State estimation and nonlinear model predictive control of end-use properties in batch reactors. - Jaleel Valappil; Christos Georgakis 002 (ACC, 2001)

Nonlinear model predictive control of end-use properties in batch reactors under uncertainty. - Jaleel Valappil; Christos Georgakis 002 (ECC, 2001)

A methodology for optimal sensor selection in chemical processes. - Kenneth R. Muske; Christos Georgakis 002 (ACC, 2002)

Control of a solution copolymerization reactor using piecewise linear models. - Leyla Özkan; Mayuresh V. Kothare; Christos Georgakis 002 (ACC, 2002)

Tendency Stoichiometric Modeling of Metabolic Pathways. - Foteini Makrydaki; Kyongbum Lee; Christos Georgakis 002 (ACC, 2007)

Process systems engineering tools in the pharmaceutical industry. - Gregory M. Troup; Christos Georgakis 002 (Comput. Chem. Eng., 2013)

Integrating operations and control: A perspective and roadmap for future research. - Prodromos Daoutidis; Jay H. Lee; Iiro Harjunkoski; Sigurd Skogestad; Michael Baldea; Christos Georgakis 002 (Comput. Chem. Eng., 2018)

On the estimation of high-dimensional surrogate models of steady-state of plant-wide processes characteristics. - Anh Phong Tran; Christos Georgakis 002 (Comput. Chem. Eng., 2018)

Education in Process Systems Engineering: Why it matters more than ever and how it can be structured. - Ian T. Cameron; Sebastian Engell; Christos Georgakis 002; Norbert Asprion; Dominique Bonvin; Furong Gao; Dimitrios I. Gerogiorgis; Ignacio E. Grossmann; Sandro Macchietto; Heinz A. Preisig; Brent R. Young (Comput. Chem. Eng., 2019)

Optimization of pharmaceutical reactions using the dynamic response surface methodology. - Yachao Dong; Christos Georgakis 002; Jason Mustakis; Lu Han; Jonathan P. McMullen (Comput. Chem. Eng., 2020)

Mass and energy balance-assisted data-driven modeling and optimization of batch processes: The case of a batch polymerization process. - Ahmed Bardooli; Yachao Dong; Christos Georgakis 002 (Comput. Chem. Eng., 2022)

Machine learning in process systems engineering: Challenges and opportunities. - Prodromos Daoutidis; Jay H. Lee; Srinivas Rangarajan; Leo Chiang; R. Bhushan Gopaluni; Artur M. Schweidtmann; Iiro Harjunkoski; Mehmet Mercangöz; Ali Mesbah 002; Fani Boukouvala; Fernando V. Lima; Ehecatl Antonio del Rio-Chanona; et al. (Comput. Chem. Eng., 2024)

From automated to autonomous process operations. - Michael Baldea; Apostolos T. Georgiou; R. Bhushan Gopaluni; Mehmet Mercangöz; Constantinos C. Pantelides; Kiran Sheth; Victor M. Zavala; Christos Georgakis 002 (Comput. Chem. Eng., 2025)