• Predictive modeling of cardiovascular risk factors using OCT and Fundus Images with deep learning techniques 

  Arenzana, Irati; Ruiz, Susana; Díaz, Pablo; Franquesa, Francesc; Muñoz, Rafael; Gómez, Sandra; Sánchez Fortún, Adrian; Popuplana, Àngels; Sabala, Antoni; Mugica, Xabier; Besada, Idoia; Ayala, Unai; Barrenechea, Maitane (2026)

  PURPOSE: The study aims to develop and test predictive models using fundus and Optical Coherence Tomography (OCT) images to detect retinal structural patterns linked to cardiovascular risk factor and events, specifically ...

• Correlatos estructurales, microvasculares y electrofisiológicos retinianos de los biomarcadores plasmáticos en enfermedad de Alzheimer 

  Teijeira Portas, Sara; Murueta Goyena, Ane; Zamora, Aitor; Perez, Raquel; Fernández, Manuel; Almeida, Javier; Blanco, Elisa; Sainz Lugarezaresti, Unai; Gonzalez, Tirso; Ayala, Unai; Barrenechea, Maitane; Zuazo Atutxa, Garazi; Acera, Marian; del Pino, Rocío; Gabilondo, Iñigo (2025)

  Objetivo: Investigar la asociación entre biomarcadores plasmáticos de la enfermedad de Alzheimer (EA) y parámetros estructurales, vasculares y funcionales de la retina —medidos mediante OCT, OCT-A y ERG— en sujetos con EA ...

• El papel de las Oscilaciones Sistémicas de Baja Frecuencia (sLFOs) en la conformación de las Redes en Estado de Reposo (RSNs) y la Red de Acción Somato-Cognitiva (SCAN) 

  Azpeitia Loiti, Ibai; Barrenechea, Maitane; Marinazzo, D. (Sociedad Española de Ingeniería Biomédica, 2025)

  La resonancia magnética funcional en estado de reposo (resting-state functional Magnetic Resonance Imaging, rs-fMRI) es una técnica que evalúa la actividad cerebral espontánea mediante señales con contraste dependiente del ...

• Adaptive Positive-Negative Inertia-Emulation Control for Grid-Connected and Interlinking Converters 

  Paniagua Amillano, Julen; Iraeta Ayerbe, Itsaso; Unamuno, Eneko; Barrena, Jon Andoni; Ceballos, Salvador (IEEE, 2025)

  The contribution of virtual inertia through grid-connected converters is essential to tackle the stability issues that arise from the substitution of traditional synchronous generators by converter-interfaced systems. In ...

• Comparative Analysis of Second Order and First Order Filter-Based Inertia Emulation Control for Low-Inertia Power Systems 

  Aragón Sotelo, Diego Alexis; Unamuno, Eneko; Ceballos, Salvador; Barrena, Jon Andoni (IEEE, 2025)

  This article makes a comparative analysis between the classic first-order filter-based inertia emulation method and the more recent second-order filter-based approach, which manages to emulate the electrodynamic behaviour ...

• Enhancing Overload Capability of Electric Truck Inverters via Active Thermal Control 

  Agirrezabala, Eneko; Pascal, Yoann; Debbadi, Karthik; Liserre, Marco; Aizpuru, Iosu; Garrido, David (IEEE, 2026)

  Electric trucks are subject to demanding overload events during operations such as kerbstone climbing, where the inverter operates at low output frequency and high current, leading to significant thermal stress on power ...

• Elucidating the role of particle radius and active material diffusivity in metal-ion batteries 

  Oca, Laura; Arcelus, O.; Fernandez Gonzalez, Sergio; Lopetegi Tapia, Iker; Gucciardi, E.; Herran, A. (2025)

  The impact of particle size distribution and shape in metal-ion batteries has been widely reported1. For the same active material properties (active material diffusivity, open circuit potential etc.) the use of smaller ...

• Evaluating the Impact of Multiaxial Fatigue on the Integrity of Automated Storage System Rails 

  Esnaola, Jon Ander; Arin, Joanes; Elkoro Ugarteburu, Ander; Ezkurra, Mikel; Larrañaga Amilibia, Jon; Ulacia, Ibai (Wiley, 2025)

  As automated warehouses become more central to supply chains, the durability and safety of rack structures—especially shuttle rails—are increasingly critical. These components face repeated loading cycles, making them ...

• Machine Learning-Based Sensitivity Analysis of Geometric and Material Variables of Beam-to-upright bolt-less Connection 

  Calispa, Marcelo; Larrañaga Amilibia, Jon; Oyanguren , Aitor; Alberdi Orbegozo, Beñat; Iñurritegui-Marroquin, Aurea; Santamaria, David; Ulacia, Ibai (Wiley, 2025)

  Beam-to-upright semi-rigid assemblies are widely recognized in the storage warehouse industry for their lightweight nature, ease of installation, and favourable strength-to-weight ratio. Extensive research has focused on ...

• Assessing Scope 3 Emissions in Industrial Value Chains: A Query Combination Methodology Approach 

  Retegi, Jabier; Ibarra, Dorleta; Igartua, Juan Ignacio; Rabanete , Lierni (Springer Nature, 2026)

  This study examines the sustainability of Spain’s industrial value chains through a multidimensional lens, encompassing environmental, economic, and social (employment) dimensions. By using input–output tables, the research ...

• Small-Signal Analysis of Digitally Controlled DAB Converter Under Transient Dc-Bias Current Elimination Strategies 

  Aizpurua, Manex; GARAYALDE, ERIK; Spiazzi, Giorgio (IEEE, 2025)

  A discrete-time small-signal modelling strategy is developed for the dual active bridge converter operating under modulation strategies for transient dc-bias inductor current suppression. Most of these techniques consist ...

• The Interaction Blueprint: A Human-Centred Design Tool for Cognitive Human–Robot Interaction 

  Osa Arzuaga, Nagore; Lasa, Ganix; Mazmela Etxabe, Maitane; Apraiz, Ainhoa; Escallada Lopez, Oscar (Springer Nature, 2025)

  Robotic systems have progressed from isolated, pre-programmed manipulators to adaptive, learning agents capable of close collaboration with humans. This evolution outpaces most established Human–Robot Interaction (HRI) ...

• Insulation Technologies for State-of-the-Art Electrical Machines Used in Transport Electrification 

  Martinez Ocaña, Iago; Iannarelli, Iacopo; Seri, Paolo; Cavallini, Andrea (IEEE, 2025)

  This paper aims at presenting the technologies used in the electrical insulation of rotating machines dedicated to transport electrification. An analysis of the materials used in various insulation subsystems, the evaluations ...

• Hybrid Fault Detection and Diagnosis Approach of Power Connections for Induction Motors 

  Gonzalez-Jimenez, David; del-Olmo, Jon; Poza, Javier; Sarasola, Izaskun; Cabezas Olivenza, Mireya (IEEE, 2025)

  The increasing demand for reliable electric mobility solutions highlights the need for advanced fault detection and diagnosis (FDD) strategies to ensure system reliability and safety. This paper presents a hybrid approach ...

• Numerical Assessment Of Shot Peening Contribution To The Fatigue Strength Of Gear Tooth Root 

  Cortabitarte Laucirica, Gurutz; Telleria, Xuban; Llavori, Inigo; Ulacia, Ibai; Larrañaga, Miren; Esnaola, Jon Ander (Purdue University, 2025)

  Gears are commonly treated with shot peening (SP) and/or case hardening to enhance fatigue resistance. However, their effects are often conservatively assessed using standardized methods, which can limit their optimal ...

• Optimising Power Semiconductor Thermal Simulation via Finite Element Modeling 

  Agirrezabala, Eneko; Oca, Laura; Aizpuru, Iosu; Garrido, David; Baraia-Etxaburu Zubiaurre, Igor (IEEE, 2025)

  This article presents a Finite Element Modeling (FEM) framework for thermal analysis of power semiconductor modules, combining simulation accuracy with enhanced computational efficiency. Power losses are calculated using ...

• On-site estimation of battery electrochemical parameters with physics-informed neural networks in dynamic current profiles 

  Yeregui, Josu; Etxeberria, Malen; GARAYALDE, ERIK; IRAOLA, UNAI (2025)

  The accurate on-site estimation of battery electrochemical parameters is crucial for optimal battery management, enabling advanced control strategies and reliable prognostics. However, physics-based methods often suffer ...

• EAEko Derrigorrezko Bigarren Hezkuntzako curriculumaren aukerak eta hutsuneak diseinu konpetentzien garapenean STEM hezkuntzaren testuinguruan 

  Guridi Bikuña, Amaia; Bilbao, Ainara; Alvarez-Huerta, Paula (Udako Euskal Unibertsitatea (UEU), 2025)

  Ikerlan honetan, Euskal Autonomia Erkidegoko (EAE) Derrigorrezko Bigarren Hezkuntzako curriculumak, STEM hezkuntzaren testuinguruan, Rusmann eta Ejsing-Duun autoreen (2022) markoan definitutako diseinu konpetentziak ...

• Image Enhancement using GANs for Monocular Visual Odometry 

  Zubieta Ansorregi, Jon; Etxeberria Garcia, Mikel; Zamalloa, Maider; Arana-Arexolaleiba, Nestor (IEEE, 2021)

  Drones, mobile robots, and autonomous vehicles use Visual Odometry (VO) to move around complex environments. ORB-SLAM or deep learning-based approaches like DF-VO are two of the state-of-the-art technics for monocular VO. ...

• Development and Validation of a cloud-based Digital Twin Platform of a Li-ion Batteries by means of Cell-Level Modelling 

  Lizaso Eguileta, Olatz; Martínez Laserna, Egoitz; Miguel, Eduardo; IRAOLA, UNAI; Cantero, Igor (2022)

  In this paper, a battery cell's electrical and thermal models have been parameterised and then validated on a Digital Twin Simulation Platform. Furthermore, these models have been integrated to analyse thermo-electric ...

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