2021 Annual Meeting

Session: Data-Driven and Hybrid Modeling for Decision Making I

Chair

Co-Chair

Presentations

08:00 AM

(415a) Modeling Complex Nonlinear Systems Using Concatenated Static-Dynamic Neural Networks
Angan Mukherjee, Debangsu Bhattacharyya

08:15 AM

(415b) Optimal Synthesis and Heat Integration Using Generalized Disjunctive Programming with Hybrid Models
Alejandro Pedrozo, Sabrina Belen Rodriguez Reartes, David E. Bernal, Aldo Vecchietti, Ignacio Grossmann, Maria Diaz

08:30 AM

(415c) Regularized Subsets: A Framework for High-Dimensional Linear Regression with Noisy Data and Optional Constraints
Owais Sarwar, Nick Sahinidis

08:45 AM

(415d) A Data-Driven Inverse Optimization Approach to Learning Surrogate Optimizers
Rishabh Gupta, Qi Zhang

09:00 AM

(415e) A Hybrid Model Feature Relevance Analysis for Mechanistic Model Refinement Suggestions
Selen Cremaschi, Yushi Deng, Mario Eden, Shuxing Cheng, Haijing Gao

09:15 AM

(415f) A General Strategy for Quantification of the Uncertainty on a Hybrid Model’s Uncertainty Estimates
Francesco Rossi, Yan-Shu Huang, Sumit Kumar, Rexonni Lagare, Linas Mockus, Gintaras Reklaitis

09:30 AM

(415g) Machine Learning and Multi-Way Method Modelling Methods for Pharmaceutical Process Quality
Atli Magnússon, Gurkan Sin, Stuart Michael Stocks, Jari Pajander

09:45 AM

(415h) Surrogate Thermodynamics for Process Synthesis: A Computational Study on Model Selection, Accuracy and Performance
Ashfaq Iftakher, Mohammed Sadaf Monjur, Chinmay Aras, Faruque Hasan