Alberto Antonioni is an Associate Professor in the Department of Mathematics at Carlos III University of Madrid. His research focuses on complex systems, game theory, and behavioral science, with applications to social cooperation, climate policy acceptance, and network dynamics. His work integrates theoretical modeling with experimental approaches to study how individual behaviors aggregate into collective phenomena. Key research areas include the evolution of cooperation in social dilemmas, public acceptance of environmental policies, and AI-mediated social interactions. Dr. Antonioni's publications demonstrate methodological diversity, employing agent-based models, network science, and behavioral experiments to address societally relevant challenges like pandemic responses and ecological transitions.
Daniel Calvete Manrique is an Associate Professor at the School of Telecommunications and Aerospace Engineering (EETAC) of the Polytechnic University of Catalonia (UPC), where he holds a position in the Department of Physics. His academic journey includes a Degree in Physics from the University of Barcelona (1995) and a PhD in Physics from UPC (1999), focusing on morphological stability models. He conducted postdoctoral research at Utrecht University’s Institute for Marine and Atmospheric Research (1999–2002) and joined UPC’s Ramón y Cajal Program (2003–2008) before becoming an Associate Professor in 2008. His research interests center on coastal morphodynamics, including sedimentary patterns on continental shelves, linear stability analysis, and dynamics of shoreface-connected ridges, crescentic bars, and beach cusps. He leads the DF-GeoTech group, which explores fluid dynamics and geophysical applications. Key contributions include numerical models for coastal evolution, bathymetric inversion techniques (e.g., UBathy), and studies on sediment transport mechanisms under wave and tidal influences. His work integrates field data and numerical simulations to address coastal resilience, climate adaptation, and anthropogenic impacts. Collaborations span institutions like Utrecht University and the Catalan Institute of Water Research. He has authored over 200 publications, focusing on coastal processes, sediment dynamics, and geophysical fluid modeling.
Jan Graffelman is a Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the Facultat d'Informàtica de Barcelona and the Departament d'Estadística i Investigació Operativa. He leads the COSDA-UPC research group (COmpositional and Spatial Data Analysis) and coordinates the Doctoral Program in Statistics and Operations Research. His expertise spans compositional data analysis, multivariate analysis, applied statistics, and statistical genetics. Research focuses include genetic equilibrium testing (Hardy-Weinberg law), biplot visualization techniques, and applications in genomics and ecology. Notable contributions include methodologies for analyzing genetic markers, compositional data in precision medicine, and multidimensional scaling. Graffelman has collaborated with institutions like Barcelona Supercomputing Center and co-authored numerous high-impact publications in journals such as Heredity , Journal of Computational and Graphical Statistics , and Ecosphere . He has supervised multiple PhD students, including Iván Galván Femenía and Jordi Morales. His work integrates statistical theory with practical applications in genetics, ecology, and agriculture. Key projects include compositional methodology for family relationship inference and RNA-seq data analysis. Graffelman's academic network spans institutions globally, and he actively contributes to research projects funded by the Spanish State Research Agency and European grants. His lab develops tools for statistical analysis, including the HardyWeinberg and ToolsForCoDA R packages.
Jose Maria Oscar Prieto Gonzalez is a Permanent Labor Professor at the University of Santiago de Compostela , affiliated with the Faculty of Medicine and Dentistry and the Department of Psychiatry, Radiology, Public Health, Nursing and Medicine . He has dedicated his career to clinical research in Neurosciences and Clinical Neurosciences , with a focus on multiple sclerosis , neuroimaging , and psychiatric disorders . Education: PhD in Medicine from University of Santiago de Compostela (1988) Key research areas: Neurology, Psychiatry, Health Economics, Medical Imaging His recent work combines explainable machine learning with MRI to predict multiple sclerosis progression and explores plasma biomarkers in mood disorders. He leads real-world studies like CLADRIGAL and TERICARE evaluating disease-modifying therapies in Galicia. Current affiliations include the Neurosciences and Clinical Neurosciences research groups. His publications demonstrate interdisciplinary expertise spanning neurodegenerative diseases, health economics, and computational medicine.
José Javier Ramasco Sukia is a Research Professor at the Spanish National Research Council (CSIC), affiliated with the Institute for Cross-Disciplinary Physics and Complex Systems (IFISC) in Palma de Mallorca, Spain. He holds a PhD in Physics (2002) from Universidad de Cantabria and has held postdoctoral positions at the University of Oporto and Emory University. His research focuses on complexity science, particularly complex networks and urban transport systems, with applications to epidemic modeling, social dynamics, and air traffic analysis. Current affiliation: CSIC-IFISC Key projects: BigData4ATM, TREE, EUNOIA, GLEaMviz Research Interests include: Complex Networks (structure, dynamics, clustering) Transport Systems (air traffic, urban mobility) Epidemic Spread Modeling Data-Driven Urban Planning Social Network Analysis Scientific Awards Ramon y Cajal Fellowship (2011-2016) Teaching involves graduate courses in Computational Social Sciences and Data Analysis at the Master's Degree in Physics of Complex Systems. He has over 100 peer-reviewed publications and 50 conference presentations.
Roberta Zambrini is a Research Professor at the Institute for Cross-Disciplinary Physics and Complex Systems (IFISC), a joint institute of the Spanish National Research Council (CSIC) and the University of the Balearic Islands (UIB). She obtained her PhD in Physics from UIB in 2003, following a degree from the University of Milan. Her research focuses on quantum complex systems , including quantum networks, quantum synchronization, open quantum systems, and quantum machine learning. She teaches master's courses in Physics of Complex Systems and advises multiple PhD and Master's students. Her research spans quantum computing, quantum optics, and machine learning, with recent work emphasizing quantum reservoir computing , dissipative quantum systems, and quantum neural networks. Publications show a consistent focus on leveraging quantum phenomena for computational advantages and exploring non-equilibrium dynamics in quantum systems. Awards and Honors: Ramon y Cajal Fellowship Maria de Maeztu Unit of Excellence Award (2018–2022) Grants and Projects: She leads multiple projects, including QuaResC (quantum machine learning), QuProCS (quantum probes for complex systems), and initiatives funded by AEI, MINECO, and the EU. She also coordinates gender equity activities at IFISC. Editorial and Service: Serves as Divisional Associate Editor for Physical Review Letters and on boards for Proceedings A and Journal of Physics Communications . She is also a 'Gestora' at the Spanish Research Agency (AEI).
Rubén Lluc Comas Forgas is a Full Professor at the University of the Balearic Islands (UIB) within the Department of Applied Pedagogy and Educational Psychology . He holds a European PhD in Science Education (2009) and has served as a visiting researcher at institutions including the University of East Anglia (UK), Liverpool John Moores University (UK), and Stockholm University (Sweden). His research focuses on academic integrity , research integrity , and educational technology , with significant contributions to understanding plagiarism, predatory journals, and AI's impact on scholarly communication. Research Leadership : Principal Investigator for EU-funded projects like CHARLIE (Bias in Big Data) and AI-UpskillED, alongside national initiatives on academic integrity. Key Publications : 15+ peer-reviewed articles (2023–2025) addressing AI-generated content, predatory publishing, and plagiarism trends. International Collaboration : Co-led studies with researchers from Spain, Portugal, Mexico, and Greece, analyzing academic misconduct across educational contexts. Teaching Portfolio : Coordinates courses on scientific documentation, systematic reviews, and academic integrity for Pedagogy, Social Education, and Sport Sciences master's programs.
Dr. Antonio Buades Capó is a Professor in Applied Mathematics at the University of the Balearic Islands (UIB), specializing in digital image processing and computer vision. He actively contributes to the Mathematical Image Processing and Analysis research group. PhD in Mathematics (2006) from UIB Research focuses on image/video restoration , stereo vision , and medical imaging Coordinator of national project TIN2011-27539 His 2016 publications demonstrate expertise in variational models for pansharpening, directional filtering techniques, and optical flow-based video processing. Key subfields include 3D reconstruction, texture decomposition, and visual perception algorithms. Scientific Recognition Recipient of prestigious Longuet-Higgins Prize (2015) Currently accepting PhD candidates in 3D and video processing, with tutoring available by appointment at the Anselm Turmeda building.
Antoni Jaume-i-Capó is a Professor at the Department of Mathematical Sciences and Computer Science (DMI) at the University of the Balearic Islands (UIB) since 2005. He directs the Artificial Intelligence Applications Laboratory (LAIA@UIB) and participates in the Computer Graphics, Vision, and Artificial Intelligence Unit (UGiVIA) under the Health Sciences Research Institute (IUNICS). His educational innovation work is associated with the Educational Research and Innovation Institute (IRIE). Current affiliations: University of the Balearic Islands (UIB) Research leadership: LAIA@UIB, UGiVIA, IUNICS Research Interests: His work focuses on Artificial Intelligence , particularly explainable AI (XAI) systems, Computer Vision , Vision-Based Interfaces , Human-Based Computing , Intelligent Systems for Motor Rehabilitation , and Medical Image Processing . He combines these areas to develop technologies for healthcare diagnostics, rehabilitation, and educational innovation. Recent Article Trends: His publications address sickle cell disease diagnosis through machine learning, XAI fidelity metrics , medical imaging techniques, and vision-based rehabilitation systems. Common themes include human-AI collaboration , medical diagnostics , and educational gamification . Scientific Awards Premio al mejor trabajo JENUI 2010 (Best Paper Award at JENUI 2010) Grants & Projects EXPLAINME (PID2023-149079OB-I00, 2024-2028) People4sicklemia II (OCDS-CUD2017/05, 2017-2018) EXPLAINING (PID2019-104829RA-I00, 2020-2024) European projects: HUMODAN, NEUBIAS, LUDI, EUGAIN Supervision Advised students: Ines Abdennaji, Grethel Coello Said, Natasa Petrovic, et al. Labs & Collaborations LAIA@UIB (Artificial Intelligence Applications Lab) Collaborations: Computer Vision Center (UAB), University of Florida, Rutgers University, Wrexham Glyndwr University
Gabriel Jaume Martín is a faculty member at the University of the Balearic Islands (UIB), with academic affiliations in both Computer Science and Mathematical Sciences. He serves as a Tutor in the Department of Computer Engineering and Economics, teaching subjects like Discrete Mathematics and Optimization across multiple degree programs, including Bachelor's in Computer Engineering, Economics, and Tourism. His research focuses on topological models for fuzzy information processing within the Modelos Topológicos para el Tratamiento de la Información Borrosa (MOTIBO) R&D group. His research interests include applications of topology in computational systems, fuzzy logic, and optimization algorithms. These themes align with his teaching responsibilities and collaborative work in the MOTIBO group.
Dr. Miguel Mascaró Portells is a Full Professor at the University of the Balearic Islands, affiliated with the Department of Mathematics and Computer Science. He is a member of the LTIM (Multimedia Information Technologies) research group and the UGIVIA (Graphics, Computer Vision, and Artificial Intelligence) consolidated R&D group. His academic work spans teaching, research, and technological innovation in computer science fields. Research Interests: Object-oriented programming, web languages and technologies, application servers, service-oriented architecture (SOA), multimedia content storage and presentation, language processors and APIs, mobile device programming, audiovisual geolocation systems, cloud computing and Big Data applications, home automation, and neural vision systems. Teaching: Courses include Advanced Algorithms, Programming, Final Year Projects for Computer Engineering, and Data Visualization for Economics and Business Massive Data Analysis. R&D Participation: Active involvement in R&D groups focused on multimedia technologies, computer vision, and artificial intelligence.
José Alejandro Mesejo Chiong is a Visiting Professor at the School of Mathematical Sciences and Computer Science, Department of Computer Science and Artificial Intelligence, at the University of the Balearic Islands (UIB). He contributes to undergraduate and dual-degree programs in Mathematics, Telematics Engineering, and Computer Engineering, as well as the Master's Degree in Intelligent Systems. Teaching Areas: Programming, Advanced Programming, Algorithms and Data Structures, Theory of Computation, and Human-Computer Interaction. Programs: Bachelor's in Mathematics, Bachelor's in Telematics Engineering, Bachelor's in Computer Engineering (both Mallorca and Ibiza campuses), Dual Degrees combining Mathematics with Computer/Telematics Engineering, and the Master's in Intelligent Systems. His work aligns with foundational and applied aspects of computer science, particularly in artificial intelligence and computational theory. He engages with students across multiple campuses and interdisciplinary programs, emphasizing structured programming and algorithmic design.
Dr. Miquel Miró Nicolau is an Assistant Professor at the University of the Balearic Islands (UIB) within the School of Mathematical Sciences and Computer Science, Department of Computer Science and Artificial Intelligence. He holds a Degree in Computer Engineering (2018), a Master in Intelligent Systems (2020), and a PhD in Information and Communication Technologies (2024) from UIB. His research focuses on interpretability and confidence in medical image analysis using advanced XAI techniques , conducted within the UGIVIA research group and the Artificial Intelligence Applications Laboratory (LAIA) at UIB. Since 2020, he has taught university courses in programming, artificial intelligence, computer vision, machine learning, and algorithms , covering both undergraduate and master’s programs such as the Degree in Computer Engineering, Degree in Mathematics, and Master’s in Big Data Analytics. Research Groups : UGIVIA (Consolidated R&D Group), LAIA@UIB (R&D Lab), SCOPIA (Consolidated R&D Group) Contact : Office 179, Anselm Turmeda building. Tutoring schedule requires prior appointment.
Andrés Merino Suances is a Professor at the Department of Applied Chemistry and Physics within the College of Biological and Environmental Sciences at the University of León, Spain. His research focuses on atmospheric physics, climate modeling, and meteorological remote sensing, particularly hailstorm prediction and numerical weather simulation. He is affiliated with the GFA FÍSICA DE LA ATMÓSFERA research group. PhD in Atmospheric Physics (University of León, 2013) with a thesis on hailstorm analysis in the Iberian Peninsula. Key research themes include satellite precipitation validation, climate classification systems, and extreme weather events over complex terrain. Recent publications highlight his work on hailstorm detection using GPM sensors, WRF model evaluations for snowfall and precipitation, and advancements in climate models for global warming characterization. Collaborates on international projects like JEM-EUSO, focusing on space-based cosmic ray observations and atmospheric monitoring.
Rubén Ferrero Guillén is an Assistant Professor at the University of León in the Department of Mechanical Engineering , affiliated with the College of Industrial, Informatics and Aerospace Engineering . He is actively involved in the SINFAB - Intelligent Systems for Manufacturing research group, focusing on optimization algorithms, localization systems, and smart manufacturing technologies.
