Section: Partnerships and Cooperations

European Initiatives

FP7 & H2020 Projects

• HiPerNav (https://hipernav.eu) is an Innovative Training Network (ITN) funded through a Marie Skłodowska-Curie grant. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 722068. There is 14 fully funded and 2 partially funded PhD’s working on the project. The project aims to improve soft tissue navigation through research and development, to improve several bottleneck areas:

  • Creating effective pre-operative model(s) and planning

  • Faster and more accurate intra-operative model updates

  • Faster and more accurate model-to-patient registration

  • More intuitive user-interaction and effective workflow

  • Usage of high performance computing (e.g. GPU)

  From these 14 PhD students, two of them are from the Mimesis team: Jean-Nicolas Brunet and Sergei Nikolaev.

• Driven ((https://driven.uni.lu/) The overall aim of the DRIVEN project is to boost the scientific excellence and innovation capacity in data-driven simulation of the University of Luxembourg (UL) and its high-quality Twinning partners: Institut National de Recherche en Informatique et en Automatique (Inria), University of Limerick (ULIM) and University of Texas at Austin (UT Austin). To achieve this aim, the 3 year project will build upon the existing strong research and innovation base of UL and its Twinning partners. The recently established Computational Sciences interdisciplinary group is composed of members from different research units and disciplines as diverse as Earth Sciences, Life Sciences, Physics, Mathematics and Engineering, with the common goal to set up a network among application-driven scientists which can provide interdisciplinary expertise in the field and contribute to this platform of training and knowledge exchange. To boost their scientific excellence and technology transfer capacity in data-driven simulation, the partners will implement a research and innovation strategy focused on three sub-topics:

  1. Mathematical foundations for data-driven simulations – UL with UT Austin,

  2. Data-driven simulations for computer-assisted therapy – UL with Inria, and

  3. Data-driven simulations for functional composite materials – UL with ULIM.