A general methodology for hybrid multizonal/CFD models: Part II. Automatic zoning. - Fabrizio Bezzo; Sandro Macchietto (Comput. Chem. Eng., 2004)

A general methodology for hybrid multizonal/CFD models: Part I. Theoretical framework. - Fabrizio Bezzo; Sandro Macchietto; Constantinos C. Pantelides (Comput. Chem. Eng., 2004)

Optimal sensor location for distributed-sensor systems using multivariate regression. - Riccardo Muradore; Fabrizio Bezzo; Massimiliano Barolo (Comput. Chem. Eng., 2006)

Spatially explicit multi-objective optimisation for design and planning of hybrid first and second generation biorefineries. - Sara Giarola; Andrea Zamboni; Fabrizio Bezzo (Comput. Chem. Eng., 2011)

Optimal design of clinical tests for the identification of physiological models of type 1 diabetes in the presence of model mismatch. - Federico Galvanin; Massimiliano Barolo; Sandro Macchietto; Fabrizio Bezzo (Medical Biol. Eng. Comput., 2011)

Online model-based redesign of experiments with erratic models: A disturbance estimation approach. - Federico Galvanin; Massimiliano Barolo; Gabriele Pannocchia; Fabrizio Bezzo (Comput. Chem. Eng., 2012)

On the use of continuous glucose monitoring systems to design optimal clinical tests for the identification of type 1 diabetes models. - Federico Galvanin; Massimiliano Barolo; Fabrizio Bezzo (Comput. Methods Programs Biomed., 2013)

Phase identification for product quality prediction in batch processes: Application to industrial resin production. - Andrea Depalo; Massimiliano Barolo; Fabrizio Bezzo; Riccardo Muradore (ECC, 2015)

A methodology for direct exploitation of available information in the online model-based redesign of experiments. - Riccardo De Luca; Federico Galvanin; Fabrizio Bezzo (Comput. Chem. Eng., 2016)

Strategic optimisation of biomass-based energy supply chains for sustainable mobility. - Federico d'Amore; Fabrizio Bezzo (Comput. Chem. Eng., 2016)

Uncertainty back-propagation in PLS model inversion for design space determination in pharmaceutical product development. - Gabriele Bano; Pierantonio Facco; Natascia Meneghetti; Fabrizio Bezzo; Massimiliano Barolo (Comput. Chem. Eng., 2017)

A novel and systematic approach to identify the design space of pharmaceutical processes. - Gabriele Bano; Zilong Wang 008; Pierantonio Facco; Fabrizio Bezzo; Massimiliano Barolo; Marianthi Ierapetritou (Comput. Chem. Eng., 2018)

Microalgae growth optimization in open ponds with uncertain weather data. - Riccardo De Luca; Martino Trabuio; Massimiliano Barolo; Fabrizio Bezzo (Comput. Chem. Eng., 2018)

Design space maintenance by online model adaptation in pharmaceutical manufacturing. - Gabriele Bano; Pierantonio Facco; Marianthi Ierapetritou; Fabrizio Bezzo; Massimiliano Barolo (Comput. Chem. Eng., 2019)

European supply chains for carbon capture, transport and sequestration, with uncertainties in geological storage capacity: Insights from economic optimisation. - Federico d'Amore; Nixon Sunny; Diana Iruretagoyena; Fabrizio Bezzo; Nilay Shah (Comput. Chem. Eng., 2019)

A framework for the optimal design of a minimum set of clinical trials to characterize von Willebrand disease. - B. Taverna; A. Casonato; Fabrizio Bezzo; Federico Galvanin (Comput. Methods Programs Biomed., 2019)

Meteorological Data-Based Optimal Control Strategy for Microalgae Cultivation in Open Pond Systems. - Riccardo De Luca; Fabrizio Bezzo; Quentin Béchet; Olivier Bernard 003 (Complex., 2019)

A novel framework for the identification of complex feasible space. - Margherita Geremia; Fabrizio Bezzo; Marianthi G. Ierapetritou (Comput. Chem. Eng., 2023)

An optimal experimental design framework for fast kinetic model identification based on artificial neural networks. - Enrico Sangoi; Marco Quaglio; Fabrizio Bezzo; Federico Galvanin (Comput. Chem. Eng., 2024)

Economic and environmental optimisation of mixed plastic waste supply chains in Northern Italy comparing incineration and pyrolysis technologies. - Daniel Crîstiu; Federico d'Amore; Fabrizio Bezzo (Comput. Chem. Eng., 2024)

Targeting fidelity of pharmaceutical systems models by optimization of precision on parameter estimates. - Margherita Geremia; Giulio Cisco; Samir Diab; Gabriele Bano; Fabrizio Bezzo (Comput. Chem. Eng., 2024)