Dear all,
please find below information on the next ISBIS webinar.
Best regards
Fabrizio Ruggeri
ISBIS President and ISI Vice-President
CNR IMATI, Milano, Italy
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TITLE: "Towards big data mining in Industry 4.0: quality modeling and
monitoring in additive manufacturing"
LECTURER: Bianca Maria Colosimo, Department of Mechanical Engineering,
Politecnico di Milano, Italy
WHEN: Wednesday, April, 21st, at 16.00-17.00 (Italy, Germany, France,
Belgium), 15.00-16.00 (UK) and 10.00-11.00 (US East Coast)
REGISTRATION: The webinar is free of charge and registration is possible at
https://register.gotowebinar.com/register/8906365656511594000
ISBIS (International Society for Business and Industrial Statistics) is
organising the fifth instalment of the webinar series on "Leading Women
in Business and Industrial Statistics Webinar Series", as part of the
International Year of Women in Statistics and Data Science (IYWSDS)
promoted by ISI (International Statistical Institute).
Past webinars of the series (and other videos) can be seen at
https://www.isbis-isi.org/webinars.html
ABSTRACT: Fostered by Industry 4.0, complex and massive data sets are
currently available in many industrial settings and manufacturing is
facing a new renaissance, due to the wide spread of emerging process
technologies (e.g., additive manufacturing, micro-manufacturing) combined
to a paradigm shift in sensing and computing. On the one hand, the
product quality is characterized by free-form complex shapes, measured
via non-contact sensors and resulting in large unstructured 3D point
clouds. On the other hand, in-situ and in-line data are available as
multi-stream signals, image and video-images. In this scenario,
traditional approaches for intelligent data analysis need to be revised.
Starting from real industrial settings, opportunities and challenges
to be faced in the current framework are discussed.
SHORT BIO: Bianca Maria Colosimo is Deputy-Head of the Department and
co-founder of the AddMe Lab, a research laboratory on novel solutions
for metal additive manufacturing. She is also member of Polimi2040,
a team designated by the Rector with the aim of envisioning future
scenarios for technical universities worldwide.
She is Editor-in-chief of the Journal of Quality Technology (ASQ),
member of the QSR Advisory Board at INFORMS, Council member of ENBIS,
member of the Implementation Support Group of the platform Manufuture
of the European Commission (
http://www.manufuture.org
); member of the
Board of Directors of EIT manufacturing – CLC south and of the Board of
Directors of MADE (
www.made-cc.eu
); member of the Steering Committes
of the EU Vanguard initiative on 3D printing and of the World
Manufacturing Forum (
https://www.worldmanufacturingforum.org/
)
Her research interest is mainly in the area of industrial data modeling,
monitoring and control, with special attention to big data challenges
in advanced manufacturing. On these topics, she is author of 100+
peer-reviewed contributions, most of them published in peer-reviewed
international journals and books.
She received her MSc and PhD in Industrial Engineering from Politecnico
di Milano. After her PhD, she was visiting scholar at the Pennsylvania
State University (PSU).
She is included among the top 100 Italian woman scientists in STEM –
(
https://100esperte.it/
)
LINKS:
- ISBIS:
https://www.isbis-isi.org/
- ISI :
https://www.isi-web.org/
- International Year of Women in Statistics and Data Science:
https://www.isi-web.org/events/calendar/iywsds
- ISI World Statistics Congress:
https://www.isi2021.org/------------------------------
Fabrizio Ruggeri
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