Automatic characterization of nanofiber assemblies by image texture analysis. Improved multivariate image analysis for product quality monitoring. Barolo (2012).Transfer of process monitoring models between different plants using latent variable techniques. Chemical Engineering Research and Design, 92, 273-284.ĥ. Transfer of process monitoring models between plants: batch systems. Food and Bioproducts Processing, 99, 99-108.Ħ. Data-driven modeling of milling and sieving operations in a wheat milling process. Artificial vision system for particle size characterization from bulk materials. Uncertainty back-propagation in PLS model inversion for the determination of the design space of a new pharmaceutical product. Food and Bioproducts Processing, 106, 127-136.ĩ.
Model-based approach to the design and scale-up of wheat milling operations - Proof of concept. A novel and systematic approach to identify the design space of pharmaceutical processes. Data analytics on raw material properties to accelerate pharmaceutical drugs development.
New tools for the design and manufacturing of new products based on Latent Variable Model Inversion. A hybrid framework for process monitoring: enhancing data-driven methodologies with state and parameter estimation. Using data analytics to accelerate biopharmaceutical process scale-up. Facco’s are: the ability of transferring research innovations to industrial world, good communication ability, great attitude to teamwork and to conceive innovative solutions and in the development of new research ideas.ġ5.Facco, P., S. Facco is also a certified Internal Auditor for the system of evaluation of the Quality. He is involved in national and international academic collaborations (Imperial college, Louisiana State University, Pukyong National University, Polytechnic University of Valencia, Rutgers University, University College London) and industrial partnerships (GlaxoSmithKline, Buhler, BASF, Versalis-Eni, Eli Lilly, Pfizer, Fresenius Kabi, Merial/Sanofi, Novamont, Safilo, Unox, Sirca).ĭr. He is referee of several prestigious scientific journals.
He attended several international congresses, presenting different works, also as an invited speaker. He is author of 100+ publications, among which 45 papers in peer reviewed journals, also as corresponding author, with the following bibliometric indices: H-index=16 on Scopus with 781 citations in 615 documents 18 on Google Scholar with 1039 citations 16 on Web of Science with 690 citations in 528 documents. His main activities are concerned with data analytics, machine learning, deep learning, hybrid models, multivariate statistical process and quality monitoring and control, Quality-by-Design, process and product development, adaptive soft-sensing, process analytical technologies, and development of artificial vision systems. His research interests deal with the development of data-driven methodologies to support chemical and process engineering activities for: process and product quality monitoring product formulation and process development process understanding and troubleshooting process continuous improvement process, product and technology scale-up/down and transfer design of experiments. Facco teaches Data analytics and design of industrial experiment for the curriculum of Chemical Engineering, and Quality control and data analytics in food production for the curriculum of Food and Health at the University of Padova. He is a Chemical Engineer and PhD in Chemical Engineering. Pierantonio Facco is Associate Professor at the Department of Industrial Engineering of the University of Padova. Ufficio Relazioni con il Pubblico - URP.Normativa e informazioni amministrative.Patrimonio artistico, storico e culturale.Finanziamenti per l'accesso nel mondo del lavoro.Sicurezza dei lavoratori e adempimenti ambientali.Salta al menu diritti, parità, inclusione Provider ECM - Educazione Continua in Medicina.Innovazione sociale, sostenibilità e inclusione.Trasferimento tecnologico e valorizzazione della ricerca.Innovazione e rapporti con le imprese e il mondo del lavoro.Relazioni internazionali per la ricerca.Digital learning e didattica innovativa.
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