2022 Annual Meeting

Session: Data-Driven and Hybrid Modeling for Decision Making

Chair

Faruque Hasan, Texas A&M University

Co-Chair

Qiugang Jay Lu, Texas Tech University

Presentations

03:30 PM

(11a) A Hybrid Model Feature Relevance Analysis for First-Principle Model Refinement Suggestions
Yushi Deng, Selen Cremaschi, Mario Eden, Shuxing Cheng, Haijing Gao

03:47 PM

(11b) X AI-MEG : An Ontology-Based Explanation Generator Via Machine Learning
Abhishek Sivaram, Venkat Venkatasubramanian

04:04 PM

(11c) Meta-Modeling-Based Sensitivity Analysis of Hybrid Models
Sagar Vinod Lakhwani, Mohammed Saad Faizan Bangi, Joseph Kwon, Parth Shah

04:21 PM

(11d) Subspace Based Model Identification for Batch Quality Analysis Using Missing Data Algorithms
Nikesh Patel, Prashant Mhaskar, Kavitha Sivanathan

04:38 PM

(11e) Bayesian Optimization for Performance-Oriented Model Learning: An Application to Learning-Based Predictive and Parameter-Varying Control of Cold Plasmas
Kimberly Chan, Yajie Bao, Ali Mesbah, Javad Mohammadpour Velni

04:55 PM

(11f) A Computational Study on the Benefits of Decision-Focused Surrogate Modeling
Qi Zhang, Joshua Larson, Rishabh Gupta

05:12 PM

(11g) Decision-Making Optimization of Hybrid Energy Management System for Curtailed Renewable Energy through Deep Reinforcement Learning
Doeun Kang, Jonggeol Na, Dongju Kang, J Jay Liu, Haider Niaz, Wonbo Lee, Sumin Hwangbo

05:29 PM

(11h) Hybrid Modeling and Optimization of Process Flowsheets Using Bayesian Symbolic Regression
Sachin Jog, Daniel Vázquez, Gonzalo Guillén-Gosálbez

05:46 PM

(11i) Data-Driven Explainable Classification for Economic Bioproduct Separation
Jianping Li, Reid Van Lehn, Christos Maravelias