[Forum SIS] ECMI Webinar "Math for Industry 4.0 – Models, Methods and Big Data", December 2 – 3, 2020

[Alessandra Micheletti]

We'd like to invite speakers to give a presentation in our ECMI Webinar
"Math for Industry 4.0 – Models, Methods and Big Data", December 2 – 3,
2020. Please feel free to forward this announcement to interested
colleagues.

In a joint activity of the Special Interest Groups "Mathematics for Big
Data" and "Math for the Digital Factory" of the European Consortium for
Mathematics in Industry (ECMI) this workshop strives to bring together data
scientists, mathematicians, and engineers from academia and industry to
discuss recent developments in digital manufacturing. The webinar consists
of a combination of plenary and contributed scientific talks.

There will be a session on digital twin technology with presentations
highlighting theoretical concepts and practitioners from industry showing
state of the art digital twin realizations. Another topic will be machine
learning and artificial intelligence applications in automated
manufacturing.

In addition, we plan a session with representatives of the MANUFUTURE
technology platform and the EU Industrial Technologies Programme (NMP)
about challenges in manufacturing research and funding opportunities in the
new Horizon Europe framework program.

Further information about confirmed plenary speakers, submission of
abstracts and pre-registration can be found on the event webpage,
http://www.wias-berlin.de/workshops/MA4DIFA/.

In case you have any further question, please contact us at
ma4difa a wias-berlin.de.

Looking forward to meeting you at this exciting event in industrial
mathematics,

Dietmar Hömberg, Nataša Krejić, Joachim Linn, Alessandra Micheletti



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Alessandra Micheletti
Associate Professor - Probability and Mathematical Statistics

Dept. of Environmental Science and Policy - ESP
Università degli Studi di Milano
via Saldini 50, 20133 Milano, Italy
phone: +39-02503-16130
fax: +39-02503-16090
http://users.mat.unimi.it/users/michel
<http://www.mat.unimi.it/users/michel>
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