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

An Improved PID Switching Control Strategy for Type 1 Diabetes. - Gianni Marchetti; Massimiliano Barolo; Lois Jovanovic; Howard C. Zisser; Dale E. Seborg (IEEE Trans. Biomed. Eng., 2008)

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)

Adaptive blood glucose control for intensive care applications. - Matteo Ottavian; Massimiliano Barolo; Howard C. Zisser; Eyal Dassau; Dale E. Seborg (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)

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)

A benchmark simulator for quality-by-design and quality-by-control studies in continuous pharmaceutical manufacturing ‒ Intensified filtration-drying of crystallization slurries. - Francesco Destro; Zoltán K. Nagy; Massimiliano Barolo (Comput. Chem. Eng., 2022)

Data fusion of Raman spectra in MSPC for fault detection and diagnosis in pharmaceutical manufacturing. - Isabella Jul-Jørgensen; Pierantonio Facco; Krist V. Gernaey; Massimiliano Barolo; Christian A. Hundahl (Comput. Chem. Eng., 2024)

On the use of machine learning to generate in-silico data for batch process monitoring under small-data scenarios. - Luca Gasparini 003; Antonio Benedetti; Giulia Marchese; Connor Gallagher; Pierantonio Facco; Massimiliano Barolo (Comput. Chem. Eng., 2024)

Smart Process Analytics for Process Monitoring. - Fabian Mohr; Elia Arnese-Feffin; Massimiliano Barolo; Richard D. Braatz (Comput. Chem. Eng., 2025)