2021 Annual Meeting

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

Chair

Qi Zhang, University of Minnesota

Co-Chair

Zhihong Yuan, Tsinghua University

Presentations

12:30 PM

(475a) Multi-Objective Optimization Experimental Design Using a Exploration-Exploitation Trade-Off
Panagiotis Petsagkourakis, Federico Galvanin

12:45 PM

(475b) Multi-Objective Bayesian Optimization of Process Flowsheets Using Trust Regions and Quality Set Metrics.
Panagiotis Petsagkourakis, Antonio del Rio Chanona, Edgar Ivan Sanchez Medina, Kai Sundmacher, Daniel F. Rodriguez-Vallejo

01:00 PM

(475c) Formulation of Closed-Form Mathematical Expressions Applied to Chemical Engineering Processes Using the Bayesian Machine Scientist
Valentina Negri, Daniel Vázquez, Roger Guimerá, Marta Sales-Pardo, Gonzalo Guillén-Gosálbez

01:15 PM

(475d) Data Clustering-Based Hybrid-Kinetic Model of an Industrial-Scale Biochemical Fermenter
Parth Shah, M. Ziyan Sheriff, Mohammed Saad Faizan Bangi, Joseph Kwon, Costas Kravaris

01:45 PM

(475f) A Hybrid Mechanistic-Machine Learning Approach for Identifying Governing Dynamical Equations of Algal Biodiesel Production Networks
Raghav Moar, Shweta Singh, Abhimanyu Raj Shekhar

02:00 PM

(475g) Discovering Interpretable Models from Data Using Machine Learning: Application to Nonlinear Parametric Models
Arijit Chakraborty, Abhishek Sivaram, Venkat Venkatasubramanian