IN-DEEP is a project of a European network of PhD students and leading researchers working in the complementary areas of applied mathematics, artificial intelligence (AI), high performance computing (HPC) and engineering applications.

The main objective of the IN-DEEP project is to provide high-level training to 9 Ph.D. students in the design, implementation, and use of explainable knowledge-driven Deep Learning (DL) algorithms to quickly and accurately solve inverse problems governed by Partial Differential Equations (PDEs). Training a new generation of professionals and equipping them with high-demand skills, crucial to the evolution of research tools and methods, will contribute to the creation of safe and highly accurate solutions based on artificial intelligence.

This research field has recently attracted a great deal of interest from scientists worldwide, due to its promising results in many applications, such as image recognition and natural language processing.

"I am very pleased to be able to dedicate my time and scientific passion to such important research tasks. The true value of these problems is measured in terms of human lives and the well-being of society," says Professor Maciej Paszyński, project coordinator from the AGH Faculty of Computer Science.

IN-DEEP will focus on real high-risk problems related to geophysics, smart cities and public health. The thematic scope of the project ranges from medical applications, such as imaging the human body or monitoring the growth of tumours in the body, to applications related to monitoring the safety of civil infrastructure (e.g. bridges and buildings), to geophysical applications such as underground storage of hydrogen and carbon dioxide, and geothermal power generation.

The project consortium is made up of 7 European universities and research centres; the University of the Basque Country (Spain) coordinator of the project, the University of Nottingham (UK), University of Pavia (Italy), Polytechnic of Torino (Italy), School of Arts and Crafts (France), University of AGH (Poland) and the Basque Center for Applied Mathematics (Spain) and two companies Tecnalia Research & Innovation and Siemens, with complementary areas of expertise in applied mathematics, artificial intelligence, high-performance computing and engineering applications.

The total value of the project up to 2.3 million EUR, including more than one million PLN for AGH.

  • 5 months, 1 week ago