Joan Navarro Martín is a Professor at the La Salle School of Engineering (Universitat Ramon Llull, Barcelona). He is a member of the Research Group on Smart Society , focusing on interdisciplinary domains such as Internet of Things (IoT) , Smart Grids , Cloud and Edge Computing , and Virtual Learning Environments . Key Affiliations: La Salle School of Engineering, Department of Engineering Research Group on Smart Society (Principal Investigator in multiple projects) European Commission-funded initiatives (e.g., EXCEL4HOUSING4.0, WeB-Nimbus) Research interests span wireless communication systems, antenna design for IoT, data-driven urban infrastructure optimization, educational technology for undergraduate tutoring, and smart society frameworks. His work bridges engineering , data science , and societal impact , with a focus on sustainability and industry-academia collaboration. Recent publications highlight innovations in antenna boosters for IoT efficiency, quantum trust models , and data analytics for urban mobility. Projects like PLANET4 and ADAPTIOT emphasize Industry 4.0 and adaptive architectures . Collaborations include partnerships with institutions across Europe (Albania, Western Balkans) and co-authorships with researchers like Jordi Pijoan Vidal , Xavier Solé Beteta , and Anna Carreras Coch .
Dr. David Buján Carballal is a Lecturer and Researcher at the University of Deusto in Spain. He holds a BSc, MSc, and PhD in Computer Sciences from the University of Deusto, with a dissertation focusing on semantic technologies in Grid computing. His research spans Blockchain, Cloud/Grid computing, Linked Data, and Semantic Technologies. He teaches Web Engineering, Operating Systems, and Distributed Systems, and works at the Mobile Communications Research Group (MORElab) within DeustoTech Institute and Telefónica Deusto Chair. Education: BSc in Computing - Faculty of Engineering, University of Deusto MSc in e-Business - University of Deusto PhD in Computer Sciences - University of Deusto (2016) Research focuses on integrating semantic technologies with distributed systems, including blockchain applications and cybersecurity in connected industries. He actively participates in national projects (ALASTRIA network) and international conferences like HAIS, SOCO, and IoT. His work includes developing context-aware tourism platforms and remote laboratory systems (WebLab-Deployer). Advising & Grants: Involved in national/international research projects and private contracts. Served on program committees for conferences such as CAEPIA and JENUI. Extensive collaboration with institutions like the University of Manchester, UCM, and the University of Westminster. Labs/Teams: Lead researcher at MORElab, part of DeustoTech’s Mobile Communications group.
Pathinarage Ishari Uthpala is a Researcher at Universitat Pompeu Fabra (UPF), collaborating with the TIDE Research Group on Interactive and Distributed Technologies for Education. She holds a Ph.D. in Information and Communication Technologies (2020, UPF) with a thesis focusing on learning analytics and collaborative learning orchestration. She also completed M.Sc. (Intelligent Interactive Systems, 2016, UPF) and B.Sc. (First Class, 2013, University of Colombo School of Computing) degrees. Her research emphasizes applying learning analytics to enhance collaborative learning environments, bridging classroom and distance education contexts. She has conducted interdisciplinary research and teaching, with experiences at Radboud University, University of Duisburg-Essen, and EPFL. Key contributions include qualitative methods in learning analytics and script design for collaborative learning. Guest lecture: 'Qualitative Methods in Learning Analytics' at MIT EdTech Studio (2020) Research talk: 'Collaborative Learning Scripts and Learning Analytics' at SLIIT HCI Research Group (2020) Awards: Recognized for academic excellence with a Gold Medal for undergraduate research (2013) and scholarships to attend GHC and womENcourage (2017).
Antonio de la Oliva is a Professor at the University Carlos III de Madrid, affiliated with the School of Engineering. His primary research focuses on advanced networking technologies, including 5G/6G, Software-Defined Networking (SDN), Network Functions Virtualization (NFV), and mobile edge computing. He leads and contributes to major EU-funded projects such as 5G-CORAL, 5G-Transformer, and 5G-Crosshaul, which aim to integrate and optimize transport networks for industry verticals. He has supervised PhD students like Maria Isabel Sanchez Bueno (awarded UC3M's Special PhD Award) and Sergio Gonzalez Diaz. His work spans experimental evaluations of SDN-based service provisioning, network slicing, and deterministic communications for Industry 4.0. He actively engages in standardization efforts (e.g., IEEE 802.21, IETF) and collaborates with industry partners like Ericsson, Nokia, and Telecom Italia. His research also explores edge robotics, digital twins, and AI integration in networked systems. Key projects include developing the 5G-Crosshaul architecture for integrated fronthaul/backhaul networks and the SLICES-Madrid multi-domain TSN framework. He emphasizes practical applications in healthcare, emergency response, and industrial automation, leveraging edge-fog-cloud architectures.
Dr. Daniel Ferrés is a Researcher at the Large Scale Text Understanding Systems Lab (LaSTuS) and member of the TALN research group at Universitat Pompeu Fabra's Department of Information and Communication Technologies (DTIC). He is involved in the ConMuTeS Project, focusing on advancing text simplification and accessibility technologies. His work bridges Natural Language Processing (NLP), Information Retrieval (IR), and Machine Learning, with applications in scientific text mining and geographical information systems. Ferrés holds a PhD and M.A.S. in Artificial Intelligence from Universitat Politècnica de Catalunya (UPC) and a BSc in Computer Science & Engineering from Universitat de Girona. His research interests include text simplification, information retrieval, and georeferencing, with a focus on multilingual systems and accessibility solutions. He has contributed to projects like PDFdigest (a PDF-to-XML converter) and systems for accessible email clients. His publications emphasize lexical simplification datasets (e.g., ALEXSIS for Spanish), cross-lingual NLP architectures, and geospatial text analysis techniques. Ferrés has also participated in initiatives like MediaEval Placing Task and GeoCLEF challenges, showcasing expertise in integrating geographical knowledge with NLP systems. His work trends reflect a strong emphasis on improving accessibility through NLP, with recent efforts on multilingual lexical simplification benchmarks and shared tasks. Earlier contributions include tools for scientific text mining, morphological generation in Spanish, and adaptive lexical simplification systems for Ibero-Romance languages. Ferrés collaborates closely with academic and industry partners, advancing both theoretical and applied aspects of computational linguistics.
Gemma Piella Fenoy is a Full Professor at the Universitat Pompeu Fabra (UPF), Department of Engineering. She holds a Telecommunication Engineering degree from the Universitat Politècnica de Catalunya (UPC) and a PhD in Applied Sciences from the Universiteit van Amsterdam. Her career includes postdoctoral research at Télécom Paris (Marie Curie Fellowship) and a Ramón y Cajal Researcher position. She co-founded the SIMBIOsys research group and the Barcelona Center of New Medical Technologies (BCN-MedTech), leading its research in Medical Image Analysis and Machine Learning for Personalized Medicine. Her work bridges theoretical foundations with clinical applications, recognized by awards like the ICREA Academia (2021) and DonaTIC (2022). She is a member of ELLIS and Sigma Xi, and served as co-chair of the Avicenna Alliance's AI Task Force (2023-2024). Research focuses on medical imaging, machine learning in healthcare, fetal MRI analysis, and AI-driven diagnostics. Notable projects include the LiverColor platform for liver graft assessment and BabyFM for 3D fetal facial modeling. Her work emphasizes interdisciplinary collaboration between engineering and clinical medicine, addressing challenges in prenatal care, neurological disorders, and personalized medicine. She actively contributes to global health initiatives and AI ethics in clinical applications. Education PhD in Applied Sciences, Universiteit van Amsterdam (The Netherlands) Telecommunication Engineering Degree, Universitat Politècnica de Catalunya (Spain) Her scientific contributions span over 150 peer-reviewed articles in top journals and conferences, with a focus on medical image analysis, AI in healthcare, and clinical decision support systems. She leads BCN-MedTech, a consolidated research group recognized by the Catalan government, and collaborates with international institutions on AI-driven medical solutions.
Ishari Amarasinghe is a Lecturer at Pompeu Fabra University (UPF), Barcelona, with expertise in educational technology and learning analytics. She holds a Ph.D. in Information and Communication Technologies (with Summa Cum Laude and International Mention) and a Master’s in Intelligent Interactive Systems. Her research focuses on data-driven approaches in hybrid learning environments, teacher orchestration, and generative AI ethics in education. She has contributed to EU-funded projects and serves on editorial boards and conference program committees (e.g., Computers & Education, ISLS, ECTEL). Education: Ph.D. in Information and Communication Technologies, UPF (2020) M.Sc. in Intelligent Interactive Systems, UPF (2015) Research Interests: Data science techniques for uncovering learning patterns, predictive algorithms for educational trends, and interactive dashboards for actionable insights. Her work emphasizes human-centered AI solutions and responsible technology use. Recent studies include exploring teacher orchestration load in collaborative learning and generative AI governance in universities. She has published widely in journals like Computers & Education and BJET, and conferences such as ISLS and IEEE TLT. Her 2024 work focuses on hybrid learning orchestration and AI ethics. She has also organized workshops on topics like ‘Actionable Learning Analytics’ and ‘Orchestrating Hybrid Learning Scenarios’. Awards: PhD with Excellent, Summa Cum Laude, and International Mention (UPF, 2020) Favorable Tenure-elegible Lecturer Evaluation (AQU Catalunya, 2023) Teaching: Received high evaluations for her Introduction to ICT course (9.3/10 in 2022–2023).
Feliu Maseras is a Professor and Group Leader at the Institute for Chemical Research of Catalonia (ICIQ-CERCA) , where he leads a research group focused on computational chemistry and its application to catalytic processes. His work bridges theoretical modeling and experimental collaboration, particularly in homogeneous catalysis, mechanochemistry, and photocatalysis. Education: PhD in Chemistry, Autonomous University of Barcelona (1991) Postdoctoral Training: Okazaki, Japan (Prof. Morokuma); Montpellier, France (Prof. Eisenstein) Academic Position: Associate Professor, UAB (1998–2004); Group Leader, ICIQ (2004–present) His research interests center on computational homogeneous catalysis , with a strong emphasis on DFT and QM/MM methods . He investigates cross-coupling , C–H activation , photocatalysis , mechanochemistry , and organic electrosynthesis . A key methodological focus is microkinetic modeling to connect computed energies with experimental kinetics, and the discovery of hidden descriptors using statistical analysis of large DFT datasets. The recent publications highlight a strong trend in mechanochemistry , photocatalysis , and transition metal catalysis , with increasing integration of artificial intelligence and data-driven methods . Many studies involve close collaboration with experimental groups, validating computational predictions. Scientific Awards: Rafael Usón Medal (2024) Miguel Catalán-Paul Sabatier Award (2024) Bruker Prize in Physical Chemistry (2011) Chemical Society Lecture Award, RSC (2008) Prof. Maseras has supervised 24 doctoral theses and hosted numerous postdoctoral researchers. His group is currently supported by grants such as the MECHAPHOTOCOMP project (Ministry of Science) and the Beatriu de Pinós fellowship. He serves as Associate Editor of ACS Catalysis and on the Editorial Advisory Board of Chemical Society Reviews . The research group includes PhD students, postdocs, technicians, and administrative staff, fostering a collaborative and interdisciplinary environment. Laboratory and Teams: The Maseras Group at ICIQ operates within a state-of-the-art research infrastructure, utilizing high-performance computing and collaborating with experimental teams across Europe. The group actively develops computational tools and models to advance understanding in sustainable synthesis and catalysis.
Roberto Javier López Sastre is an Associate Professor of Signal Theory and Communications at the University of Alcalá. He holds a Ph.D. from the same institution (2010), focusing on 'Visual vocabularies for category-level object recognition' under Dr. Saturnino Maldonado Bascón's supervision. His research spans machine learning, computer vision, robotics, and astrophysics. Key areas include Bayesian neural networks for stellar dating, semantic navigation in robotics, and AI-driven medical assistive technologies. Affiliation: Department of Signal Theory and Communications, University of Alcalá Research Group: GRAM (Multisensorial Recognition and Analysis Group) His work interfaces computational methods with real-world applications, such as assistive robotics for neurodevelopmental disorder patients and deep learning models for astrophysical parameter estimation. Recent contributions include semantic segmentation-driven navigation systems and Bayesian approaches to black hole solutions. Publications emphasize interdisciplinary applications of AI, including live video processing, continual learning frameworks, and physics-informed neural networks. Ongoing research explores the intersection of robotics, healthcare, and astrophysics through collaborative projects. López Sastre's GRAM group focuses on multisensory data analysis for recognition and navigation challenges. His technical expertise spans signal processing, probabilistic modeling, and embedded AI systems.
Hector Martinez Perez-Cejuela is a Lecturer in the Faculty of Chemistry at the University of Valencia , affiliated with the CLECEM research group specializing in Liquid Chromatography, Capillary Electrophoresis, and Mass Spectrometry. His research focuses on advanced sample preparation techniques using metal-organic frameworks (MOFs) and other nanomaterials for environmental, pharmaceutical, and food safety applications. Education: PhD in Analytical Chemistry (2023) from the University of Valencia Research Interests: Hector's work centers on Miniaturized extraction methods (e.g., solid-phase microextraction) Green chemistry approaches for sustainable sample preparation MOF-based materials for selective pollutant removal Hybrid sorbents in biofluid and environmental analysis Portable analytical devices using 3D-printing Chemiluminescence and fluorescence detection systems Publication Trends: Recent studies highlight his expertise in environmental contaminant analysis , MOF functionalization , and green sample preparation with applications in drug detection, pesticide monitoring, and water safety. Articles span journals in analytical chemistry, environmental science, and material engineering. Research Group: Collaborates with the CLECEM group on developing cutting-edge analytical methodologies.
Santiago Mengual Andres is an Associate Professor in the Department of Comparative Education at the Faculty of Philosophy and Educational Sciences, Universitat de València. His work is centered on digital competence, educational technology, and inclusive pedagogy in higher education. He is a member of two prominent research groups: GRECIA (Comparative Education Group) and POLISOC (Educational Policies, Interculturality and Society). Research Interests: His primary research areas include educational technology, digital competence, virtual reality in education, MOOCs, artificial intelligence in learning, teacher training, and inclusive education. He investigates how digital tools transform teaching and learning, especially in higher education contexts, with a focus on equity, accessibility, and pedagogical innovation. Publication Trends: His recent publications (2021–2025) reflect a strong focus on AI in education, online learning effectiveness, virtual reality, and digital inclusion. Themes such as student perceptions, teacher training, and sustainable digital education recur across his work, demonstrating a commitment to evidence-based educational innovation. Scientific Awards: No scientific awards were mentioned in the provided text. Advising and Grants: While specific details on grants are not provided, Santiago has supervised doctoral research, including his own PhD under Dr. Rosabel Roig Vila and Dr. Josefa Eugenia Blasco Mira. He collaborates extensively in educational research projects, particularly in digital education and policy. No formal list of advisees is available. Labs and Research Groups: He is actively involved in the GRECIA Comparative Education Group and the POLISOC research group focused on educational policies, interculturality, and society. These groups support interdisciplinary research on educational innovation, inclusion, and digital transformation in Ibero-American contexts.
Maria Beatriz Lopez Ibanez is a Professor in the Department of Electrical, Electronic and Automation Engineering at the University of Girona, where she also belongs to the Institute of Computing and Applications. She leads the Artificial Intelligence applied to Medicine and Health laboratory within the eXiT Research Group in Control Engineering and Intelligent Systems. Her academic journey began with a Computer Science Engineering degree from the Universitat Autònoma de Barcelona (UAB) in 1986, followed by a PhD in Computer Science from the Universitat Politècnica de Catalunya (UPC) in 1993, with thesis work conducted at the Spanish National Research Council (CSIC). Her research focuses on Artificial Intelligence , particularly decision support systems using case-based reasoning, machine learning techniques such as data mining and knowledge discovery, and optimization methods for resource allocation including auctions and meta-heuristics. These methodologies are applied across diverse domains: health and medicine , business processes , energy , sustainability , and mobility . Her work bridges theoretical innovation with real-world impact, evidenced by her co-founding of the company Newronia in 2011, driven by former PhD students from UdG. The trends in her publications reflect a strong emphasis on intelligent systems for healthcare, integrating genetic and family history data into clinical workflows. Her articles span interdisciplinary areas combining computer science, medical informatics, and operational research, demonstrating consistent contributions to both foundational AI and applied solutions in health and industrial domains. Scientific Awards: Best Article Award by the International Medical Informatics Association (IMIA), 2014 Second Prize in the Vall d'Hebron Research Institute Competition on 'Health Innovation' for the NoaH project, 2015 ITEA 2017 Award for the Success of SMEs in the MOSHCA Project Accredited Advisor Label in 'Technology, Health and Life Sciences' by the Generalitat de Catalunya, 2018 Dr. López has been actively involved in research leadership and mentorship. She has participated in 9 international projects, 25 national research calls, over 16 research support initiatives, and 20 industry-funded projects, showcasing her ability to secure and manage diverse funding sources. While specific advisees are not listed, she has supervised master's and final degree projects and co-founded a spin-off based on doctoral research, indicating a strong record of student guidance and innovation transfer. She also contributes to the academic community through service on scientific committees of prestigious international conferences and journals. She leads the Artificial Intelligence applied to Medicine and Health laboratory, part of the eXiT research group, which focuses on developing intelligent systems for real-world challenges, particularly in healthcare and sustainable systems. This lab fosters interdisciplinary collaboration and innovation, linking academic research with industrial and clinical applications.
Elvira G. Rincón Flores is a Professor at the School of Engineering and Sciences, Tecnológico de Monterrey, where she has been a faculty member since 1993. She currently holds the position of Impact Measurement Research Scientist and leads two major research projects: Adaptive Learning based on Predictive Analytics (Learning Analytics with AI) and Educational Spaces in the Tec 21 model. Her academic background includes a PhD in Education in the Knowledge Society from the University of Salamanca (Cum Laude), a Master's in Finance, and another in Education with a specialization in Mathematics, both from Tecnológico de Monterrey. PhD in Education in the Knowledge Society, University of Salamanca (Cum Laude) Master in Finance, Tecnológico de Monterrey Master in Education with Specialty in Mathematics, Tecnológico de Monterrey Her research focuses on innovative educational strategies, particularly gamification, adaptive learning, learning analytics, and the integration of artificial intelligence in education. She has extensively explored how gamification based on challenges can enhance motivation and performance in STEM education, especially in mathematics and engineering. Her work also investigates student well-being, mentoring programs, and the impact of immersive technologies like virtual reality on active learning. Her recent publications (2023–2024) demonstrate a strong trend toward AI-driven adaptive learning systems, predictive modeling of student performance, and holistic student development through gamification and mentoring. These works span conferences and journals, often focusing on practical implementations in higher education, particularly within engineering and mathematics curricula. She has no listed scientific awards in the provided text. Elvira has supervised or collaborated on numerous research projects and publications, often in interdisciplinary teams. While specific advisees are not listed, her role as a professor and research leader suggests significant mentorship activity. She has contributed to the development of educational platforms like Gamit! and has been involved in institutional innovation such as the Tec 21 educational model. Her work is supported through internal research initiatives at Tecnológico de Monterrey. She is actively involved in research labs and teams focused on educational innovation, learning analytics, and gamification. Her collaborations include researchers from the Department of Engineering and Sciences and external partners. The 'Gamit!' team and Learning Analytics with AI project represent key research groups she leads or contributes to.
Arturo Azcorra is a Full Professor at the University Carlos III of Madrid in the Telematics Engineering Department and serves as Director of the IMDEA Networks Institute . His career spans academic leadership and research in network architectures, communication protocols, and wireless technologies. Full Professor at Universidad Carlos III de Madrid (since 1998) Director of IMDEA Networks Institute (since 2006) Senior Member of IEEE Communications Society Research Interests: His work focuses on network architectures, communication protocols, wireless and mobile networks, peer-to-peer systems, and energy-efficient networking. Current projects include 5G network slicing, microsleep techniques for WiFi, and collaborative file distribution systems. Publications Trends: Recent articles address 5G network optimization, energy-efficient protocols, ad traffic filtering systems, and multicast video delivery mechanisms. His research combines theoretical modeling with practical implementations in real-world network environments. Scientific Awards: IEEE Communications Society Senior Member President of the Association for Telematics Academic Leadership: He has held significant administrative roles including Deputy Vice-Provost and Department Director at UC3M. Currently supervises the NETCOM Research Group and collaborates with IMDEA Networks .
Ana Belen Lago Vilariño is a Researcher in the Department of Computing, Electronics and Communication Technologies at the Faculty of Engineering , University of Deusto. With over two decades of experience, her work focuses on context-aware systems , mobile interaction , NFC technology , and educational technology applications. Primary Affiliation: University of Deusto (Faculty of Engineering, Computing Department) Active Projects: STEAM education through robotics, AI for medical devices, quantum computing applications Historical Roles: Directed Unitec Classroom (2003-2007), coordinated Computer Science Engineering (2001-2004) Research Interests span multiple domains: Core: Context-aware mobile services, NFC-based interaction, human-computer interfaces Applications: Educational robotics, medical AI systems, smart city mobility Methodologies: User experience frameworks, lightweight infrastructure design, hybrid intelligence Scientific Contributions show: 2013-2024: 15+ publications on mobile context analysis, quantum behavior prediction, and STEAM education Key trends: Contextual personalization, educational robotics, medical AI integration Awards & Recognitions: X Premio UD-Banco Santander de Investigación (2015) Member of DEUSTEK research group (IT458-10) since 2010 Evaluator for academic excellence awards (2012) Collaborative Work includes European Commission-funded initiatives, Basque Government projects, and cross-institutional research with teams in Spain, Portugal, Italy, and Croatia.
