Prof. Massimiliano Barolo
Dr. Massimiliano Barolo is a Professor of Chemical Engineering at the University of Padova. After graduating with honors in Chemical Engineering, he worked as a process engineer in the largest petrochemical site in Italy. He earned the Ph.D. degree in Chemical Engineering in 1994. His main research interests are in the fields of process chemometrics, and of dynamics, modeling, monitoring, and control of chemical processes and biomedical systems. He is the author or co-author of 100+ peer-reviewed papers and of some teaching monographs.
Prof. Fabrizio Bezzo
Dr. Fabrizio Bezzo is associate professor of Chemical Engineering at the University of Padova. He received his degree in Chemical Engineering at the University of Padova and his PhD at Imperial College London (UK). He worked at Silicon Graphics (Minneapolis, U.S.A.) and at Process Systems Enterprise (London,UK). His research interests comprise process design and supply chain optimization of production systems for renewable energy and biofuels, and the modeling and scaling-up of chemical and pharmaceutical processes. He has published over 130 scientific papers in international research journals and conference proceedings. Currently, he co-chairs the Energy Section of the European Federation of Chemical Engineering.
Dr. Pierantonio Facco
Dr. Pierantonio Facco is assistant professor of Chemical Engineering at the University of Padova. His research interests comprise the development and implementation of multivariate statistical techniques for the monitoring of industrial processes for the production of high added value goods.
Dr. Gabriele Bano
Development of methods and tools for a quantitative definition of the design space for pharmaceutical production processes
Dr. Riccardo De Luca
Model-based design of experiments for the optimization of freeze-drying processes for the pharmaceutical industry.
Development of a microfluidic platform for microalgae investigation and modelling
Design and optimization of supply chains for CO2 capture, transport, and sequestration
Realtime tracking of data-driven model performance to improve pharmaceutical process operation
Time expression of DNA/RNA sequencing data analysis for circadian rhythms identification
Automatic maintenance of data-driven models for life-cycle product management in continuous pharmaceutical manufacturing