1st IN-DEEP Week

Note: Closed workshop for the consortium members and IN-DEEP project's students. 

IN-DEEP is a European Doctoral Network composed of nine doctoral candidates (DCs) and top scientists with complementary areas of expertise in applied mathematics, artificial intelligence, high-performance computing, and engineering applications. Its main goal is to provide high-level training to the nine DCs in designing, implementing, and using explainable knowledge-driven Deep Learning algorithms for rapidly and accurately solving inverse problems governed by PDEs. This area of research has experienced tremendous growth worldwide in the last lustrum due to its promising results in a plethora of applications, such as image recognition and natural language processing. IN-DEEP will focus on real-life high-risk problems arising from applications related to geophysics, smart cities, and health. By doing so, we will boost Europe’s training and research activities in new Deep Learning technologies for inverse problems. 

IN-DEEP will develop fundamental research at universities and research institutes that will be validated and applied to real-world use cases in technology centers and companies.

Program

Day 1 - Welcome & Scientific presentations. 

Day 2 - Scientific presentations.

Day 3 - Deep PDE solvers implementation (technical course). 

Day 4 - Research methodology and tools (transversal skills course).

Day 5 - Communication, dissemination, and transfer of knowledge.