Economic model predictive control of chemical processes with parameter uncertainty. - Omar Santander; Ali Elkamel; Hector M. Budman (Comput. Chem. Eng., 2016)

On the interaction and integration of production planning and (advanced) process control. - Omar Santander; Christopher L. Betts; Erin E. Archer; Michael Baldea (Comput. Chem. Eng., 2020)

Control-aware batch process scheduling. - Omar Santander; Michael Baldea (Comput. Chem. Eng., 2021)

Deep learning economic model predictive control for refinery operation: A fluid catalytic cracker - fractionator case study. - Omar Santander; Vidyashankar Kuppuraj; Christopher A. Harrison; Michael Baldea (ICSTCC, 2022)

An open source fluid catalytic cracker - fractionator model to support the development and benchmarking of process control, machine learning and operation strategies. - Omar Santander; Vidyashankar Kuppuraj; Christopher A. Harrison; Michael Baldea (Comput. Chem. Eng., 2022)

Integrated deep learning-production planning-economic model predictive control framework for large-scale processes. A fluid catalytic cracker-fractionator case study. - Omar Santander; Vidyashankar Kuppuraj; Christopher A. Harrison; Michael Baldea (Comput. Chem. Eng., 2022)

An integrated deep learning - short term production scheduling - optimal control framework for batch processes. - Omar Santander; Ioannis Giannikopoulos; Michael Baldea (ACC, 2023)

A Bayesian approach to improving production planning. - Omar Santander; Vidyashankar Kuppuraj; Christopher A. Harrison; Michael Baldea (Comput. Chem. Eng., 2023)