Data Analytics and Information Systems – Webinar archive
Junior Faculty Spotlight: Data-Driven Dynamical Systems and Control
Presented by the IISE Data Analytics and Information Systems Division
Speakers: Dr. Gabriel Nicolosi, Dr. Ashif Iquebal, and Dr. Bing Yao
March 19, 2026 - 3 p.m. ET
This presentation featured three talks from junior faculty in the area of data-driven dynamical systems and control. These short-form, 15-minute talks each focused on one recent project from our speakers.
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AI Driven Customer Experience: Unifying Insights, Compliance, and Contextual Marketing
Presented by the IISE Data Analytics and Information Systems Division
Speaker: Dr. Pavan Valluri
January 30, 2026 - 11 a.m. ET
Discover how to use existing tools and AI to personalize at scale, without needing a complete CDP. Data reveals intent, and AI delivers results quickly.
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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
Monday, April 8, 1 p.m. ET
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 jointly by the IISE DAIS and QCRE Divisions
Speaker: Dr. Hongyue Sun, University of Georgia
Tuesday, March 26, 12 noon ET
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 Modeling
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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