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Project description A research line is proposed in the field of high-intensity laser treatment of high added-value metallic materials (i.e. high-grade stainless steels, titanium alloys, etc.) for the induction of subsurface residual stress fields as a post-processing method after their...

Project description - Data-driven applications of Restricted Boltzmann machines (RBMs) in bioinformatics and neuroscience. RBM are versatile models of generative Machine Learning. We can use this model on real dataset, particularly biologically-oriented, where the lack of samples and good...

Project description The MSCA Fellow will join the TRANS-NATURES research line, which investigates the intersection of architecture, ecology, and circularity. The proposed project will develop innovative approaches to material reuse and the regeneration of urban ecological niches, focusing on the...

Project description The selected candidate will participate in the Regional funded project HIBI: Green hydrogen production through water electrolysis coupled with a biomass energy recovery unit. The purpose of the project is to analyse the technical, environmental and economic feasibility of an...

Project description Hydrogen and HVO Dual-Fuel Combustion: A Theoretical and Experimental Approach for Heavy-Duty Engine Optimization. This project aims to study, through engine simulation, the impact on the performance and emissions of a compression ignition (CI) engine converted to hydrogen (H₂)...

Project description TPV research team at IES-UPM focuses on the development of thermophotovoltaic (TPV) devices, which convert incandescent thermal radiation into electricity with high efficiency. Unlike conventional solar cells that rely on visible light, TPV devices harness high-temperature heat...

Project description This research aims to develop a comprehensive methodology for designing and constructing modular roadway bridges. Modularity enhances automation, digitalization, and process efficiency by reducing components, leading to material and waste reductions. Using a limited number of...

Project description The Project is aimed at developing machine learning algorithms for predicting rainfall-runoff processes at catchment scale. We have selected a set of catchments where (15 min) yetographs and (15 min) hydrographs must be coupled so physics-inspired predictive algorithms bust be...

Project description To date, there are no known early, reliable and non-invasive markers of Parkinson’s disease, and neuropathological diagnosis is still the gold standard for its confirmation. In this regard, literature has identified that certain motor and non-motor biometric traits are affected...