328 Advances in Data Analysis, Information Management, and Intelligent Systems II


Description:
Advanced sensing technologies have increased the amount and variety of data available for monitoring chemical processes. This session is focused showing the development of new data analysis, information management,and intelligent systems tools, as well as the application of such tools in an industrial setting.

Sponsor:
Data and Information Systems


Chair:
Debangsu Bhattacharyya
West Virginia University
Department of Chemical and Biomedical Engineering
Morgantown, WV
Email: Debangsu.Bhattacharyya@mail.wvu.edu

Co-Chair:
Donald J. Chmielewski
Assistant Professor
Illinois Institute of Technology
Suite 127, Perlstein Hall
Chicago, IL
60616
Email: chmielewski@iit.edu


Papers:
328a
Variable and Term Selection of Approximations for Data-Driven Optimization
Sun Hye Kim, Georgia Institute of Technology; Jianyuan Zhai, Georgia Institute of Technology; Fani Boukouvala, Georgia Institute of Technology
328b
Data-Driven Approximation of Feasible Region, Constrained Design of Experiments, and Optimization
Ishan Bajaj, Texas A&M University; M. M. Faruque Hasan, Texas A&M University
328c
Data-Driven Model Building of Zeolite Adsorption Processes with Uncertainty Quantification and Propagation to Dynamic Simulations of CO2 Adsorption
Anca Ostace, West Virginia University; Debangsu Bhattacharyya, West Virginia University; Keenan Kocan, West Virginia University; David S. Mebane, West Virginia University
328d
Data-Driven Stochastic Robust Optimization: General Modeling Framework and Efficient Computational Algorithm for Handling Labeled Multi-Class Uncertainty Data
Chao Ning, Cornell University; Fengqi You, Cornell University
328e
Dynamic Canonical Correlation Analysis for the Extraction and Diagnosis of Plant-Wide Oscillations
Yining Dong, University of Southern California; S. Joe Qin, University of Southern California
328f
Design of a Supervisory Control System for Inter-Networked Facilities Operation
Aaron Driscoll, University of South Florida; Kyle Cogswell, University of South Florida; Matthew Azarian, University of South Florida; Aydin K. Sunol, University of South Florida; Gita Iranipour, Hillsborough County Public Utilities Department
328g
A Graph-Based Modeling and Optimization Framework for Complex Systems
Jordan Jalving, University of Wisconsin Madison; Yankai Cao, University of Wisconsin-Madison; Victor M. Zavala, University of Wisconsin-Madison
Abstract Submissions Closed
See more of this Group/Topical: Computing and Systems Technology Division
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