Claudio Ulises Cortes Garcia is a Professor at the Department of Computer Science , Technical University of Catalonia, and leads the IDEAI-UPC (Intelligent Data Science and Artificial Intelligence Research Group) and KEMLG (Knowledge Engineering and Machine Learning Group). He is affiliated with the Barcelona Supercomputing Center (BSC-CNS) and the Barcelona School of Informatics (FIB). With a Doctor en Informática (PhD in Computer Science) and Ingeniero Industrial y de Sistemas (Industrial and Systems Engineering) degrees, his work spans Artificial Intelligence , Intelligent Agents , and Assistive Technology . His research integrates European Programs and Internet with applications in Second Life and Software . His recent publications focus on Post-COVID cognitive effects , AI ethics , and agent-based modeling for urban water management. He received the Doctor Honoris Causa from Universitat de Girona in 2024 and has collaborated on projects like DIGITAfrica and HUB D'INNOVACIÓ PEDIÀTRICA . His work bridges Neuroscience , Environmental Modeling , and Digital Humanities , with over 650 activities recorded in his academic career. ORCID : 0000-0003-0192-3096 WoS Researcher ID : B-7284-2009 Scopus Author ID : 7004065770
Dr. Anna Puig Puig is a Professor at the University of Barcelona, affiliated with the Faculty of Mathematics and Computer Science within the Department of Mathematics and Computer Science. Her research focuses on gamification in education, 3D point cloud processing, data visualization, and biomedical applications of computer science. Key research areas include: Gamification and serious games for education 3D point cloud segmentation and analysis Machine learning applications in geospatial and biomedical domains Interactive visualization systems Virtual reality for archaeological and educational purposes Notable projects include: INDOMAIN - Pedagogical Module in Intelligent Tutoring Systems HORIZON 2020 European Cancer Image Platform GRAPES - Machine Learning for Shape Processing CLiC Research Group in Language and Computing Digital Reconstruction of Neolithic Social Life
Javier Vazquez Salceda , Senior Lecturer at Universitat Politècnica de Catalunya (UPC), is affiliated with the School of Computer Science and the Department of Computer Science. His research spans intelligent agents, smart cities, and socio-technical systems. Key Projects: HUB D'INNOVACIÓ PEDIÀTRICA, XARXES R+D+I in health technologies, and AI-on-demand platforms. Collaborations: Active in IDEAI-UPC (Intelligent Data Science and AI Research Group) and KEMLG (Knowledge Engineering and Machine Learning Group). Research Focus: Agent-based modeling, normative systems, and distributed AI applications in healthcare and urban planning. He explores how multiagent systems can address socio-technical challenges through projects like wastewater management simulations and organ transplant coordination tools. Academic Engagement: Published extensively in journals like Artificial Intelligence and Law and IEEE Intelligent Systems , with a focus on middleware architectures, electronic institutions, and provenance systems. His work bridges theoretical AI with real-world implementations. Contact: Email jvazquez@lsi.upc.edu , ORCID 0000-0003-1732-9446 , Scopus ID 6602325102 .
Carlos Cglez-Morcillo is an Associate Professor at the Higher School of Computer Science, University of Castilla-La Mancha (Spain), with an active career in academia since 2002. He holds a European PhD in Computer Science (2007) and a degree in Computer Science (2002) with an Extraordinary End-of-Degree Award. Currently, he serves as Academic Director of the Vice-Rectorate of Digital University and Director of the G9 Shared Digital Campus, while also being a founding member of the AIR Research Group and Creative Director of the university spin-off Furious Koalas. PhD in Computer Science (2007) BSc in Computer Science (2002) Technical Engineer in Computer Systems (2000) Research interests include Artificial Intelligence, Computer Graphics, and their applications in rehabilitation technology and educational innovation. His work spans mixed reality systems for stroke recovery, gamification in learning environments, and 3D rendering optimization. He has led 9 research projects with over €550,000 in funding and contributed to over 30 technology transfer initiatives. Recent publications focus on VR/AR applications for neurological rehabilitation, e-commerce metaverse environments, and AI-driven educational tools. His 15 most recent articles reflect interdisciplinary work bridging computer science with healthcare and business innovation. Scientific recognition includes being the first Spaniard to obtain the Blender Foundation Certified Trainer (2009) and leading award-winning projects like ICEIS 2025 Best Student Paper. He actively participates in conferences and media outreach, demonstrating commitment to public engagement through platforms like Naukas and CMM Radio.
Jesus Maria Rodriguez Presedo is a Professor in the Department of Electronics and Computing at the University of Santiago de Compostela (USC), affiliated with the Faculty of Physics and the Center for Research in Intelligent Technologies (CITIUS). He leads the GSI Group (Intelligent Systems Group) and focuses on biomedical signal processing, particularly in Heart Rate Variability (HRV) analysis, neural networks, and telemedicine solutions. His work integrates machine learning, stochastic modeling, and clinical applications to improve cardiac monitoring and diagnostic tools. Dr. Rodriguez earned his PhD from USC in 1994 with a thesis on intelligent ischemia monitoring, advised by Dr. Senén Barro and Dr. Ramón Ruiz Merino. His research emphasizes HRV analysis, biosignal interpretation, and software development (e.g., the RHRV package). He has contributed to telemonitoring systems for patients with chronic conditions like sleep apnea and COPD, leveraging multiagent systems and ubiquitous computing. His recent work explores nonlinear dynamics in time series, stochastic embeddings via variational autoencoders, and adaptive neural networks for multichannel signal analysis. Applications span cardiac event detection, ECG segmentation, and abductive frameworks for medical diagnostics.
Antonio A. Sánchez Ruiz-Granados is an Associate Professor at the Complutense University of Madrid in the Department of Software Engineering and Artificial Intelligence, Faculty of Computer Science. He teaches courses on data structures, algorithms, human-computer interaction, video game programming, and artificial intelligence. Research Focus : AI in video games, knowledge representation, machine learning, user modeling, and case-based reasoning Key Projects : AI for game behavior, user modeling in games, decentralized peer review systems His recent publications span collaborative AI in games, VQA methods, diabetic retinopathy diagnosis, dynamic difficulty adjustment, and explainable CBR systems. Notable work includes flow induction in Tetris, Siamese network similarity analysis, and blockchain-based peer review ecosystems. While no explicit awards are listed, his work demonstrates leadership in game AI and open science initiatives. He has organized workshops and contributed to CBR research through proceedings editorship.
Professor Faraón Llorens Largo is a full-time academic at the University of Alicante's Higher Polytechnic School II (Department of Computer Science and Artificial Intelligence). With a PhD in Computer Engineering (2001) and a BSc in Computer Science (1993), he has held leadership roles including Vice-Rector for Technology and Educational Innovation (2005-2012) and Director of Santander-UA Chair (2015-2023). Specializes in AI explainability, gamification, and digital transformation of universities Leads the Smart Learning Research Group and coordinates 11 transfer projects Recipients of the Leonardo da Vinci Medal (2022) and AENUI Award (2013) Recent publications (2024-2025) focus on graph neural networks for spatio-temporal forecasting, generative AI adoption in Spanish engineering education, and multiagent systems for personalized learning. His work bridges theoretical AI advancements with practical applications in educational technology and institutional IT governance .
Francisco José Mora Lizán is a University Professor at the Department of Computer Science and Artificial Intelligence within the Higher Polytechnic School II of the University of Alicante. He has been a faculty member since 1995 and currently serves as the Director of the Department of Computer Science and Artificial Intelligence (since February 2025). He is also a researcher in the Industrial Computing and Artificial Intelligence Research Group at the University. His academic background includes a PhD in Computer Science from the University of Alicante (awarded January 26, 2021), a Technical Engineer in Computer Science Management from the University of Alicante (June 1, 1995), and a Computer Engineer degree from the University of Alicante (January 1, 1994). Dr. Mora Lizán's primary research interests focus on Artificial Intelligence , particularly in the areas of multi-agent systems, swarm robotics, and intelligent systems for buildings. He has made significant contributions to the development of multi-agent architectures for swarm robotics and intelligent building management systems. Additionally, he has dedicated substantial effort to educational innovation , specializing in project-based learning methodologies in software engineering and multimedia engineering education. His work in this area includes developing phase-based project methodologies, evaluating cross-cutting implementations in multimedia engineering curricula, and assessing software tools for project-based learning. His publication record demonstrates a consistent trajectory from foundational work in software engineering education to more recent applications of AI in intelligent environments and educational technology. Over the past two decades, his research has evolved from traditional software engineering topics toward more specialized applications of multi-agent systems and swarm intelligence, while maintaining a strong focus on educational innovation. Dr. Mora Lizán has directed or co-directed 26 undergraduate and master's theses in the last five years, reflecting his active engagement in student mentorship. His teaching portfolio is extensive, covering courses in Computer Engineering, Multimedia Engineering, and Biomedical Engineering, with particular emphasis on project management, external internships, and multimedia projects. He has participated in numerous public research projects, including European Commission-funded initiatives like "APPRENTISSAGE COLLABORATIF EUROPEEN POUR L'ACQUISITION DE COMPETENCES PAR DES ROBOTS" and "SENIORS IN NET," as well as Spanish Ministry of Economy and Enterprise projects on swarm intelligence and adaptive swarm systems. His departmental leadership roles have included serving as Secretary (2012-2016), Deputy Director (2016-2021), and Director of the Department of Computer Science and Artificial Intelligence (2021-present).
Juan Antonio Puchol García is a Professor at the University of Alicante within the College of Engineering 's Department of Computer Science and Artificial Intelligence . He has taught courses like Computer Graphics , Software Project Management , and Foundations of Informatics for thousands of students since 1994. His research focuses on 3D printing , virtual reality , and swarm robotics . Doctor of Computer Engineering (University of Alicante, 2001) Graduate in Computer Science (Polytechnic University of Valencia, 1991) Research trends include: 3D printing applications in architecture (2020 Remote Sensing publication) Swarm robotics system architecture (2011 Advances in Intelligent and Soft Computing) Project-Based Learning implementation in European Higher Education (2007-2017 educational publications) Geometric modeling techniques (1999 CEIG conference papers) Active in educational innovation projects since 2002 with funding from European Commission and Spanish Ministry of Economy. Currently coordinates Industrial Computing and Artificial Intelligence research group while managing European Academic Information Systems infrastructure.
Enric Plaza Cervera is a Research Professor at the Learning Systems Department of the Artificial Intelligence Research Institute (IIIA-CSIC) in Catalonia, Spain. His work focuses on foundational aspects of artificial intelligence, particularly in conceptual blending, case-based reasoning (CBR), and multiagent systems. He explores how cognitive principles like image schemas and conceptual blending can be applied to computational models of creativity, semantic understanding, and diagrammatic reasoning. His research also addresses ethical challenges in AI governance and value alignment through agent-based simulations and formal models. Key research areas include: Formalizing cognitive processes in AI for diagram interpretation and creativity Developing ethical frameworks for autonomous systems using AGV (Autonomy-Governance-Value) models Advancing CBR theory through amalgamation techniques for integrating multiple solutions Modeling embodied cognition in understanding abstract concepts through spatial metaphors Recent publications (2020-2024) emphasize interdisciplinary approaches combining cognitive science, formal logic, and multiagent systems to tackle challenges in AI transparency, value alignment, and creative problem-solving. No scientific awards are explicitly mentioned in the provided materials. His work contributes to both theoretical advancements and applied AI systems through the IIIA's research initiatives.
Ramon Sangüesa Sole is a Professor at Universitat Politècnica de Catalunya (UPC) within the School of Computer Science and Department of Computer Science . He is a member of the IDEAI-UPC (Intelligent Data Science and Artificial Intelligence Research Group) and KEMLG (Knowledge Engineering and Machine Learning Group). Fields of Interest : Artificial Intelligence, Machine Learning, Technoculture, Science Communication, Social Innovation Education : Doctor in Computer Science (UPC) His research focuses on integrating AI with social and environmental contexts, developing algorithmic transparency frameworks, and creating sociotechnical systems. Key projects include democratizing AI through citizen participation and applying machine learning to urban planning and educational innovation. His work emphasizes ethical considerations and interdisciplinary collaboration. Recent publications analyze topics like algorithmic transparency, urban AI applications, and student engagement technologies. Awards include the DISTINCIÓ JAUME VICENS VIVES for research excellence and the 8è Premi a la Qualitat en la Docència Universitària for educational innovation. Sangüesa leads projects in AI-driven design, environmental decision support systems, and personalized learning frameworks.
Jesús Tordesillas Torres is an Assistant Professor in the Department of Electronics, Automation, and Communications at the School of Engineering, Comillas Pontifical University. He joined the institution in June 2024, bringing extensive experience from postdoctoral research at MIT and ETH Zurich, and prior academic training from MIT and the Polytechnic University of Madrid. Education: PhD in Aeronautics and Astronautics, Massachusetts Institute of Technology (MIT), 2022 MS in Aeronautics and Astronautics, MIT, 2019 MS in Industrial Engineering, Polytechnic University of Madrid, 2019 BS in Industrial Engineering, Polytechnic University of Madrid, 2016 His research focuses on robotics, particularly autonomous navigation, trajectory planning, and optimization under uncertainty. He integrates deep learning and control theory to develop systems capable of safe, fast, and perception-aware navigation in dynamic and unknown environments. His work spans aerial and ground robots, multiagent systems, and challenging terrains, with strong emphasis on real-world deployment and robustness. The recent publications highlight a consistent trend in trajectory optimization, perception-aware planning, and multiagent coordination. His work bridges theoretical advances in optimization and learning with practical robotic applications, especially in safety-critical and communication-constrained scenarios. Scientific Awards: Best Paper Award, IEEE ICRA 2023 1st Place, Urban Circuit, DARPA Subterranean Challenge (2020) 2nd Place, Tunnel Circuit, DARPA Subterranean Challenge (2021) Finalist, Best Paper, IEEE IROS 2019 Jesús Tordesillas Torres has been actively involved in research grants and projects, including the ADS FERRARI WP-2 Project funded by Airbus Defence and Space (2025–2025). He mentors students and collaborates with leading institutions such as MIT, ETH Zurich, and the University of Pennsylvania. He also serves as a reviewer for top-tier journals including IEEE Transactions on Robotics , International Journal of Robotics Research , and IEEE Robotics and Automation Letters , as well as major conferences like ICRA and IROS. He leads and participates in research teams focused on autonomous systems, with affiliations to the Institute for Research in Technology (IIT) at Comillas. His invited talks at ETH Robotics Summer School and University of Pennsylvania reflect his growing influence in the robotics community.
María Belén Pérez Lancho is a Full Professor in the Department of Computer Science and Automation at the University of Salamanca, Spain. With over 25 years of academic experience since completing her PhD in 1995, she maintains active affiliations with multiple research groups including BISITE (Bioinformatics, Intelligent Computing Systems and Educational Technology), CaUSAL (Academic Culture, Heritage and Social Memory), and Process Supervision and Control. Dr. Pérez Lancho earned her doctoral degree from the University of Salamanca with her thesis "Integrated process control system: a practical approach" supervised by Dr. Eladio Sanz García. Her academic foundation in systems engineering and automation has evolved into diverse research applications across multiple domains. Her research program demonstrates remarkable breadth while maintaining technical coherence. She has pioneered context-aware multiagent systems for home care environments, developing architectures like HoCa and HoCCAC that monitor patients and optimize task scheduling. In environmental science, she created hybrid intelligent systems for forest fire prediction using Case-Based Reasoning with topology-preserving algorithms. More recently, she has addressed cybersecurity challenges in educational technology through two-factor authentication systems. Her work consistently bridges theoretical computer science with practical implementations in real-world settings. Analysis of her publication trajectory reveals a consistent focus on adaptive intelligent systems that respond to environmental changes. Her earliest work established foundations in systems engineering, which evolved into sophisticated multi-agent applications across healthcare, environmental monitoring, and security domains. The most recent publications continue this trajectory while addressing contemporary challenges in educational technology security. Dr. Pérez Lancho maintains extensive collaborative relationships, particularly with Juan M. Corchado at the University of Salamanca, as evidenced by numerous co-authored publications. Her research has been implemented in actual home care environments and environmental monitoring systems, demonstrating the practical impact of her work. Her research infrastructure includes: BISITE group focusing on intelligent computing systems and educational technology CaUSAL group examining academic culture and heritage Process Supervision and Control group applying her foundational work to industrial contexts These affiliations support her interdisciplinary approach to solving complex problems through computational methods.
