Personale docente

Massimiliano Barolo

Professore ordinario

ING-IND/25

Indirizzo: VIA F. MARZOLO, 9 - PADOVA . . .

Telefono: 0498275473

Fax: 0498275461

E-mail: max.barolo@unipd.it

  • Students may meet me in my office whenever they wish, even without prior notice. If they prefer to schedule a meeting, they may email me or ring me up. Skype meetings may be arranged for students who are not willing to travel to Padova (microphone and webcam required; chats will not be allowed).

Dr. Massimiliano (Max) Barolo is a Professor of Chemical Engineering and the President of the School of Engineering of Padova University.
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. In the same year, he worked as a research assistant at the Italian National Research Council (CNR). He has been a visiting student (1993) and a visiting academic (1995) at the Centre for Process Systems Engineering of Imperial College (London, U.K.), and a visiting Professor (2005; 2009) at the Department of Chemical Engineering of the University of California (Santa Barbara, CA).
He is the author or co-author of 100+ peer-reviwed papers and of some teaching monographs.
He serves as the National academic delegate in the Working Party on “Quality by design” of the European Federation of Chemical Engineering.

RESEARCH
Max is the co-chair of the CAPE-Lab research group (http://www.capelab.dii.unipd.it/). His research activities are in the process systems engineering area, particularly in the following fields:
• process monitoring; statistical process control; statistical quality control; process chemometrics
• development of “quality-by-design” methodologies for the pharmaceutical industry
• process dynamics and control
• dynamics and control of physiological systems
• development of anti-fraud and anti-adulteration systems for the food sector
• optimal model-based design of experiments
Past research activities have been in the fields of distillation systems design and control, process simulation, and process thermodynamics.

TEACHING
Max’s teaching experience includes the following courses:
• Process dynamics and control
• Unit operations
• Process design
• Design of chemical process equipment
• Basic chemical engineering calculations

AWARDS / HONORS
**Research**
• 2014: recipient of “The PSE Model-Based Innovation Prize 2014” from Process Systems Enterprise Ltd., London U.K. for a study on models of blood coagulation disorders (with F. Galvanin, F. Bezzo, R. Padrini and A. Casonato);
• 2013: recipient of the IFAC “Best Poster Award” for a paper presented at the DYCOPS 2013 Conference (Mumbai, India) for a study on quality control in the manufacturing of pharmaceutical products (with M. Ottavian and S. García-Muñoz)
• 2008: recipient of the IFAC/Elsevier prize for the best application paper published in the period 2005-2008 in the “Journal of Process Control” for a study on the optimal selection of measurement sensors in batch processes (with E. Zamprogna and D. E. Seborg)
**Teaching**
• Ranked no.1 in the students’ ranking of the Professors of the second-cycle (Master) degree program in Chemical and Process Engineering at Padova University in the following academic years: 2008/09, 2009/10, 2010/11, 2011/12
• Ranked no.1 in the students’ ranking of the Professors of the second-cycle (Master) degree program in Industrial Chemistry at Padova University in the following academic years: 2012/13, 2013/14, 2015/16
**As an undergraduate student**
• 1989: awarded as “Outstanding undergraduate chemical engineering student” (by FEDERCHIMICA, the Italian Federation of Chemical Process Industries)
• 1988: awarded as “Outstanding undergraduate chemical engineering student” (by MONTEDISON, the Italian largest petrochemical company)

To download a list of Prof. Barolo's publications, please follow the link.

Download Pubblicazioni_Barolo.pdf

My current research areas are the following:

• process monitoring; statistical process control; statistical quality control; process chemometrics
• development of “quality-by-design” methodologies for the pharmaceutical industry
• process dynamics and control
• dynamics and control of physiological systems
• optimal model-based design of experiments

If you are interested to know which projects are available for your final thesis, please meet me in my office and I will be pleased to illustrate you my on-going activities.
You may also visit the CAPE-Lab web site to get an idea of the general topics that are available for your final thesis:

http://www.capelab.dii.unipd.it

Some thesis topics that have been assigned recently are reported below.

- Online characterization of particle size distribution of mixtures using multivariate image analysis
- Diagnosis of first-principles mathematical models using data analytics
- Multivariate statistical modeling to support pharmaceutical product development: an industrial case study
- Scale up-oriented characterization of fermenters used in bacterial vaccine production
- Analysis of asset effectiveness and implementation of best practices in a large chemical company
- Historical data analysis for a stryrenic polymer industrial plant using multivariate statistical techniques
- Prediction of viral titre in an industrial reovirus manufacturing process for the formulation of avian vaccines
- Development of multivariate statistical techniques for product design under uncertainty
- Monitoring the quality of food products along the supply chain: a case study on speck
- Product transfer between different equipment using multivariate statistical techniques: application to a nanoparticle production process
- Transfer of process monitoring models for continuous and batch systems by multivariate statistical techniques
- Optimal design of experiments for the identification of pharmacodynamic models of bacterial resistance to antibiotics
- Solubility analysis and modelling for pharmaceutical product design

Additional information on Prof. Barolo's research activity can be obtained by visiting the CAPE-Lab web site:

http://www.capelab.dii.unipd.it/