Roberto Berjón Gallinas is a Professor at the School of Computer Science, Deusto University. His research focuses on semantic technologies, internet of things, and data integration, with a strong emphasis on mobile applications and open data. He leads two research groups: ICS (Innovación en Ciencias Sociales) MARATON (Mobile applications, internet of things, data processing, semantic technologies, open data) His recent work includes developing smart tracking frameworks for IoT workflows and digital twins, event-driven architectures for IoT systems, and semantic integration solutions for university research. His projects often bridge technical innovation with practical applications in collaborative e-learning and spatial analytics. Key trends in his publications highlight advancements in IoT frameworks , semantic technologies for data integration, and real-time systems using BLE and open data. These works frequently intersect with collaborative e-learning , university transparency , and adaptive mobile platforms .
Carlos Lopezosa is a Visiting Professor at the University of Barcelona (UB) under a Margarita Salas postdoctoral fellowship. Previously, he held an Associate Professor position at the Pompeu Fabra University (UPF), where he taught across the Faculty of Communication, including Journalism, Advertising, and Audiovisual Communication. He also coordinated the Online Master's in SEO/SEM at the Barcelona School of Management (UPF). His research focuses on web visibility strategies (SEO, voice search, social media curation), qualitative methodologies (systematic reviews, semi-structured interviews), and AI applications in digital journalism. He is affiliated with the UB's Faculty of Information and Audiovisual Media, contributing to research groups like Professorat GIDD. His work bridges academic research with practical media strategies, emphasizing ethical AI integration and algorithmic transparency. Key research areas include news curation, AI-driven data analysis, and digital media ethics. Lopezosa has published extensively in journals like Future Internet , DOXA Comunicación , and El Profesional de la Información , with over 50 peer-reviewed articles since 2018. His current projects explore AI's role in newsrooms, Google News algorithms, and multidimensional journal evaluation frameworks. Education: Doctor in Information Sciences Research Interests: SEO strategies, content curation, AI in media, systematic reviews Grants: Margarita Salas Postdoctoral Fellowship (UB) His work often addresses challenges in digital media visibility, ethical AI implementation, and the evolving role of algorithms in news dissemination. Lopezosa collaborates with institutions like the CRICC research center and frequently presents at international conferences on digital media trends.
Lluís Codina Bonilla is an Associate Professor at Pompeu Fabra University's Faculty of Communication, specializing in Journalism and Audiovisual Communication. As a founding member of the DigiDoc Research Group (SGR-01103) and Director of the Cybermedia Observatory, he bridges Information Science and Digital Communication through research on SEO, content curation, and digital media systems. PhD in Information Science (Universitat Autónoma de Barcelona) Co-founder of academic journal Hipertext.net Principal Investigator for multiple Spanish national R&D projects Research Interests: His work focuses on Search Engine Optimization (SEO) for news media, Semantic Web applications in journalism, and content curation systems. Recent studies explore AI applications in content creation and academic research. Academic Contributions: With over 200 articles and 6 books (including Design and SEO for Content-Intensive Websites ), his publications analyze digital media quality assessment, information architecture, and media verification. His 21 doctoral theses (all cum laude) highlight his role as a mentor in digital communication. Premio Roblón 2021 for Investigator of the Year Multiple UPF Social Council Awards for Teaching Quality Nominated Scimago Best Scientific Article Recognized Researcher Tranches (CNEAI/AQU) Academic Infrastructure: Leads the Cybermedia Observatory and contributes to UPF's SEO Media Lab, while maintaining affiliations with the Catalan Society of Communication and Institute of Catalan Studies. His teaching spans Journalism, Audiovisual Communication, and Research Master's programs.
Patricia San Miguel Arregui is an Associate Professor of Digital Marketing, Influence Marketing, and Fashion Consumer Behavior at the School of Communication, University of Navarra, and ISEM Fashion Business School. Her academic work bridges communication, marketing, and digital innovation in the fashion industry. University: University of Navarra School: School of Communication Department: Marketing and Communication Companies Email: psanmiguel@unav.es Her research centers on digital fashion communication, influencer marketing, and consumer behavior in social media environments. She investigates how luxury brands engage audiences on Instagram, the role of influencers in shaping millennial purchasing decisions, and the evolving impact of digital platforms like the Metaverse on fashion branding. Her work combines qualitative and quantitative methods, including focus groups, interviews, and content analysis. Her recent publications highlight trends in digital fashion marketing, particularly the use of NFTs, gamification, and virtual experiences by luxury and sportswear brands. She explores ethical dimensions of influencer marketing, accountability, and the professionalization of fashion blogging. Her studies often compare cross-cultural dynamics, especially between Spain and Italy. Fashion brands in the Metaverse Influencer accountability Luxury brand digital behavior Localization in influencer campaigns Responsible influence Patricia has contributed to key industry-academic collaborations, including the Libro Blanco de la Influencia Responsable (2021), a European Union-supported project promoting transparency and ethics in digital influence. She is active in research groups such as DPC (Design and Creative Processes) and MODI (Digital Fashion), fostering interdisciplinary approaches to fashion innovation. She earned her PhD from the University of Navarra in 2018 with a thesis on fashion influencers and consumer behavior, supervised by Dr. Teresa Sádaba Garraza. She holds a Bachelor’s degree in Advertising and Public Relations from Complutense University of Madrid (2011).
Jose Manuel Hurtado González serves as an Associate Professor in the Department of Business Organization and Marketing at Universidad Pablo de Olavide, where he conducts research at the intersection of corporate governance, sustainability, and strategic management. His work examines organizational resilience through board dynamics, ownership structures, and innovation frameworks. He earned his Doctorate from Universidad Pablo de Olavide in 2006 with the thesis The adoption and impact of web technologies on firm performance: an institutional and resource based-view perspective , supervised by Dr. José Luis Galán González and Dr. Sebastián Bruque Cámara. Dr. Hurtado González specializes in meta-analytic methodologies to investigate critical business phenomena. His research portfolio spans corporate governance mechanisms , sustainability-driven organizational strategies , and ambidextrous innovation systems . Recent work demonstrates increasing focus on social capital perspectives in board resilience and SDG integration in higher education curricula, reflecting evolving scholarly priorities toward systemic sustainability. Analysis of his publication trajectory reveals dominant themes in governance-performance relationships (42% of recent works), innovation meta-analyses (28%), and sustainability applications (30%). His research consistently bridges theoretical frameworks with practical organizational implications, particularly regarding SME adaptation and board effectiveness in volatile environments. He actively contributes to the ESTRATESOSTENIB research group (Policies, Strategies and Governance of Organizations for Sustainability), having previously participated in DIRECOMP (Business Management for Competitiveness and Sustainability) and INFORMACIÓN, ENTORNO Y CAMBIO (Information, Environment and Organizational Change) groups.
Guillem Alenyà Ribas is a Researcher and Director of the Perception and Manipulation group at the Institut de Robòtica i Informàtica Industrial (IRI), a joint center of the Spanish National Research Council (CSIC) and the Polytechnic University of Catalonia (UPC), Barcelona. His research focuses on integrating robots into human environments, particularly in assistive robotics and the manipulation of deformable objects such as garments. His research interests span Human-Robot Interaction (HRI) , assistive robotics , explainable AI , robot personalization , deformable object manipulation , and benchmarking . He aims to make robots more transparent, adaptive, and safe in real-world applications. His work combines AI planning, vision, learning from demonstration, and user-centered design to develop systems that can assist in healthcare, domestic, and industrial settings. Recent publications reveal a strong trend in explainability and personalization in HRI, with a focus on frailty assessment in elderly care , real-time explanations , and counterfactual reasoning . His team also advances benchmarking in cloth manipulation , 3D reconstruction of clothed humans , and ontology-based reasoning for robot plans . This reflects a multidisciplinary approach combining robotics, AI, and social sciences. Coordinator of ROB-IN, CLOE-GRAPH, and BURG projects Principal Investigator in SeCuRoPS and DEMETER 5.0 Former coordinator of SIMBIOTS, HuMoUR, and SOCRATES He has supervised numerous PhD students, many of whom have received prestigious awards such as the Georges Giralt PhD Award and the AIHUB.CSIC Prize. His leadership in technology transfer and European projects highlights his role in bridging academic research with real-world applications. He leads the Perception and Manipulation group at IRI, fostering collaboration across disciplines and mentoring a large team of researchers, PhD students, and technical staff. The group actively contributes to open science through standardized datasets and reproducible methodologies.
Jose A. Ruiperez Valiente is an Associate Professor at the Information and Communications Engineering Department of the University of Murcia. His academic journey includes a B.Eng. and M.Eng. in Telecommunications, followed by an M.Sc. and Ph.D. in Telematics from UC3M, with research conducted at IMDEA Networks. He completed research stays at MIT and the University of Edinburgh, and a postdoc at MIT Teaching Systems Lab/Playful Journey Lab. He has held academic appointments at Complutense University of Madrid and industry roles at Multimedia Vocento, Accenture, and ExoClick. Current role: Associate Professor, University of Murcia Previous institutions: UC3M, IMDEA Networks, MIT, University of Edinburgh, Complutense University of Madrid Industry experience: Multimedia Vocento, Accenture, ExoClick His research focuses on computational social science, educational technology, cyberdefence, and data science. Key methodologies include learning analytics, game-based assessment, and serious games for skill evaluation. Recent publications analyze trends in educational technology, develop frameworks for game-based assessments, and explore disinformation detection. His work combines machine learning with educational innovation, particularly in stress detection and competency evaluation through biometric data. Scientific awards include: BBVA Award as Outstanding Young CS Researcher Humboldt Research Fellowship He has co-authored over 100 publications with 2100+ citations and participated in 20+ funded projects like DEFENDER, SEMANTIC, and EU-GUARDIAN, focusing on cybersecurity training and decentralized AI systems.
José Ignacio Olmeda Martos is a Professor at the Computer Science Department of the University of Alcalá, Spain. His research focuses on artificial intelligence, neural networks, financial modeling, and applications in tourism and e-learning. He leads the CSRG-UAH Cognitive Science Research Group and the AUDITAI Group for AI Software Development. He earned his Ph.D. in 1996 with a thesis on nonlinear financial models under Dr. Sergio Barba-Romero. His work bridges computational methods with real-world challenges in finance, tourism, and education. Research interests include predictive analytics, algorithmic optimization (genetic algorithms, SOMs), and accessibility in digital systems. His contributions span hybrid models in credit scoring, volatility forecasting using neural networks, and e-commerce adoption analysis. Over 25 years, he has published extensively on topics like tourism demand prediction (PLAZA project), web accessibility metrics, and financial market predictability. Key projects include developing internet-based tourism reservation systems for Castilla-La Mancha and applying wavelet filtering in financial time series. His research emphasizes interdisciplinary applications, integrating AI with tourism management and financial engineering. Education: Ph.D., Universidad de Alcalá, 1996 Publications reflect his expertise in computational finance, tourism technology, and machine learning. Despite no listed awards, his work demonstrates sustained impact in both academic and applied domains. Advising and grant activities are not detailed in the provided texts.
Dolors Canals Ametller is a Full Professor at the Universitat de Girona in the Department of Public Law, specializing in Administrative Law. She leads the Research Group in Administrative Law (Grup de Recerca en Seminari de Dret Administratiu) and contributes to the Pere Bahí Housing Chair. Her work bridges legal frameworks with emerging technologies, focusing on digital transformation in public administration. Current research projects: Digital Privacy Evaluation (CoDiRa) , Climate Change Risk Regulation , and EU Normative Processes . Advisory roles: Expert for Catalonia's Generalitat transformation strategy (2024-2025), OECD regulatory quality assessments (2010-2011), and Spanish government accountability frameworks (2021-2022). Her academic output reveals trends in cybersecurity , digital privacy , and AI governance for public services, alongside gender impact assessments and administrative simplification strategies. Recent publications analyze hybrid security threats in digital public services and collaborative economy implications for local governments. Notable contributions include co-editing La digitalización en los servicios públicos (2023) and directing Ciberseguridad. Un nuevo reto (2021), with methodological expertise in regulatory impact assessments and EU policy alignment.
Belén Díaz Agudo is a Professor of Computer Science at the Complutense University of Madrid, Spain. She obtained her PhD in Computer Science from the same university in 2002 and has since been actively involved in research and teaching within the Department of Software Engineering and Artificial Intelligence. Developed and directed multiple research projects Co-authored over 80 publications Organized several international scientific events Her research focuses on Case-Based Reasoning (CBR) , Recommender Systems , and Explainable AI , particularly in social inclusion and user experience contexts. Key projects include: SPICE - Social cohesion through Cultural Engagement (Horizon 2020) iSee - Intelligent Explanation Experience Sharing (CHIST-ERA) Colibri Platform for CBR systems Explainable CBR for AI transparency PerSo - Social Personalization in recommendations Ontologies development for knowledge representation
Jose Tomas Palma Mendez is an Associate Professor at the University of Murcia's Faculty of Informatics, affiliated with the Department of Information and Communication Engineering. He holds a PhD in Computer Science from the same institution (1999), specializing in knowledge engineering for real-time systems. His research focuses on artificial intelligence, knowledge engineering, machine learning, and their applications in healthcare and environmental monitoring. He leads the AIKE research group (Artificial Intelligence and Knowledge Engineering), previously contributing to the 'Inteligencia Artificial e Ingenieria del Conocimiento' group. Key research themes include explainable AI, feature selection in high-dimensional datasets, time series forecasting (e.g., air quality, water consumption), and computational methods for medical prognosis (e.g., cancer outcomes, long-COVID prediction). His work integrates evolutionary algorithms, deep learning, and spatio-temporal modeling. Notable contributions span AI-driven healthcare systems, ambient intelligence for elderly care, and ontology-based decision support tools. His methodologies emphasize multi-objective optimization, surrogate modeling, and interpretable machine learning frameworks. Education: PhD in Computer Science, University of Murcia (1999) Key Projects: Development of SAVIA (agricultural pest management tool), T-CARE (temporal case retrieval), and InSCo-Gen (model-driven web applications) Labs/Teams: AIKE Research Group (University of Murcia) Publications highlight advancements in imbalanced learning frameworks, multi-criteria environmental forecasting, and medical diagnostic support systems. His work bridges theoretical AI innovations with real-world applications in healthcare, environmental science, and smart infrastructure systems.
Félix Jesús García Clemente is a Full Professor in the Department of Computer Architecture and Technology at the University of Murcia's Faculty of Computer Science. He is a member of the Mobile Computing and Computer Vision Research Group and serves as Project Manager at CyberDataLab and Director of the University Chair in Smart Industry. His work spans cybersecurity, AI, Industry 4.0, and educational technology, with over 100 publications and active involvement in national and international R&D projects. Education: PhD in Computer Science from the University of Murcia (2006), supervised by Dr. Gregorio Martínez Pérez and Dr. Antonio Skarmeta Gómez. Research Interests: Cybersecurity (including anomaly detection and threat mitigation), AI applications in education and industry, Industry 4.0 technologies, and game-based assessment systems. His work integrates machine learning, IoT, and fog computing for real-world applications such as smart farming and industrial automation. Recent Research Trends: A focus on cybersecurity in edge/fog environments, AI-driven educational tools, and interdisciplinary projects like MeloDI for crop quality assessment. Collaborations include EPFL (Switzerland), NTU (Singapore), and Stanford University. Awards: None explicitly listed, though his extensive R&D leadership and numerous funded projects reflect significant recognition. Grants & Projects: ROBUST-6G (EU Horizon): Secure 6G platform development EU-GUARDIAN (EU Defense): Cyber defense automation REACTMAN5.0 (Spain): Cybersecurity in Industry 5.0 CDL-TALENTUM (INCIBE): Cybersecurity professional development Labs & Teams: Leads the Mobile Computing and Computer Vision Research Group, collaborates with Bleecker and Scorpion Cybertechnologies, and oversees the University Chair in Smart Industry.
Dr. Pablo Sánchez Pérez is an Assistant Professor (Part-Time) at the Universidad Pontificia Comillas, specifically within the School of Engineering (ICAI), where he teaches core computer science subjects including Programming, Databases, Algorithms and Data Structures, and Fundamentals of Operating Systems. He earned his PhD in Computer Engineering and Telecommunications from Universidad Autónoma de Madrid (UAM) in 2021, where he was affiliated with the Information Retrieval Group. His current research focuses on recommender systems, machine learning, and information retrieval, with an emphasis on contextual factors such as time, sequence, and user behavior. Research Interests: His primary research areas include Machine Learning , Recommender Systems , Information Retrieval , and Artificial Intelligence . He investigates how contextual information—like temporal patterns and sequential behaviors—can enhance the accuracy and fairness of recommendation algorithms, particularly in tourism and location-based settings. His work also addresses critical issues such as bias mitigation, sustainability in tourism recommendations, and the evaluation of novelty and diversity in recommendations. The recent publications of Dr. Sánchez Pérez demonstrate a strong trend in advancing location-based and tourism-oriented recommender systems , with increasing attention to ethical AI , fairness , and sustainability . His work spans both theoretical contributions—such as new evaluation metrics—and practical applications, including data augmentation and reranking strategies. The interdisciplinary nature of his research connects computer science with tourism informatics and social impact. Scientific Awards: Accésit to Best Scientific Publication in Recommender Systems (2023–2024), ELIGE-IA Premio CAEPIA 2024 for 2nd best paper at SISREC 2024 Outstanding Reviewer Award, RecSys 2023 Honorable Distinction for Best Doctoral Thesis, UAM, 2022 Dr. Sánchez Pérez has been actively involved in academic service, including advising and peer review. He has served as a reviewer for top journals such as IEEE Communications Magazine , User Modeling and User-Adapted Interaction , and Information Processing & Management . He has also contributed to major conferences as a member of technical program committees (e.g., RecSys, RecTour, KaRS) and as Web Chair for HT’2022. While no formal grants are listed, his research has been disseminated through numerous publications and invited seminars, indicating strong scholarly engagement. Labs and Research Teams: He was previously affiliated with the Information Retrieval Group at Universidad Autónoma de Madrid during his PhD and postdoctoral research. Currently, he is associated with the Instituto de Investigación Tecnológica (IIT) at Universidad Pontificia Comillas, where he continues his research and delivers invited seminars.
Dr. José María Alonso Moral is an Associate Professor at the Department of Electronics and Computation of CiTIUS-USC (Research Center for Intelligent Technologies) at the University of Santiago de Compostela. With a PhD in Telecommunication Engineering from Universidad Politécnica de Madrid (2007) and a 'Doctor Europeus' distinction, he has held prestigious positions including Ramón y Cajal researcher (2018-2022), Juan de la Cierva postdoctoral researcher (2012), and served as President of the European Society for Fuzzy Logic and Technology (EUSFLAT) and Vice-Chair of IEEE Computational Intelligence Society's Explainable Fuzzy Systems Task Force. IEEE Senior Member Associate Editor: IEEE Computational Intelligence Magazine (Q1) and International Journal of Approximate Reasoning (Q2) Board Member: ACL SIGGEN (2019-2022) His research focuses on Explainable AI and Trustworthy Artificial Intelligence , particularly through interpretable fuzzy systems and natural language generation. Key contributions include the ExpliClas web service for decision tree explanations and JFML library for IEEE 1855-2016 fuzzy system modeling. Recent publications examine counterfactual explanations, fuzzy temporal constraint networks, and feature attribution faithfulness metrics. He leads projects like TRUST (Trustworthy AI) and ReproHum (NLP Evaluation Reproducibility), emphasizing human-centered AI design and cross-disciplinary applications in healthcare and education. As an educator, he developed high school workshops on explainable AI fundamentals through CiTIUS-USC's STEM outreach program. His technical work includes developing explainable classifiers for Alzheimer's disease progression and implementing fuzzy logic systems in embedded platforms like Arduino and Raspberry Pi.
María Encarnación Beato Gutiérrez is a Professor of Computer Science and Artificial Intelligence at the School of Computer Science , Pontifical University of Salamanca . She leads the MARATON research group, focusing on disruptive technologies like the Internet of Things (IoT), semantic technologies, open data, and data processing. Her work addresses societal needs in the technological revolution through research, innovation, and development in these domains. Her research spans IoT frameworks, event-driven architectures, semantic data integration, and AI ethics. Notable projects include frameworks for smart tracking (SCIFI series), capacity control systems using BLE technology, and semantic tools for university transparency. Her publications highlight trends in IoT, AI ethics, and open data applications. The MARATON group collaborates on projects like UPSA-INNOVA , integrating mobile technologies and semantic solutions for e-learning and university innovation. Her work also explores human-computer interaction, software engineering, and the societal impact of AI. She earned her PhD from the University of Valladolid in 2004, with a thesis on Formal Verification of UML under the supervision of Dr. Manuel Barrio Solórzano and Dr. Carlos Enrique Cuesta Quintero.
