Jeffrey Andrew Tuhtan

This project is based on the new paradigm of "flow as information", a groundbreaking approach for underwater sensing of multiscale flows in Nature. It will lead to new, optimized devices and methods to measure, classify and explore the underwater environment when traditional methods are too expensive or simply do not work. Flow as information is inspired by aquatic animals who have evolved advanced sensory systems which combine sensing and information processing into a single framework. The proposal will advance TalTech's underwater sensing technologies from working prototypes (TRL3 to TRL5) to tests in relevant operational environments (TRL6), and support technology transfer to Estonian and international firms. These devices and methods will provide researchers, industry and authorities with new and reliable sources of flow data during extreme climate and weather events where conventional devices fail and when critical infrastructure is at risk, such as during storm surges and floods.

Bone loading is the stress on bones during physical activity. It affects bone health and current wearable devices cannot measure it accurately. OsteoSense uses minature biosensors to capture human motion and machine learning to estimate bone loading, providing feedback and expert guidance directly on your smart phone. The system will be tested by leading experts in Estonia and professional football and racing teams in the UK, providing a world-class solution for indoor and outdoor human motion capture and bone loading reporting.

Developing, testing and validating a fully automated AI fish counting system of 20+ freshwater fish species using more than 23 Mio. videos with fish, fish swarms and changing environmental conditions.