Jose Rafael Prieto García is an Associate Professor at Pablo de Olavide University, affiliated with the Department of Social Anthropology, Basic Psychology and Public Health. His research focuses on cognitive development, educational assessment, and cooperative learning strategies. Education: PhD in Basic Psychology (2009), supervised by Dr. José A. Sánchez Medina and Dr. David Alarcón. Research interests include: Cognitive flexibility in childhood Private speech mechanisms Cooperative learning methodologies STEM education in Andean countries Psychological well-being in vulnerable populations His recent publications highlight trends in: Biomechanical tool development Programming education via GitHub Curriculum reform for Social Sciences Integrating digital tools into pedagogy Language disorders in educational contexts
Javier Márquez Ruiz is a Professor at the Universidad Pablo de Olavide within the Department of Physiology, Anatomy and Cell Biology. His work focuses on translational neuroscience with emphasis on transcranial electrical stimulation , cerebellar plasticity , and neurodegenerative disorders . He leads the tNeuro Translational Neuroscience Group and collaborates with the Neuroscience Laboratory. PhD in Neuroscience (2008) from the University of Seville His research explores electrophysiological mechanisms underlying brain stimulation techniques using in vivo animal models , particularly awake mice and behaving rabbits. Key areas include excitation-inhibition balance , Purkinje cell dynamics , and translational applications for conditions like Alzheimer's and autism. Recent publications examine gamma-tACS and tDCS effects across cortical and cerebellar regions. His work integrates computational modeling with experimental neurophysiology to understand how non-invasive stimulation modulates sensory processing and motor learning. Though no formal awards are listed, his publications demonstrate sustained contributions to neural plasticity and neurostimulation research . He participates in doctoral programs related to neuronal plasticity and cerebral cortex oscillations .
Francesc Salvador Beltran is a Full Professor at the University of Barcelona's Faculty of Psychology, affiliated with the Department of Social Psychology and Quantitative Psychology. He specializes in Quantitative Psychology and Behavioral Ecology, focusing on topics like primate social dynamics, collective animal behavior, and spatial modeling in semi-free-ranging populations. His research integrates empirical and computational methods to study behavior in species such as macaques, zebrafish, and neon tetras. Education: Licenciatura (1984) and Doctorate (1986) in Psychology from the University of Barcelona. Current teaching includes courses on primatology, quantitative methods, and animal behavior in undergraduate and master's programs. He leads research projects like 'Local interaction rules and collective motion in fish' (2016–2018), funded by Spain's Ministry of Economy and Competitiveness. Notable publications explore macaque social structures, fish collective motion algorithms, and early childhood policy transitions. He has supervised doctoral theses on fish schooling behavior and family support systems for individuals with developmental disabilities. Research collaborations include work on spatial proximity analysis in macaques and computational modeling of social styles in primates.
Andres Parrilla Almansa is a Researcher at the Department of Dermatology, Dentistry, Radiology and Physical Medicine within the Faculty of Medicine at the University of Murcia. His academic background includes a Doctorate from Universidad Católica San Antonio de Murcia (UCAM), where he completed his thesis titled Estudio morfológico predictivo mediante microtomografia computarizada del hueso y biomateriales implantados en un modelo animal in 2018, supervised by Dr. Francisco Martínez Martínez, Dr. Piedad N. de Aza Moya, and Dr. Luis R. Meseguer Olmo. His research interests focus on clinical radiology and biomaterial applications, particularly in bone and implant studies using computed microtomography. He is affiliated with the Clinical Radiology research group.
Antonio Agudo Martínez is a Research Scientist at the Institut de Robòtica i Informàtica Industrial (IRI), a joint center of the Spanish National Research Council (CSIC) and Polytechnic University of Catalonia (UPC). His work spans computer vision, robotics, and machine learning with applications in medical rehabilitation, sports analytics, and renewable energy systems. He holds advanced degrees in Industrial Engineering, Computer Science, and a PhD in Computer Vision and Robotics from the University of Zaragoza. His research focuses on non-rigid structure from motion , 3D reconstruction , and deformation analysis , with significant contributions to medical applications (stroke rehabilitation), sports analytics (soccer trajectory modeling), and industrial systems (wind turbine monitoring). His publication record shows consistent high-impact output at top venues like CVPR, ICCV, and ECCV, with recent work emphasizing uncertainty quantification in diffusion models and multi-agent trajectory prediction. Notable scientific recognition includes a Best Paper Award Honorable Mention at ECCV 2018 for GANimation: One-Shot Anatomically Consistent Facial Animation. His research portfolio includes leadership of national projects like GreenVAR (renewable energy systems) and GRAvatar (realistic avatar generation), alongside contributions to SMARTGAZE II for low-vision mobility assistance. Dr. Agudo actively supervises doctoral research in computer vision applications, with current PhD candidates focusing on multimodal tracking for autonomous vehicles, soccer video understanding, sports metrics, and avatar generation. His international collaborations include work at Harvard University, Queen Mary University of London, University College London, Bordeaux University, and National University of Entre Ríos.
Albert Garcia Pujadas is a Part-time Lecturer and Academic Director at the Barcelona School of Management (UPF). He leads the Master in Digital Marketing Management and contributes to postgraduate programs, combining academic work with extensive industry experience. Ingeniero Informático (Computer Engineering) Diplomado en Marketing y Branding His research focuses on digital marketing strategy , exploring ethical dilemmas in technology, data privacy, and consumer behavior. Publications highlight intersections of corporate strategy and digital transformation . His 2017 article "Libres o Vasallos. El dilema digital" examines digital dependency through lenses of consumer behavior , technology ethics , and corporate responsibility , reflecting broader trends in digital marketing research. Professional history includes executive roles at Ogilvy (Co-founder & Managing Director), Grupo Intercom (Marketing Director), and Lorente Estrategias (Client Director). He co-founded Cálico Electrónico (Nikodemo Animation), OneMojito, Foxize, and DevsHealth (CMO).
Miguel Ángel González Santamarta is an Assistant Professor at the University of León, affiliated with the College of Industrial, Computer Science, and Aerospace Engineering, Department of Mechanical, Computer Science, and Aerospace Engineering. His research focuses on Robotics, Artificial Intelligence, and Cognitive Architectures, particularly in Autonomous Systems, Human-Robot Interaction, and Explainable AI. Doctor of Philosophy (2024) from the University of León, with a thesis on hybrid cognitive architectures for autonomous robot behavior generation. His recent work emphasizes integrating Quantized Large Language Models (LLMs) into robotics for Edge AI applications, enhancing explainability and accountability in autonomous systems. Key projects include the VAULT mobile mapping system for ROS 2, the ROXIE explanation engine, and frameworks for Forensic Threat Detection using LLMs. He contributes to educational innovation, such as applying Github Classroom for teaching enterprise-level development. His articles span topics like ROS 2-based architectures , vision-language models , and cybersecurity in autonomous systems .
Silvia Tejada Gavela is a full-time Associate Professor in the Department of Biology at the University of the Balearic Islands (UIB), where she also serves as Deputy Director in Physiology. She is actively involved in teaching and research across multiple faculties, including Biology, Pharmacy, Physiotherapy, and Nutrition. Her academic and research profile is deeply interdisciplinary, spanning physiology, biochemistry, neuroscience, and environmental science. Education: Double degree in Biology and Biochemistry Ph.D. in Basic Medical Sciences, University of the Balearic Islands (UIB) Research Interests: Her primary research areas include sleep physiology, biological rhythms (chronobiology), linear and nonlinear analysis of time series, oxidative stress biomarkers and regulation, minimally invasive surgical techniques, growth plate studies, and aquatic ecotoxicology. She integrates physiological, biochemical, and ecological approaches in both animal and human health contexts. Publication Trends: Her recent scholarly work reflects a strong focus on oxidative stress in marine and clinical settings, neuropharmacology of wake states, surgical innovations, and the physiological and nutritional basis of health. The interdisciplinary nature of her research is evident in publications spanning neuroscience, orthopedics, toxicology, and nutrition. She has published 51 articles in international journals, with several in the first quartile. Scientific Contributions: Principal Investigator in the Neurofisiol R&D group Member of FI-TRACE and ECOINT research groups 67 oral/poster presentations at major scientific societies (SEBBM, SFRR, ERAS, EPOS, EFORT, SECF) Participant in 21 competitive research projects and 3 teaching innovation projects (PI in one each) Two research stays at prestigious institutions (Nijmegen, Tenerife) Advising and Grants: She is currently supervising doctoral theses in Nutrition, Neuroscience, Translational Public Health, and Plant Biology. She has led funded projects through National Plans, FIS, and CAIB special actions, including public administration research contracts. Her teaching spans undergraduate and master's levels in biology, physiotherapy, and nutrition. Laboratories and Research Teams: She leads the Neurofisiology (Neurofisiol) research group and is an active member of FI-TRACE (Flow Injection and Trace Analysis) and ECOINT (Interdisciplinary Ecology), fostering collaborative, multidisciplinary research in physiology, analytical biochemistry, and environmental health.
Francesc Arandiga Llau is a Professor in the Department of Mathematics at the Faculty of Mathematics, Universitat de València, Spain. He is affiliated with the ANIMS (Numerical Analysis, Images, Multiresolution and Simulation) research group, where he conducts research in applied mathematics with a focus on numerical methods and their applications. Education: PhD from Universitat de València (1992), thesis on operator approximation and spectral radius continuity, supervised by Dr. Vicent Caselles Costa. His research interests center on Numerical Analysis , Approximation Theory , and Multiresolution Methods , with significant contributions to WENO schemes , nonlinear interpolation , and image and signal compression . His work often bridges theoretical developments with practical implementations in computational mathematics and engineering. He has made notable advances in the stability, accuracy, and adaptability of reconstruction techniques for piecewise smooth and discontinuous functions. The analysis of his recent publications reveals a consistent focus on high-order numerical methods, particularly in the context of image processing and data compression . His work leverages multiresolution analysis , radial basis functions , and adaptive interpolation to improve accuracy and efficiency. Themes across his articles include monotonicity preservation, error control, and the design of nonlinear schemes that avoid spurious oscillations near discontinuities. There are no scientific awards explicitly mentioned in the provided text. Francesc Arandiga has extensive collaborative research, particularly with scholars such as Rosa Donat, Dionisio F. Yáñez, Pep Mulet, and Antonio Baeza. His work has been supported through various research projects, though specific grants are not detailed in the text. He has advised students, including those who have completed theses under his supervision, although a full list is not provided. He is a key member of the ANIMS research group, which focuses on Numerical Analysis, Images, Multiresolution, and Simulation. This team works on developing and analyzing advanced computational methods for scientific and engineering applications, particularly in the areas of data representation, image processing, and numerical solutions to differential equations.
Marta Rosa Hidalgo García is a faculty member in the Department of Mathematics at the Faculty of Mathematics, University of Valencia. She holds the academic rank of Assistant Professor (Ajudant Doctor) and is affiliated with the ANIMS research group, focusing on Numerical Analysis, Images, Multiresolution, and Simulation. Institution: University of Valencia School: Faculty of Mathematics Department: Department of Mathematics Research Group: ANIMS Email: marta.hidalgo@uv.es She received her PhD in 2013 from the Universitat Politècnica de Catalunya under the supervision of Dr. Robert Joan Arinyo. Her doctoral research centered on geometric constraint solving within dynamic geometry frameworks. Her research interests lie at the intersection of applied mathematics and computer science, particularly in geometric constraint solving, computational geometry, and graph theory. Her work involves algorithmic approaches to generating and analyzing minimally rigid graphs using Henneberg sequences, with applications in computer-aided design and symbolic computation. Her publication record includes a notable 2017 paper in the Journal of Symbolic Computation , which demonstrates her expertise in developing efficient algorithms for tree-decomposable minimally rigid graphs. The analysis of her research output indicates a strong focus on theoretical foundations of rigidity and constraint systems, with implications for automated geometric reasoning. Primary Field: Applied Mathematics Core Topics: Geometric Constraint Solving, Graph Algorithms, Rigidity Theory Marta Rosa Hidalgo García continues to contribute to the field through her research in applied mathematics, though no scientific awards or student advisement details are publicly documented in the provided sources. She is an active researcher with a solid foundation in mathematical computing and algorithmic geometry, contributing to both theoretical advances and practical applications in her domain.
Dr. Mercedes Alvarez San Roman is an Assistant Professor at the Department of Journalism and Audiovisual Communication of Carlos III University of Madrid . She is affiliated with the TECMERIN research group ( Television-Cinema: memory, representation and industry ), focusing on animation studies, gender representation in media, and cultural analysis of visual narratives. Her work bridges academic research with creative practice, particularly in digital postproduction and media literacy. Research Interests: Gender dynamics in Spanish and Latin American animation Historical reconstruction through stage names and visual archives Transition of Spanish cinema/television in digital era Materiality of digital imagery and posthuman representation Educational applications of 3D animation Cultural memory in audiovisual production Scientific Awards & Grants: Principal researcher for 'Mujeres pioneras en el cine de animación en España' (UC3M, 2024) Selected for Casa de Velazquez's archival research projects (2025) Leading Instituto de las Mujeres-funded studies on AI representation in media (2024-2025) She actively contributes to academic discourse through publications in journals like Feminist Media Studies and Animation , with notable recent work examining aging femininity in Disney's Encanto and the legacy of early cinema pioneers.
Alejandro Lara Doña is a predoctoral researcher at the University of Cádiz, Department of Automation, Electronics, Architecture and Computer Networks Engineering. He is affiliated with the Institute for Research and Innovation in Biomedical Sciences (INiBICA) and collaborates with the TIC212 Bioengineering, Automation and Robotics research group. Education: PhD in Progress, University of Cádiz (2025) Master's in Systems and Computer Engineering Research Industrial Electronic Engineering Degree Research Focus: His work combines biomedical engineering and automation to develop systems for pain assessment in rodents (via pupillometry), COPD management using AI/sensors, and smart oxygen therapy devices. Projects include telemonitoring air quality for COPD patients and automated pupil analysis for locus coeruleus activity. Publications: Recent work highlights AI-driven physiological monitoring, neural network applications in pain research, and IoT-based respiratory support systems. His 2025 thesis establishes a novel link between pupillary response analysis and chronic pain mechanisms. Industrial Experience: Former R&D&I laboratory technician and industrialization team member at Terrasun Holographic Institute.
Professor José Manuel Valderrama Zafra, affiliated with the University of Jaén since 1996, specializes in Geographic Information Systems (GIS), 3D modeling, and their applications in archaeology and wildlife ecology. He contributes to the Biodiversity and Sustainable Development research group (RNM-175) and collaborates with the Andalusian Institute of Iberian Archaeology on projects like BAECULA and BAECULA II. His work integrates GIS, remote sensing, and BIM for cultural heritage preservation and ecological studies in Mediterranean ecosystems, particularly focusing on deer and wild boar habitats in Sierra Morena. Doctorate from University of Jaén (2024) on GIS and 3D technology for wildlife management. Supervised by Dr. Concepción Azorit, Dr. Miguel Ángel Rubio Paramio, Dr. Antonia Oya Lechuga. Collaborated with University of Leicester on Richard III's virtual reconstruction. His research spans GIS development, 3D modeling, and geomatics for archaeology and ecology. Key projects include the Ministry of Science's 1FD97-0865 for GIS in olive oil sectors and multidisciplinary studies with the Spatial Experimentation Lab (HUM155). Recent publications highlight innovations in BIM for advanced construction, 3D antler asymmetry analysis, and UAS mapping of historical sites. His work bridges archaeological GIS , ecological spatial analysis , and digital heritage reconstruction . He explores topography's role in species distribution and has systematized Boolean operations for 3D architectural printing. Collaborations include Duke University's Maurizio Forte and Durham University's Marta Diaz-Guardamino.
Samuele Paganelli is a researcher at the Plant and Animal Genomics Research Group of the Universitat Autònoma de Barcelona (UAB), specializing in the genetics and genomics of rosacea. He is based in Lab 3.02 at the CRAG Building on the UAB Campus. University: Universitat Autònoma de Barcelona Department: Plant and Animal Genomics Research Group Email: samuele.paganelli@cragenomica.es Contact: Tel. +34 935636600 ext. 3326 His research focuses on understanding the genetic basis of rosacea through advanced genomics techniques, contributing to the broader fields of plant and animal biology.
Estefania Peña is a Researcher at the University of Zaragoza, specializing in computational biomechanics and vascular tissue modeling. Her work focuses on the biomechanical analysis of cardiovascular systems, atherosclerosis progression, and medical device modeling. She has contributed extensively to understanding the mechanical properties of vascular tissues and their implications in diseases such as abdominal aortic aneurysms and coronary artery disorders. Her research integrates experimental and numerical methods, including finite element analysis and computational fluid dynamics (CFD). She co-authored studies on the vulnerability of atherosclerotic plaques, the impact of mechanical properties on aneurysm outcomes, and the development of biomimetic myocardial tissues using advanced fabrication techniques. Her work bridges computational modeling with clinical applications, emphasizing the translation of biomechanical insights into medical practice. Key research areas include: Biomechanics of vascular tissues Computational modeling of atherosclerosis Medical device design and evaluation Cardiac tissue engineering Her recent articles (2025–2023) explore topics such as aneurysm mechanics, myocardium modeling, and the integration of machine learning in cardiovascular research. She collaborates widely, with contributions to international journals like Frontiers in Bioengineering and Biotechnology and Biomechanics and Modeling in Mechanobiology .
