FACCO, PIERANTONIO
FACCO, PIERANTONIO
Dipartimento di Ingegneria Industriale - DII
Bioprocess feeding optimization through in silico dynamic experiments and hybrid digital models—a proof of concept
2024 Barberi, G.; Giacopuzzi, C.; Facco, P.
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.
Productive CHO cell lines selection in biopharm process development through machine learning on metabolomic dynamics
2024 Barberi, G.; Benedetti, A.; Diaz-Fernandez, P.; Sevin, D. C.; Vappiani, J.; Finka, G.; 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
An exploratory model-based design of experiments approach to aid parameters identification and reduce model prediction uncertainty
2023 Cenci, F.; Pankajakshan, A.; Facco, P.; Galvanin, 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
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
Data Analytics Can Help Reduce Energy Consumption in the Industrial Manufacturing of Specialty Chemicals
2022 Sartori, F.; Zuecco, F.; Facco, P.; Bezzo, F.; Barolo, M.
Data Augmentation to Support Biopharmaceutical Process Development through Digital Models-A Proof of Concept
2022 Botton, A; Barberi, G; Facco, P
Digital design of new products: accounting for output correlation via a novel algebraic formulation of the latent-variable model inversion problem
2022 Arnese Feffin, E; Facco, P; Bezzo, F; Barolo, M
Feature Selection and Molecular Classification of Cancer Phenotypes: A Comparative Study
2022 Zanella, Luca; Facco, Pierantonio; Bezzo, Fabrizio; Cimetta, Elisa
Integrating metabolome dynamics and process data to guide cell line selection in biopharmaceutical process development
2022 Barberi, Gianmarco; Benedetti, Antonio; Diaz-Fernandez, Paloma; Sévin, Daniel C; Vappiani, Johanna; Finka, Gary; Bezzo, Fabrizio; Barolo, Massimiliano; Facco, Pierantonio
Promoting the preservation of strawberry by supercritical CO2 drying
2022 Zambon, Alessandro; Facco, Pierantonio; Morbiato, Gianluca; Toffoletto, Marta; Poloniato, Gabriele; Sut, Stefania; Andrigo, Pietro; Dall'Acqua, Stefano; de Bernard, Marina; Spilimbergo, Sara