Sven Nõmm

The present project aims to develop novel and enhance existing methods of explainable artificial intelligence for the analysis of human motor functions. Pilot studies have demonstrated promising results to support the diagnosis of neurodegenerative diseases. In addition, we plan to extend the area of application from medicine to cognitive development and cognitive fatigue analysis. The integration of the explainer component will provide medical professionals with the necessary transparency of the decisions made by AI. Application in the area of cognitive development to support the school education process. Cognitive fatigue is known to cause severe injuries and serious financial losses. In-depth understanding of this phenomenon and ability to recognise mental fatigue targets to make the work environment safer and reduce monetary and non-monetary losses in the process of work.

The WaveTwin project aims to further develop a digital twin for estimating the wave state in the Baltic Sea from Synthetic Aperture Radar (SAR) data. Previous methods for SAR data are not successful enough for enclosed water bodies where steep wind waves are dominating. It is apparent that the Baltic Sea also cannot be covered fully with wave buoys to measure the energy spectrum, i.e. the distribution of wave energy by frequency. The use of SAR data allows us to effectively evaluate the wave spectrum over the entire Baltic Sea, skipping the high costs of installing and operating wave buoys. To achieve this goal, the team will use their expertise in the application of deep learning techniques to estimate wave spectra based on SAR images. Environmental protection and navigation at sea (e.g. for the construction and maintenance of wind farms) are two of the most important application areas. A growing interest in such problems is also evident in the field of situational awareness systems.

The purpose of the project is to demonstrate the usefulness and added value of the data layers being created and thereby strengthen the capacity of Estonian industry in the use of EO data. The research and development activities of the project are aimed at: (1) artificial intelligence-based software development for estimating wave parameters in the coastal zone and (2) optimization of InSAR processing capabilities.