Team

Co-chairs

Prof. Massimiliano Barolo

max.barolo@unipd.it

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

fabrizio.bezzo@unipd.it

Dr. Fabrizio Bezzo is 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). After working for digital technology company in the UK, he joined the University of Padova in 2002. His research interests comprise process and supply chain modeling and optimization in the chemical, pharmaceutical, and energy sectors. He has published over 200 scientific papers in international research journals and conference proceedings. In 2017-2022 he co-chaired the Energy Section of the European Federation of Chemical Engineering.

Prof. Pierantonio Facco

pierantonio.facco@unipd.it

Dr. Pierantonio Facco is Associate Professor at the University of Padova, where he received his PhD in Chemical Engineering in 2009. His research interests are related to data analytics, machine learning, statistical and deep learning to support chemical and process engineering for: processes and product quality monitoring; product formulation and process development; process understanding; process, product and technology scale-up/down; design of experiments. His main activities are concerned with multivariate statistical process and quality monitoring and control, Quality-by-Design, adaptive soft-sensing, process analytical technologies, and development of artificial vision systems. He is author of more than 80 publications, among which papers in peer reviewed journals, conference proceedings and book chapters.

Dr. Federico d’Amore

federico.damore@unipd.it

Dr. Federico d’Amore is a Junior Assistant Professor in Chemical and Process Engineering at the Department of Industrial Engineering, University of Padova, where he acquired his PhD in Chemical Engineering and his MSc Degree in Energy and Nuclear Engineering. Previously, he was a Post-Doctoral Research Associate in industrial decarbonisation at the Department of Energy, Politecnico di Milano (Italy). His research interests include the multi-scale design and optimisation of low carbon processes and integrated systems for the decarbonisation of energy and industry.

Post-doc researchers

Dr. Elia Arnese Feffin

elia.arnesefeffin@phd.unipd.it

An Industry 4.0 approach to the optimization of biopolymer production processes in territory-integrated biorefineries

Dr. Gianmarco Barberi

gianmarco.barberi@unipd.it

Machine learning techniques for the scale-up of biopharmaceutical processes

Dr. Alberto Saccardo

alberto.saccardo.2@phd.unipd.it

A model-based approach to the design and optimization of microalgae cultivation processes

Ph.D students

Luca Beccaro

luca.beccaro.2@phd.unipd.it

Ecosystems for Green Fuels production
zuhair tabrizi

Seyed Zuhair Bolourchian Tabrizi

seyedzuhair.bolourchiantabrizi@phd.unipd.it

Streamlining experimental information for carbonation process modelling

Andrea Botton

andrea.botton.1@phd.unipd.it

A Machine Learning approach to plant scale-up/down

Daniel Cristiu

daniel.cristiu@phd.unipd.it

Optimal supply chain design for sustainable production systems

Mauro Davanzo

mauro.davanzo.1@phd.unipd.it

Model-based approaches to accelerate the development and scale-up of API downstream manufacturing processes

Beatriz Felices Rando

beatriz.felicesrando@phd.unipd.it

Continuous microphotobioreactors for model identification of microalgae growth

Margherita Geremia

margherita.geremia@phd.unipd.it

Model-based design of experiments under uncertainty

Lorenzo Girardi

lorenzo.girardi.1@phd.unipd.it

Digital twins for process scale-up and efficiency improvement in energy transition scenarios
Stefan-mihnia

Mihnea Stefan

mihnea.stefan@phd.unipd.it

Soft-sensing and data analytics for in-line measurements in low-carbon cement production

Edoardo Tamiazzo

edoardo.tamiazzo@phd.unipd.it

Development of experimental protocols for chemical processes using machine learning and digital twins in Nitrogen Industry 4.0

Leonardo Varnier

leonardo.varnier@phd.unipd.it

Integrating state-of-the-art technologies for sustainable cement production

Research assistants

andrea rosolen

Andrea Rosolen

andrea.rosolen@unipd.it

Development of artificial vision systems for automatic food authentication

Marco Scomazzon

marco.scomazzon.1@studenti.unipd.it

Life cycle assessment of flotation technologies for raw material processing and recycling in the mining industries

Christian Siviero

christian.siviero@studenti.unipd.it

Development of DoE strategies for spray-drying product and process design

CAPE-Mountain

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