Data Analytics & Information Systems Research Gallery Archives

Topic: Research Overview of Systems Intelligence and Optimization Laboratory (SIOL) at Mississippi State University
Overview: Dr. Haifeng Wang and his research team have been focused on data mining and optimization solutions for health, agricultural, and manufacturing systems. The objective is to develop intelligent decision support models and theories that are robust and easily interpretable. This research faces challenges, such as real-time, large-scale, distributional shift, and uncertainty, because of the variation, dynamic, and stochastic characteristics of the practical process. Here, we discuss two current research topics to illustrate our research theme: (1) Distributionally robust unsupervised domain adaptation, (2) Towards practical clinical decision support through interpretable machine learning.

Topic: Bayesian Sparse Regression for Mixed Multi-Responses with Application to Runtime Metrics Prediction in Fog Manufacturing
Overview: Dr. Xiaoyu Chen and his collaborators focus on statistical inference methods to enable predictive computation offloading in fog manufacturing by joint modeling multivariate mixed responses which follow different types of distributions.

Topic: NP-ODE: Neural Process Aided Ordinary Differential Equations for Uncertainty Quantification of Finite Element Analysis
Overview: Dr. Yinan Wang and his research group focus engineering-driven machine learning for complex physical systems. This research overview will present one of their works on the physics-informed stochastic process for uncertainty quantification of finite element analysis. This research was awarded the Best Paper Award in the 2022 IISE Transactions with Focus Issue on Design and Manufacturing and selected as the Finalist in 2021 INFORMS Quality, Statistics and Reliability (QSR) Best Student Paper Competition.

Topic: Clustering Spatially Correlated Functional Data with Multiple Scalar Covariates
Overview: Hui Wu and her team focus on developing statistical and machine learning models for complex data (e.g., mixed-type data, functional data, insufficient information data) in industrial systems. This research overview will present one of their works on a clustering algorithm for spatially correlated functional data with covariates, followed by future research plans. This research was awarded as the best student paper in DAIS of IISE conference 2021.

Topic: An Online Approach to Covert Attack Detection and Localization in Power Systems
Overview: Dan Li, Nagi Gebraeel, Kamran Paynabar, and A.P. Sakis Meliopoulos from Georgia Tech research cybersecurity vulnerabilities in power systems and how to detect and localize covert attacks. 

Topic: Ecommerce Order Fulfillment Optimization at IBM Reserach
Overview: Dr. Xuan Lin and her team at IBM Research strive to solve challenging ecommerce analytics and optimization problems. The team have been working closely with external business customers, and have deployed multiple production solutions for ecommerce retailers.

Topic: Research Overview of Complex System Design and Analysis Laboratory
Sang Won Yoon, Assistant Professor, Systems Science and Industrial Engineering, State University of New York at Binghamton
Overview: Dr. Sang Won Yoon and his research team has been studying a variety of emerging research domains including 1) distributed decision making, coordination protocol design and collaborative control theory, 2) large-scale data analytics and predictive modeling, 3) mail-order pharmacy system design and analysis, 4) healthcare systems optimization, 5) production & manufacturing systems optimization, and 6) warehouse management and transportation. This research overview will outline a brief description of six research domains, followed by future research plans.

Topic: Visual Sensing and Data Analytics
Mehdi Khazaeli, Assistant Professor, Engineering Management, University of the Pacific
Overview: Dr. Khazaeli and his research team at UOP are working on multimedia analysis and using contextual queuing to improve segmentation, scene detection and object recognition. This research will ultimately contribute to sport biomechanics, training environment and building information modeling.