2017 Annual Meeting

Session: Advances in Data Analysis, Information Management, and Intelligent Systems II

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.

Chair

Debangsu Bhattacharyya, West Virginia University

Co-Chair

Donald J. Chmielewski, Illinois Institute of Technology

Presentations

12:30 PM

(328a) Variable and Term Selection of Approximations for Data-Driven Optimization
Sun Hye Kim, Jianyuan Zhai, Fani Boukouvala

12:51 PM

(328b) Data-Driven Approximation of Feasible Region, Constrained Design of Experiments, and Optimization
Ishan Bajaj, Faruque Hasan

01:12 PM

(328c) Data-Driven Model Building of Zeolite Adsorption Processes with Uncertainty Quantification and Propagation to Dynamic Simulations of CO2 Adsorption
Anca Ostace, Debangsu Bhattacharyya, Keenan Kocan, David S. Mebane

01:33 PM

(328d) Data-Driven Stochastic Robust Optimization: General Modeling Framework and Efficient Computational Algorithm for Handling Labeled Multi-Class Uncertainty Data
Chao Ning, Fengqi You

01:54 PM

(328e) Dynamic Canonical Correlation Analysis for the Extraction and Diagnosis of Plant-Wide Oscillations
S. Joe Qin, Yining Dong

02:15 PM

(328f) Design of a Supervisory Control System for Inter-Networked Facilities Operation
Aaron Driscoll, Kyle Cogswell, Matthew Azarian, Aydin K. Sunol, Gita Iranipour

02:36 PM

(328g) A Graph-Based Modeling and Optimization Framework for Complex Systems
Victor M. Zavala, Yankai Cao, Jordan Jalving