[Forum SIS] ISBIS: Quinto webinar della serie su "Leading Women in Business and Industrial Statistics"

[Fabrizio Ruggeri]

Cari colleghi,

di seguito troverete informazioni sul prossimo webinar dell'ISBIS (una
delle sette associazioni dell'International Statistical Institute).

Cordiali saluti

Fabrizio Ruggeri
Presidente ISBIS e Vice Presidente ISI
CNR IMATI, Milano

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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                    fabrizio AT mi.imati.cnr.it
CNR IMATI                           tel +39 0223699532
Via Alfonso Corti 12                fax +39 0223699538
I-20133 Milano (Italy)              www.mi.imati.cnr.it/fabrizio