A virtual workshop on "Data-driven machine learning methodology for additive manufacturing"
- 30/12/2021
Being held online via Zoom, the workshop will welcome experts from world-renowned universities and research institutes such as RMIT University (Australia), Bauhaus University-Weimar (Germany), Ruhr University Bochum (Germany), University of Texas (USA), University of Michigan-Dearborn (USA), Madras Institute of Technology (India), Nanyang Technological University (Singapore), Thammasat University (Thailand), and others. The workshop will focus on data-driven approaches and computational simulations that are currently used in the 3D additive manufacturing technologies.
The upcoming online workshop on “Data-driven machine learning methodology for additive manufacturing” will be held at 2:00pm (Vietnam time) on January 10th, 2022
At 2:00pm on January 10th, 2022, Ho Chi Minh City University of Technology (HUTECH) will hold an online workshop on “Data-driven machine learning methodology for additive manufacturing” through Zoom. This workshop is part of the project entitled “Additive manufacturing based on deep learning” sponsored by the Vingroup Innovation Foundation (Vietnam) and the project entitled “Data-driven machine learning methodology for additive manufacturing” sponsored by the Humboldt Foundation (Germany).
Specific details of the workshop will include current data-driven approaches and machine learning techniques, as well as its application to 3D printing products. Discussion on recent advancements in practical applications, and the showcase of novel approaches to data-driven modeling. This will be an opportunity for teaching faculty, postgraduate students, and researchers to exchange ideas and update current approaches in the field. To attend the workshop, please register by 2:00pm on January 10th , 2022 HERE.
By Office of External and Public Relations
Specific details of the workshop will include current data-driven approaches and machine learning techniques, as well as its application to 3D printing products. Discussion on recent advancements in practical applications, and the showcase of novel approaches to data-driven modeling. This will be an opportunity for teaching faculty, postgraduate students, and researchers to exchange ideas and update current approaches in the field. To attend the workshop, please register by 2:00pm on January 10th , 2022 HERE.
By Office of External and Public Relations
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