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Structure Department of Industrial Engineering
Telephone 0498275473
Qualification Professore ordinario
Scientific sector ING-IND/25 - CHEMICAL PLANTS
University telephone book  Show

Notice and additional information
Additional information on Prof. Barolo's research activity can be obtained from the CAPE-Lab web site:

Office hours
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).
(updated on 28/01/2016 17:27)

Proposals for thesis
If you are interested to know some possibile topics for your final thesis project, please meet me in my office and I will be pleased to illustrate you my on-going research activities.
You may also visit the following web site to get an idea of the general research areas my research group (CAPE-Lab) is involved in:

Some thesis projects that have been assigned recently are listed below.

- Data analysis through multivariate statistical techniques: an industrial application
- Data analytics to improve process reliability in the manufacturing of specialty chemicals according to an Industry 4.0 approach
- Modeling of the primary phase of freeze-drying processes: a pharmaceutical industry application
- Multivariate monitoring of a semi-continuous pharmaceutical blending process
- Impact of measurement error in Bayesian design space determination for pharmaceutical processes
- Data analytics for powder feeding modelling on continuous secondary pharmaceutical manufacturing processes
- Design of dynamic experiments for the identification of data-driven dynamic models
- 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

Curriculum Vitae
Dr. Massimiliano (Max) 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. 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-reviewed papers and of some teaching monographs.
He serves as a member of the Board of directors of the Galilean School of Higher Education of Padova University, and has served as the President of the School of Engineering (2015/16 – 2017/18) and the Chair of the Master degree program in Chemical and process engineering (2010/11 ‒ 2013/14).
He also serves as the National delegate in the Working Party on “Quality by design” of the European Federation of Chemical Engineering, and as a member of the Board of Directors of AIDIC (the Italian Association of Chemical Engineering).

Max is the co-chair of the CAPE-Lab research group ( His research activities are in the process systems engineering area, particularly in the following fields:
• process chemometrics; data analytics
• “quality-by-design” for the pharmaceutical industry
• statistical process control
• process dynamics and control
• dynamics and control of physiological systems
• optimal model-based design of experiments

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

• 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)
• 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, 2018/19
• 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)

Research areas
My current research areas are the following:
• data analytics; process chemometrics
• development of “quality-by-design” methodologies for the pharmaceutical industry
• process monitoring; statistical process control
• 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

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

Lecturer's Publications (PDF): D949B7286FE06A911324469B52A574BE.pdf

List of taught course units in A.Y. 2019/20
Degree course code (?) Degree course track Course unit code Course unit name Credits Year Period Lang. Teacher in charge
IN0530 COMMON INP5071883 9 2nd Year (2019/20) First
SC1170 COMMON SC02106761 6 1st Year (2019/20) Second