MULTIscale modeling with applications in QUANTitative bioscience
Objective:The proposed project stems from methodological and practical challenges emerged from the collaboration between the PI and medical doctors and biologists in the last 4 years. From the methodological standpoint, we aim at: a) devising robust temporal multiscale models to describe the impaired metabolic dynamic of the pancreatic beta cells in monogenic diabetes, and the reprogrammed metabolic dynamic occurring in cancer cells; b) devise a reliable inverse problem methodology to assimilate data and estimate the parameters for these multiscale models; c) devise robust UQ techniques to assess clinically relevant QoIs. From the practical standpoint, we will: a) studying the effect of space-fractional models in the description of cardiac electrophysiology to surpass the unrealistic hypothesis of tissue homogeneity that underlies the existing Bidomain and Monodomain model; b) assess the correlation between cortical spreading depression and migraine by comparing cohort of patients and by performing individual case studies on patients suffering from migraine aura; c) support the design of new strategies in cardiac radiofrequency ablation. The proposed research will foster the development of new knowledge in the field of multiscale simulation, fractional modeling, inverse problems and uncertainty quantification, from both the theoretical and the computationally standpoint. At the same time, it will have provided neurologists with a reliable tool to guide interventional strategies in the attempt to stop migraine, and cardiologists with a robust and efficient tool to test safety and efficiency of new strategies in catheter cardiac ablation. The successful development of a predictive computational model requires a mix of competences, from mathematical and numerical analysis to statistics, that are encompassed by the research team of the proposed research. Most important, interdisciplinary collaborations are fundamental to develop model that are applicable to real life problems. In this respect, the project will largely benefit from existing collaborations of the PI with cardiologists, neurologists, and biologists.
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