Objective:The proposed research aims to interface mathematics with experiments and develop next generation instrumentation devices, with strong scientific and technological bearing as well as socio-economic impact. Scientific discovery relies upon the ability to cleverly devise controlled experiments that precisely sample a system"s states. Such states reveal invariants and can be predictively modelled. The system"s full characterisation requires experimental tools capable of observing hidden (unstable) invariant states, inaccessible to standard measurements. The present project will develop such a tool with both electronics and electrophysiological setups; it will have direct scientific impact, with industrial and clinical applications. Real-time tracking of these hidden states will provide unprecedented results in the use and development of mathematical paradigms within experimental setups, thus bringing mathematics closer to real-world phenomena, and to experiments. Ultimately it will yield the development of novel intelligent tools that explore and make use of unstable states. This technology will be then transferred to biological systems for alternative clinical therapies such as intelligent closed-loop deep-brain stimulation devices to treat neurodegenerative diseases like epilepsy. It will also impact experimentalists, giving them access to novel states suggesting new experimental paradigms. In the long term, we plan to commercially exploit the developed technologies by targeting specific industries (e.g. electronics) and developing a clinical apparatus.
MATH4SPORTS - Modelización matemática para la industria deportiva: salud y rendimiento
MATH4SPORTS seeks to transfer applied mathematics as a driving technology to the field of the sports industry, with a high potential for technology transfer to start-ups, professional clubs, researchers and other agents in the innovative environment of Bizkaia.
M-KONTAK - Investigación de los Fenómenos Asociados al Contacto Metal-Metal en Tecnologías de H2 a Alta Presión
The main objective of the M-KONTAK project is to gain an in-depth understanding of the failure modes and their effect on metallic materials and the surfaces of threaded joints in candidate technologies for high-pressure H2 effect on the metallic materials and surfaces that make up the threaded jo
KAIROS - Digitalización predictiva del comportamiento a largo plazo de materiales poliméricos composites. Empleo de IA, modelización basada en la física y metodologías de aceleración de ensayos
KAIROS was created with the main objective of researching and obtaining a solution that allows multi-scale digitisation combined with ML and accelerated testing methodologies, for the study of the long-term behaviour (creep, fatigue, ageing) of polymeric materials applicable, for example, to the
CHARGER+ - Nueva Generación de Puntos de Recarga de Vehículo Eléctrico con Funcionalidades Autónomas y Colaborativas e Impacto Cero
The general objective of the CHARGER+ project is to generate the necessary knowledge to define a new generation of electric vehicle (EV) charging points, so that the related Basque companies (electricity companies, charging post installation companies and charger manufacturers) will be in an adva