WIM2019

Workshop in Industrial Mathematics:

Reduced-Order Modeling, Simulation and Optimization of Coupled Systems

14-17 October 2019, in Strobl, Austria

 

The Workshop in Industrial Mathematics (WIM2019) with the Reduced-Order Modeling, Simulation and Optimization of Coupled Systems theme focuses on various aspects of mathematical applications in industry with an emphasis on “Reduced Methods” (R), “Optimization and Inverse Problems” (O) and “Coupled Systems” (C) addressing a variety of challenges arising in a broad array of industrial applications.

WIM2019 is divided into three main blocks, dedicated to O, C and R class of problems. Each block opens with a talk of an expert in the corresponding field followed by further sessions from experienced speakers presenting their work and talking about related challenges. Every block ends with an open discussion session encouraging participants to raise questions and share their experiences in the topic.

One morning is devoted to a group work session in which the participants are encouraged to work together in teams on individual problems. It intends to provide the participants the opportunity to apply their knowledge and, furthermore, benefit from the know-how of their team members. The block ends with a presentation and discussion of the group results.

The workshop, moreover, includes an industry-featured session, hosting speakers from the industry on mathematical aspects. It hopes to provide the participants an insight into the various facets of industrial mathematics.

The workshop is held between 14th to 17th October 2019 at the Bundesinstitut für Erwachsenenbildung (bifeb) in Strobl, Austria. The venue is provided by the Federal Ministry of Education, Science and Research (BMBWF) of Austria as an attractive facility for seminars or workshops in a picturesque scenery next to the Wolfgangsee providing boarding and accommodation.

The WIM2019 event received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 765374.

 

LINK TO THE MAP