Quality Control and Reliability Engineering – Webinar archive
Learning from Multimodal Medical Data: Tensor Models and Large Language Models
Presented by the IISE QCRE Division
Speaker: Dr. Ming Zhao
April 2, 2026
This presentation will also illustrate how these methods can address the complexity of multimodal medical data and support decision-making in multi-source medical settings./p>
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Optimal Abort Policy for Mission-Critical Systems under Imperfect Condition Monitoring
Presented by the IISE QCRE Division
Speaker: Dr. Qiuzhuang Sun
February 26, 2026
We consider on-demand mission-critical systems where occasional failures may occur during missions. To increase system survivability, we can abort the mission before an imminent failure.
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Adaptive Sampling for Anomaly Detection: From Operational Decision-Making to Strategic System Design
Presented by the IISE QCRE Division
Speaker: Dr. Xiaochen Xian
December 3, 2025
This talk presents a cohesive research agenda that tackles this challenge across multiple levels, moving from real-time operational decisions to the foundational strategic design of the monitoring system itself.
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Sparse Regression Analysis of Mixed Multi-Responses
Presented by the DAIS and QCRE divisions
Speaker: Dr. Xiaoyu Chen, University of Buffalo
April 8, 2024
In this talk, Dr. Chen will present studies on (1) a multivariate regression of mixed responses (MRMR) model with application to a visualization evaluation problem; and (2) a Bayesian MRMR model that considers both individual and group variable selection with application to a runtime performance metrics prediction problem in Fog computing network.
In addition, future research opportunities will be discussed.
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Data Science Enabled Decision-making in Advanced Manufacturing and Personalized Safety
Presented by the QCRE and DAIS divisions
Speaker: Dr. Hongyue Sun, University of Georgia
March 26, 2024
Dr. Sun presented data science enabled decision-making to address the above challenge, with applications in advanced manufacturing and personalized safety. He will introduce the consideration of high dimensional and streaming data for inkjet printing additive manufacturing process modeling, monitoring, and control. He will also speak about the work on occupational
worker fatigue assessment based on wearable sensors, to model the personalized, dynamic, and heterogeneous information of workers and inform the optimal system management. Finally, the future plans will be discussed.
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Advancing and Accelerating Qualification and Characterization through Stochastic Inverse ModelingMy Webinar
Presented jointly by the IISE Data Analytics and Quality Control and Reliability Divisions
November 28, 2023
Presenter: Dr. Ashif Iquebal
This webinar explores the existing research on inverse problems and how they are limited in accurately estimating the QoIs and their variabilities.
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Assessing the Calibration and Performance of Attention-based Spatiotemporal Neural Networks for Lightning Prediction
Presented jointly by the IISE Data Analytics and Quality Control and Reliability Divisions
November 14, 2023
Presenter: Dr. Nathan Gaw
This webinar will discussed the recent neural networks developed to produce accurate lightning nowcasts, using various types of satellite imagery, past lightning data, and other weather parameters as inputs to their model.
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Digital Twin for Quality Innovations: Manufacturing and Health Applications
Presented jointly by the IISE Data Analytics and Quality Control and Reliability Divisions
October 31, 2023
Presenter: Dr. Hui Yang
This webinar discusses our continuous research efforts on the “sensing-modeling-optimization” framework to build new cyber-physical digital twins in disparate disciplines of manufacturing and healthcare.
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