BAROLO, MASSIMILIANO
BAROLO, MASSIMILIANO
Dipartimento di Ingegneria Industriale - DII
On the impact of mechanistic model quality and data availability in hybrid model development
2026 Geremia, M.; Marella, T.; Ardalani, E.; Beyramysoltan, S.; Chattoraj, S.; Facco, P.; Barolo, M.; Bezzo, F.
On the Equivalence Between Null Space and Orthogonal Space in Latent Variable Regression Modeling
2025 García‐carrión, Sergio; Sartori, Francesco; Borràs‐ferrís, Joan; Facco, Pierantonio; Barolo, Massimiliano; Ferrer, Alberto
Smart Process Analytics for Process Monitoring
2025 Mohr, Fabian; Barolo, Massimiliano; Braatz, Richard D.; Arnese Feffin, Elia
Transforming the Process Industries through Electrification: Challenges and Opportunities
2025 Baldea, Michael; Endler, Elizabeth E.; Hale, Elaine; Maravelias, Christos T.; Barolo, Massimiliano; Harjunkoski, Iiro; Mercangoz, Mehmet; Shah, Sirish L.; Soroush, Masoud; Young, Brent R.; Zhang, Qi
Capturing connectivity information from process flow diagrams by sequential-orthogonalized PLS to improve soft-sensor performance
2024 Zhu, Qiang; Facco, Pierantonio; Zhao, Zhonggai; Barolo, Massimiliano
Data fusion of Raman spectra in MSPC for fault detection and diagnosis in pharmaceutical manufacturing
2024 Jul-Jørgensen, I.; Facco, P.; Gernaey, K. V.; Barolo, M.; Hundahl, C. A.
Hybrid modeling of a biorefinery separation process to monitor short-term and long-term membrane fouling
2024 Arnese Feffin, E.; Facco, P.; Turati, D.; Bezzo, F.; Barolo, M.
Inverse design via PLS model inversion
2024 Palaci-Lopez, D.; Borras-Ferris, J.; Facco, P.; Barolo, M.; Ferrer, A.
On the use of machine learning to generate in-silico data for batch process monitoring under small-data scenarios
2024 Gasparini, L.; Benedetti, A.; Marchese, G.; Gallagher, C.; Facco, P.; Barolo, M.
Predicting drug solubility in organic solvents mixtures: A machine-learning approach supported by high-throughput experimentation
2024 Cenci, F.; Diab, S.; Ferrini, P.; Harabajiu, C.; Barolo, M.; Bezzo, F.; Facco, P.
Systematizing product design by latent-variable modeling – A unifying framework for the formulation and solution of PLS model inversion problems
2024 Arnese-Feffin, Elia; Facco, Pierantonio; Bezzo, Fabrizio; Barolo, Massimiliano
Understanding Fouling in an Industrial Biorefinery Membrane Separation Process by Feature-Oriented Data-Driven Modeling
2024 Arnese-Feffin, Elia; Facco, Pierantonio; Turati, Daniele; Bezzo, Fabrizio; Barolo, Massimiliano
A general procedure for the evaluation of the prediction fidelity of pharmaceutical systems models
2023 Geremia, M.; Diab, S.; Christodoulou, C.; Bano, G.; Barolo, M.; Bezzo, F.
Assessing process systems models for pharmaceutical development
2023 Geremia, M.; Diab, S.; Christodoulou, C.; Bano, G.; Barolo, M.; Bezzo, F.
Data-driven tools for the optimization of a pharmaceutical process through its knowledge-driven model
2023 Castaldello, C.; Facco, P.; Bezzo, F.; Georgakis, C.; Barolo, M.
Optimal Indicator-Variable Approach for Trajectory Synchronization in Uneven-Length Multiphase Batch Processes
2023 Sartori, F; Facco, P; Zuecco, F; Bezzo, F; Barolo, M
Quality-by-control of intensified continuous filtration-drying of active pharmaceutical ingredients
2023 Destro, F; Barolo, M; Nagy, Zk
Troubleshooting high-pressure issues in an industrial biorefinery process by feature-oriented modeling
2023 Arnese-Feffin, Elia; Facco, Pierantonio; Turati, Daniele; Bezzo, Fabrizio; Barolo, Massimiliano
A benchmark simulator for quality-by-design and quality-by-control studies in continuous pharmaceutical manufacturing - Intensified filtration-drying of crystallization slurries
2022 Destro, Francesco; Nagy, Zoltan K.; Barolo, Massimiliano
A review on the modernization of pharmaceutical development and manufacturing – Trends, perspectives, and the role of mathematical modeling
2022 Destro, Francesco; Barolo, Massimiliano