Massimiliano Barolo

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 8

Top Topics

Probabilistic Neural Networks

Response Surface

Quality Prediction

Top Venues

Comput. Chem. Eng.

Publications

Isabella Jul-Jørgensen, Pierantonio Facco, Krist V. Gernaey, Massimiliano Barolo, Christian A. Hundahl
Data fusion of Raman spectra in MSPC for fault detection and diagnosis in pharmaceutical manufacturing. Comput. Chem. Eng. 184 (2024)
Luca Gasparini, Antonio Benedetti, Giulia Marchese, Connor Gallagher, Pierantonio Facco, Massimiliano Barolo
data for batch process monitoring under small-data scenarios. Comput. Chem. Eng. 180 (2024)
Francesco Destro, Zoltán K. Nagy, Massimiliano Barolo
A benchmark simulator for quality-by-design and quality-by-control studies in continuous pharmaceutical manufacturing ‒ Intensified filtration-drying of crystallization slurries. Comput. Chem. Eng. 163 (2022)
Gabriele Bano, Pierantonio Facco, Marianthi Ierapetritou, Fabrizio Bezzo, Massimiliano Barolo
Design space maintenance by online model adaptation in pharmaceutical manufacturing. Comput. Chem. Eng. 127 (2019)
Gabriele Bano, Zilong Wang, Pierantonio Facco, Fabrizio Bezzo, Massimiliano Barolo, Marianthi Ierapetritou
A novel and systematic approach to identify the design space of pharmaceutical processes. Comput. Chem. Eng. 115 (2018)
Riccardo De Luca, Martino Trabuio, Massimiliano Barolo, Fabrizio Bezzo
Microalgae growth optimization in open ponds with uncertain weather data. Comput. Chem. Eng. 117 (2018)
Gabriele Bano, Pierantonio Facco, Natascia Meneghetti, Fabrizio Bezzo, Massimiliano Barolo
Uncertainty back-propagation in PLS model inversion for design space determination in pharmaceutical product development. Comput. Chem. Eng. 101 (2017)
Andrea Depalo, Massimiliano Barolo, Fabrizio Bezzo, Riccardo Muradore
Phase identification for product quality prediction in batch processes: Application to industrial resin production. ECC (2015)
Federico Galvanin, Massimiliano Barolo, Fabrizio Bezzo
On the use of continuous glucose monitoring systems to design optimal clinical tests for the identification of type 1 diabetes models. Comput. Methods Programs Biomed. 109 (2) (2013)
Matteo Ottavian, Massimiliano Barolo, Howard C. Zisser, Eyal Dassau, Dale E. Seborg
Adaptive blood glucose control for intensive care applications. Comput. Methods Programs Biomed. 109 (2) (2013)
Federico Galvanin, Massimiliano Barolo, Gabriele Pannocchia, Fabrizio Bezzo
Online model-based redesign of experiments with erratic models: A disturbance estimation approach. Comput. Chem. Eng. 42 (2012)
Federico Galvanin, Massimiliano Barolo, Sandro Macchietto, Fabrizio Bezzo
Optimal design of clinical tests for the identification of physiological models of type 1 diabetes in the presence of model mismatch. Medical Biol. Eng. Comput. 49 (3) (2011)
Gianni Marchetti, Massimiliano Barolo, Lois Jovanovic, Howard C. Zisser, Dale E. Seborg
An Improved PID Switching Control Strategy for Type 1 Diabetes. IEEE Trans. Biomed. Eng. 55 (3) (2008)
Riccardo Muradore, Fabrizio Bezzo, Massimiliano Barolo
Optimal sensor location for distributed-sensor systems using multivariate regression. Comput. Chem. Eng. 30 (3) (2006)
Gianni Marchetti, Massimiliano Barolo, Lois Jovanovic, Howard C. Zisser, Dale E. Seborg
An Improved PID Switching Control Strategy for Type 1 Diabetes. EMBC (2006)