statistics, of INFORMS, and of American Statistical Association. He received the COPSS Presidents’ Award in 1987, COPSS Fisher Lecture Award in 2011, and Deming Lecture in 2012. He has won other awards, including Shewhart Medal (2008), and Pan Wenyuan Technology Award (2008). He was the 1998 Mahalanobis Memorial Lecturer at the Indian Statistical Institutes, received the inaugural Akaike Memorial Lecture Award in 2016, the 2017 Box Medal from ENBIS, and an honorary doctor degree at the University of Waterloo. Prof. Wu has published more than 185 research articles and supervised 50 Ph.D.’s, out of which more than half are teaching in major research departments in statistics/engineering/business. Among them, there are 23 Fellows of ASA, IMS, ASQ, IAQ, and IISE.
Technical Tutorial on Federated Learning by Professor Raed Al-Kontar from the University of Michigan. Digital Twins and Industry 4.0 by Ford Motor Company.
|Time||Room 1||Room 2|
|8:20-9:20am||Keynote Speaker: Prof. Jeff Wu|
|9:45-11am||General Invited Session||General Invited Session|
|11:10am-12:25pm||Best Student Poster Competition|
|1:25-2:25pm||Technical Session on Federated Learning:
Prof. Raed Al-Kontar
|Digital Twins & Smart Manufacturing:
Ford Motor Company
|2:35-3:50pm||Data Challenge Competition|
|4:15-5:30pm||General Invited Session||General Invited Session|