CTMI2019 poster

Mathesia @ Conference on Transfer between Mathematics & Industry

On July 23rd, Mathesia will participate to the 1st Conference on Transfer between Mathematics & Industry [CTMI 2019] – a satellite meeting of ICIAM 2019 – talking about How to crowdsource Industrial Mathematics and Data Science.

The innovation of Mathesia and its uniqueness is founded in its specialisation – applied mathematics – but also in its model, the brainsourcing: Mathesia allows companies to access a wide range of high-profile skills, facilitating the transfer of technology and know-how and putting in direct communication the business world with that of academia.

We will present the unique crowdsourcing model of Mathesia and some of our projects:

  • Safety Pre-Sense (Eni) – A descriptive and correlation analysis of safety events, highlighting patterns and similarities useful for the next steps, and to identify other possible sources of information.
  • CFD Optimization of Cooling towers (MITA Cooling Technologies) – Fluid distribution analysis in cooling tower, improving the cooling tower performance by CFD approach.
  • Resource Allocation Optimization (company leader in business process outsourcing) – Optimization of daily resource allocation: static optimization and dynamic reassignment of the jobs

 

The goals of the CTMI 2019 are:

  • To show the extent in which collaboration with the industry has allowed the opening of new lines of research in the field of mathematics and its reflection in publications of international impact and in the development of doctoral theses.
  • To provide a forum for industrial technicians to work alongside academic scientists on problems of direct industrial relevance.
  • To publicize existing infrastructures that have helped to promote the transfer of mathematical knowledge to the productive sector and the special commitment of the international mathematical community to facilitate the knowledge transfer with the industry.
  • To introduce some singular experiences of experiences of long-life learning for industry technicians. And also, to incorporate in the future curricula for the new generations the detected improvements to match with the industry needs.