Dr. Gregorio López López is an Associate Professor at the School of Engineering (ICAI) of Universidad Pontificia Comillas and a member of the Institute for Research in Technology (IIT). His research focuses on Smart and Sustainable Grids, Intelligent Systems, and Bioengineering. He holds a PhD in Telecommunications Engineering from Universidad Carlos III de Madrid (2014), recognized with the Extraordinary PhD Dissertation Award and CISCO-COIT Prize. Education: PhD in Telecommunications Engineering (UC3M, 2014), MSc and BSc in similar fields. His research interests include M2M communications optimization, IoT cybersecurity, and smart grid technologies. He has led over 17 national/EU projects including eFORT and InteGrid. His work spans 64 conference papers and 31 journal publications. Key awards: CISCO-COIT Prize (2015), Extraordinary PhD Award (2015), Deloitte Prize (2021), Lyntia Prize (2022). He advises 4 PhD students, teaches telecommunications subjects, and contributes to cybersecurity initiatives like the RAYUELA project. His lab focuses on integrating cybersecurity with smart grid systems and youth tech safety.
Cristina Tejedor Martínez is a Professor at the University of Alcalá , Department of Modern Philology . She serves as First Deputy Director of the Doctoral School and coordinates the Linguistic Analysis Research Group , focusing on lexicology, semantics, and translation terminology. Her research spans Anglicisms in Spanish , corpus pragmatics , applied linguistics , and technological tools in language education , with significant projects funded by the Spanish Ministry of Science and European Commission . She has directed studies on tourism language , medical terminology , and dictionary training in pedagogy. Key projects include PRAGMACOR (2022-2026) (corpus pragmatics in telephone interpretation) and Organic.Lingua (2011-2014) (multilingual web portal for agricultural education). She advises PhD students like Soraya García Esteban and collaborates with researchers across Europe. Her publications (15+ peer-reviewed articles) analyze semantic borrowing , machine translation , color metaphors , and neologisms in specialized domains , reflecting her interdisciplinary approach at the intersection of language, technology, and culture.
Pablo José Fernández Galdo is a faculty member at the University of A Coruña, affiliated with the University College of Industrial Design and the Department of Civil Engineering. His expertise lies in Engineering Projects, with a strong focus on industrial design, product development, and additive manufacturing. He is an active member of the research group 'Observatorio para el diseño e innovación en movilidad, medios de transporte y automoción', contributing to innovation in transportation and mobility systems. His research interests span Industrial Design , Product Development , Additive Manufacturing , Automotive Design , Urban Furniture , and Smart Mobility . He emphasizes design methodology, sustainability, and user-centered innovation, particularly in educational and real-world applications. His work integrates design with engineering principles to solve contemporary mobility challenges. The recent articles and project concepts reflect a strong trend toward future mobility , including autonomous vehicles, electric transportation, shared urban mobility, and habitat vehicles for sports tourism. Many projects are linked to industry collaborations, especially with SEAT/Cupra, indicating applied research with commercial relevance. There is a recurring focus on design for experience , adaptability , and innovation in public and personal spaces . He has supervised numerous final-year and master's theses, mentoring students in advanced design projects. His collaborative work includes publications in engineering education and service-learning practices, highlighting his commitment to pedagogical innovation. His research has been supported through various R&D contracts with entities such as Fundación PRODINTEC, TELEVES S.A., CTAG, and LOREFAR S.L., demonstrating strong industry engagement. He has contributed to books and journal articles, particularly in the domain of design education and applied engineering. He is involved in designing experimental projects, models, and prototypes, often in collaboration with students and other researchers. His work environment fosters innovation through hands-on workshops and real-world design challenges, especially in the context of sustainable and intelligent mobility solutions.
Silvia Nuere Menendez-Pidal is a Professor at the Department of Mechanical, Chemical and Industrial Design within the Technical School of Engineering in Industrial Design at Universidad Politécnica de Madrid . Her academic work bridges art, design, and engineering through humanistic approaches to education. Research interests include: Project-based learning methodologies Art-science integration in curricula Visual literacy frameworks Smart campus evaluation systems Digital divide in academic communities She has directed over 30 educational innovation projects and founded the ArDIn: Art, Design and Engineering journal in 2011. Her publications analyze 3D printing applications in medical education, digital pedagogies, and student-led academic associations like Etsidi-Design that mobilize interdisciplinary collaboration.
Francisco Javier Oliver Bernal is a Lecturer at the University of Deusto in Bilbao, Spain, within the Faculty of Education and Sport and the Department of Physical Activity and Sports Sciences. He teaches across Computer Engineering, Physical Activity and Sports Sciences, and Primary Education bachelor's programs, as well as the Master's in Secondary Education. He earned his Doctor of Medicine and Surgery from the University of the Basque Country. His research spans Human-Computer Interaction, Educational Technology, and Science Education, with a strong emphasis on accessibility for visually impaired users. He has developed tools for e-learning, digital resource centers, and innovative teaching methodologies in computer science and natural sciences, aiming to enhance educational experiences through technology. His scholarly output, spanning from the 1990s to 2023, demonstrates a consistent focus on technology-enhanced learning, evolving from early work in 3D interfaces and computer graphics to recent applications in health, music, and interdisciplinary educational contexts. Key trends include the integration of accessibility features, the development of domain-specific educational tools (e.g., for biology and astronomy), and responses to contemporary challenges like the COVID-19 pandemic. He has supervised multiple theses on digital accessibility and cooperative systems, though student names were not listed. Details on research grants were not provided in the available text. As a member of the eVida research group (officially recognized by the Basque Government), he contributes to projects advancing accessible educational technologies, including the ACCE project for audiovisual accessibility and READIS digital resource centers for visually impaired users.
Mariano Rico is an Associate Professor at the Polytechnic University of Madrid (UPM), affiliated with the OEG research group in the Artificial Intelligence Department. Previously, he served as a Senior Researcher at OEG (2016-2020) and held teaching roles at the Autonomous University of Madrid (UAM). His primary affiliations include the UPM's Faculty of Computer Science and the UAM's Computer Engineering Department. Education: PhD in Computer Science (UAM, 2009), MSc in Physics (UAM, 1992), and postgraduate studies in Telecommunications Engineering. He conducted research stays at DERI (Ireland) and Freie Universität Berlin, focusing on Semantic Web and Linked Data. Research interests center on Linked Open Data, Natural Language Processing (NLP), and Semantic Web technologies, with contributions to DBpedia's Spanish branch and projects like Wf4Ever and LIDER. He actively collaborates with institutions in Leipzig, Bielefeld, and Berlin on Linked Data and linguistic applications. Teaching: Coordinates courses in NLP, Linguistic Engineering, and Big Data Visualization at UPM and online programs. Has instructed over 300 UAM faculty through teacher training programs on LaTeX, bibliographic management, and digital scholarly practices. Projects: Lead roles in European and national initiatives including SlideWiki, UpGrid, and Neptune. Current work focuses on NLP applications like text summarization (esT5s) and terminology tools (TermInteract). Labs/Teams: Core member of the OEG group, contributing to semantic web infrastructure and NLP tool development. Maintains international collaborations through AKSW and CITEC groups.
Laura Rodríguez García is a full Professor at the University of Leon in the Department of Biodiversity and Environmental Management , affiliated with the Faculty of Biological and Environmental Sciences . She specializes in Physical Anthropology and is a member of the Q-GEO Environmental Geology, Quaternary and Geodiversity research group. Her research focuses on: Hominin skeletal morphology (femora, tibiae, fibulae, clavicles) Biomechanical analysis of Middle Pleistocene human remains Evolutionary implications of bone volume and skeletal weight Dental microwear and isotope analysis for dietary reconstruction Neanderthal symbolic behavior and social complexity 3D geometric morphometrics in skeletal studies Recent publications highlight trends in: Neanderthal postcranial anatomy Human evolution in Iberia Technical innovations in skeletal maturity assessment Interdisciplinary collaborations across Europe Integration of archaeological and paleontological contexts Application of computational methods to bone analysis She collaborates with institutions like: University of Burgos Universidad Isabel I Complutense University of Madrid National Research Center on Human Evolution Melka Kunture (Ethiopia) expeditions Oldowan horizon studies
Pere Millán Marco is an Associate Professor in the Department of Computer Engineering and Mathematics (DEIM) at Universitat Rovira i Virgili (URV), Tarragona, Spain. He serves as coordinator for Non-permanent lecturers. His research focuses on computer communications, mobile/sensor networks, and IoT, with emphasis on quality prediction and performance optimization in wireless environments. Education: M.Sc. in Computer Engineering (Polytechnic University of Catalonia, 1992); PhD in Computer Engineering (URV, 2018). Research Interests : Specializes in mobile and sensor network architectures, underwater acoustic networks, real-time communication protocols, and low-cost hardware solutions for educational and environmental applications. His work integrates time series analysis, predictive modeling, and social behavior patterns to enhance network efficiency. Publications Trends : Recent work emphasizes IoT applications in environmental monitoring (e.g., deep aquifer pumping systems), optimization of underwater acoustic networks, and low-cost multicomputer systems for teaching. Consistently explores predictive techniques for network topology and quality-of-service improvements in ad hoc and community networks. Awards & Recognition : Holds a granted US patent related to location-based information systems. Advising & Infrastructure : Involved in DEIM's teaching laboratory development. Active in organizing international conferences like UCAmI and VISIGRAPP. Member of the CloudLab research group, advancing cloud and distributed computing solutions.
Josep Curto is a full Professor at Universitat Oberta de Catalunya and Adjunct Professor at IE University . He serves as Academic Director of the Master in Business Analytics (MIBA) , Facilitator at the Center for AI Safety , and founder of AthenaCore and Delfos Research . His career spans 25+ years in data science education across 15+ institutions.
Patricia Santos Rodriguez is a Tenure Track Professor in Human-Centered Learning Technologies and a Ramón y Cajal fellow at Pompeu Fabra University (UPF). She leads the TIDE research group and co-leads the TESI research unit, focusing on Technology-Enhanced Learning, Human-Computer Interaction, and Learning Design. Her work spans international projects across Europe and beyond, securing over €2.5M in grants (€300K for UPF) and managing high-profile projects like Learning Layers (€12M), TENCompetence (€13.5M), and CS-Track (€2.2M). Academic Roles: Coordinator of Data Structures and Algorithms 2, Interaction Engineering, and Learning Technologies courses. Administrative Roles: Head of Quality & Innovation Unit at UPF’s Engineering School. Research Contributions: Developed tools such as Questinsitu (BDigital Congress finalist), TenCompetence Toolkit (IMS Award), Empatheia (Design Thinking for primary schools), and Soele (SEL evaluation). Supervised 6 PhD theses (3 Summa Cum Laude) and ~50 engineering projects. Awards: Recognized for her PhD thesis and innovation in standards-based learning technologies. Grants & Leadership: Coordinated ‘Makers a les Aules’ (Barcelona City Council), managed D-TIPS (€225K), and led TROMPA (€3M). Active in 20+ countries, collaborating with 120+ researchers.
Lluís Vicent Safont is a Senior Lecturer and Director of the Postgraduate Program in Data Management at the UPF Barcelona School of Management. He has held prominent roles such as Rector of Universitat Oberta La Salle (2008–2012) and academic leadership positions at institutions like Universitat Ramon Llull and Universidad La Salle. His research focuses on data science, education technology, and innovative teaching methodologies, with over 70 publications and 50 projects as Principal Investigator. He specializes in curriculum design, educational assessment, and the integration of technology in higher education, including hybrid learning systems and adaptive learning tools. Education background includes a Doctorate in Engineering and Architecture, alongside master’s and technical engineering qualifications. His work emphasizes bridging education and technology, addressing challenges like early school leaving and digital education readiness. He has contributed to international conferences (IEEE, Erasmus+) and authored books on topics like fuzzy logic in assessment and multimedia in education. As a leader, he has directed postgraduate programs, research groups, and institutional initiatives, focusing on innovation, internationalization, and educational policy. His projects often involve collaboration across universities and institutions to enhance educational quality and accessibility. Recent work includes the H2O Learn project on hybrid education analytics and initiatives reinforcing engineering leadership in societal contexts.
Professor Joaquim de Ciurana Gay is a faculty member at the University of Girona in the Department of Mechanical and Industrial Construction Engineering , leading research in Manufacturing Process Engineering since 2009. He heads the Process, Product and Production Engineering Research Group (GREP) , with over 100 peer-reviewed articles and 12 book chapters focusing on biomedical device design, additive manufacturing, and machining optimization. Education: PhD in Industrial Engineering (UPC, 1997); Postdoctoral training at Rutgers University, Cranfield University, and Université du Québec à Trois-Rivières. Research Interests include additive manufacturing , machining process characterization , design methodologies , and industrial collaboration . His recent biomedical projects emphasize cell culture systems and medical device prototyping . Publications highlight trends in hybrid manufacturing , AI-driven process optimization , and sustainable biomedical design . Scientific Awards: Award for Scientific Collaboration with Companies (ASCAMM Centre Tecnològic, 2011) Teaching Innovation: Authored educational materials and led projects integrating industry partnerships into academic training. Labs & Teams: Director of GREP, fostering knowledge transfer through collaboration agreements with industrial partners.
Ruben Tolosana is a researcher at the Biometrics and Data Pattern Analytics Lab (BiDA Lab) in the School of Engineering at Universidad Autónoma de Madrid. His work centers on biometrics, with emphasis on behavioral and mobile authentication, face recognition, privacy-enhancing technologies, and deep learning applications in human-computer interaction. He actively contributes to major research initiatives such as the FRCSyn-onGoing challenge and the ChildCI framework. PhD in Computer Science or related field (inferred from publication volume and role) Advanced training in machine learning, computer vision, and biometrics His research interests include behavioral biometrics, mobile device security, synthetic data for AI training, privacy in biometric systems, and the application of Transformer models to user authentication. Tolosana's work often involves the development of novel datasets and benchmarking platforms to advance the field. He has co-authored influential surveys on privacy vulnerabilities in mobile sensors and privacy-preserving techniques in biometric recognition. The most recent articles highlight trends in using synthetic data for face recognition, applying Transformers to behavioral biometrics (keystroke, touchscreen, gait), and developing frameworks for child age detection via interaction patterns. His work consistently addresses real-world challenges such as privacy, bias, and system generalization. Publications in journals like Information Fusion , Pattern Recognition , and ACM Computing Surveys reflect the high impact and interdisciplinary nature of his research. Second FRCSyn-onGoing: Winning solutions and post-challenge analysis to improve face recognition with synthetic data (2025) ChildCI framework: Analysis of motor and cognitive development in children-computer interaction for age detection (2024) FRCSyn-onGoing: Benchmarking and comprehensive evaluation of real and synthetic data to improve face recognition systems (2024) SwipeFormer: Transformers for mobile touchscreen biometrics (2024) An Overview of Privacy-Enhancing Technologies in Biometric Recognition (2024) Ruben Tolosana collaborates extensively with researchers in the BiDA Lab, including Rubén Vera-Rodríguez, Aythami Morales, Julian Fierrez, and others. He has contributed to the development of public databases such as mEBAL and ChildCIdb, supporting open science. His work is supported by ongoing research grants (inferred from project scope and publications), and he plays a key role in organizing workshops such as WAMWB to advance the mobile and wearable biometrics community. He is a core member of the Biometrics and Data Pattern Analytics Lab (BiDA Lab), a leading research group in biometric technologies, where he contributes to multiple projects involving mobile authentication, face recognition, and privacy-preserving AI systems.
Maria Teresa Abad Soriano is affiliated with the Universitat Politècnica de Catalunya (UPC), specifically within the Faculty of Computer Science (FIB), Department of Computer Sciences. She is a researcher in the GPLN - Natural Language Processing Group and the TALP Research Center, contributing to both educational technologies and computational linguistics. Her work spans decades, showing sustained academic engagement. Her research interests focus on educational technology, higher education internationalization, computer-supported collaborative learning, distance learning systems, knowledge representation, and academic mentorship . These are reflected in her long-term involvement in projects related to e-learning platforms, tutoring systems, and institutional development in computing education. The analysis of her recent publications (2019–2024) reveals a strong trend towards the internationalization of higher education in computing, with detailed studies on mobility, academic policies, and institutional impact. Earlier works (1990s–2000s) center on algorithmic education, groupware modeling, and intelligent tutoring systems, showcasing a career that evolved from technical AI and educational software to broader educational policy and management. She has contributed to competitive R&D+i projects such as OPENMT and SKATeR, and has co-authored technical reports, conference papers, and indexed journal articles. Her collaborations include key figures like Nuria Castell, Juan Antonio Pastor, and Maria Felisa Verdejo. Scientific Awards: No scientific awards were mentioned in the provided text. She has supervised or contributed to the Doctoral Program in Business Administration and Management, and her technical and educational outputs suggest an advisory role in research, though specific students are not listed. She has participated in multiple competitive research projects funded under Spain’s National Research Plans, indicating success in grant acquisition. Her work with open datasets and technical documentation supports open science and institutional transparency. She is actively involved in research groups such as GPLN and TALP, which focus on natural language processing and language technologies, contributing to both theoretical and applied advancements in the field.
Pablo Ciáurriz Mañú is a Senior Researcher affiliated with the University of Navarra and the CEIT (Asociación Centro Tecnológico Ceit) . He earned his doctorate in 2014 with a thesis on "Haptically-coupled devices: Stability analysis and application to drive-by-wire systems." Education: PhD in Robotics/Control Systems from University of Navarra (2014) Research Interests: His work focuses on haptic technology, stability analysis in human-machine systems, and automotive control applications. Collaboration & Supervision: Supervised by Dr. Jorge Juan Gil Nobajas and Dr. Iñaki Díaz Garmendia Scientific Awards:
