Domingo Savio Rodríguez Baena is a Professor at Pablo de Olavide University, affiliated with the Department of Computer Languages and Systems. His research focuses on data mining, bioinformatics, and computational biology, with a particular emphasis on biclustering algorithms, gene co-expression networks, and high-performance computing applications. PhD in Engineering, Data Science, and Bioinformatics (2012) from Pablo de Olavide University His work spans interdisciplinary domains, including recommender systems , livestock behavior analysis , and biological data interpretation . Recent articles highlight his contributions to multi-GPU optimization , ensemble learning , and historical database construction . Key collaborations include the DATAi Intelligent Data Analysis and DASE Data Analytics Science & Engineering research groups. He has developed tools like the CyEnGNet–App for gene network visualization and BIGO for gene enrichment analysis. Contact: dsrodbae@upo.es
Diego Sevilla Ruiz is an Associate Professor at the University of Murcia's Faculty of Informatics, Department of Computer Engineering and Technology, where he leads initiatives in Software Engineering research. He completed his PhD in 2008 on distributed component models (CORBA-LC). His research focuses on database technologies, particularly schema evolution in NoSQL and relational databases, model-driven engineering approaches, and unified metamodeling. Recent work develops Skiql (a schema query language), Athena (schema definition language), and methodologies for referential integrity in graph databases. His publications advance database abstraction techniques, schema migration frameworks, and automated tools for database management and modernization.
Oscar Romero Moral is a Professor at the Polytechnic University of Catalonia (UPC), affiliated with the Department of Services and Information Systems Engineering at the Barcelona School of Informatics (FIB). He leads research in the inSSIDE, inLab FIB, and DTIM groups, focusing on data management, data science, and big data technologies. His work emphasizes knowledge graphs, data governance, and machine learning integration with data systems. Affiliations: UPC, inSSIDE, inLab FIB, DTIM Group Research Interests: Data Management, Data Engineering, Big Data, Knowledge Graphs, Data Governance, Machine Learning Integration He has authored over 276 academic contributions, including peer-reviewed articles on federated healthcare data systems, GPU-accelerated workflows, and graph-driven data integration. His recent work addresses challenges in heterogeneous computing, automated data governance, and scalable data architectures. Romero has served on the program committees of major conferences like VLDB, ICDE, and EDBT, and led competitive research projects in data systems and analytics. He collaborates extensively with industry partners and academic institutions, driving innovations in distributed data management and edge computing.
Jesus Joaquin Garcia Molina is a Professor in the Department of Computer Science and Systems Engineering at the Universidad de Murcia's Faculty of Informatics. He holds a Doctorate from the same university with a thesis on the conformational and dynamic study of flexible macromolecules (1988). His research focuses on database systems, model-driven engineering, NoSQL technologies, and software modernization. He is actively involved in projects related to schema evolution, user interface generation from wireframes, and AI applications in healthcare and education. Key research areas include database schema management, cross-platform data migration, and the development of unified query languages like Skiql. He has contributed to frameworks such as Guizmo for automated UI generation and tools for reverse-engineering legacy systems. His work bridges theoretical computer science with practical applications in software development and education technology. Recent publications emphasize NoSQL schema evolution, AI-driven radiology support systems, and the integration of interactive educational content in social robots. His interdisciplinary approach spans computer science, medicine, and pedagogy, with notable contributions to both academic and applied domains.
Sergi Nadal Francesch is a Professor at the Universitat Politècnica de Catalunya (UPC) , affiliated with the College of Informatics of Barcelona (FIB) and the Department of Service and Information Systems Engineering . He leads research within the inSSIDE and DTIM groups, focusing on database technologies, data governance, and knowledge graph applications. Research areas: Database Systems, Data Engineering, Knowledge Graphs, Data Governance, and Automated Data Lifecycle Management Email: sergi.nadal@upc.edu His recent work explores automated data pipelines , scalable data discovery , and AI-driven medical diagnostics . He contributes to knowledge graph lifecycle development and graph-driven federated data systems , with projects funded by Horizon Europe and Spanish national programs. Scientific Awards : UPC Award for Quality in University Teaching (2021), Best Doctoral Thesis in SISTEDES (2021), EDBT 2025 Best Demo Paper
Alberto Abello Gamazo is a full professor at the Facultat d'Informàtica de Barcelona (FIB), Universitat Politècnica de Catalunya (UPC), where he is affiliated with the Department of Services and Information Systems Engineering. He coordinates the Erasmus Mundus Doctoral Program in Information Technologies for Business Intelligence and leads research within the inSSIDE and inLab FIB groups. His work bridges computer science and healthcare, focusing on data-intensive systems and their real-world applications. Research Interests: His expertise spans databases, big data, NoSQL, OLAP, data storage, and data science. He investigates automated data pipelines, federated data management, feature selection, and AI-driven analytics. His work increasingly integrates healthcare applications, particularly in automated diagnosis using AI and digital microscopy for diseases such as malaria and schistosomiasis. Publication Trends: His recent articles (2023–2025) emphasize automated data science pipelines (e.g., Hyppo), fairness and interpretability in machine learning, efficient data management in document stores, and the application of AI to medical diagnostics. A strong trend is the development of low-cost, open-source robotic microscopy systems for global health challenges. Scientific Awards: Premiada (recognized activity) XXV Congreso Nacional de la Sociedad Española de Enfermedades Infecciosas y Microbiologia Clínica Advising and Grants: He has advised numerous PhD students and leads multiple competitive R&D+i projects funded by national and European programs (e.g., HORIZON 2020, Plan Nacional). His projects include 'Graph-driven federated data management,' 'EXPeriment driven and user eXPerience oriented analytics,' and health-focused initiatives like 'For an improvement of Health through rapid and economic diagnosis (iH-red).' He collaborates extensively with institutions like the Hospital de la Vall d'Hebron and Fundació PROBITAS. Labs and Teams: He is a core member of the inSSIDE (integrated Software, Services, Information and Data Engineering) and inLab FIB research groups, both affiliated with CIT-UPC. These groups focus on cutting-edge data engineering, information systems, and their societal applications.
Hugo Sanjurjo-González is an Associate Professor at the Department of Computing, Electronics and Communication Technologies within the Faculty of Engineering at the University of Deusto. He holds a PhD in Intelligent Systems from the University of León with international distinction and Summa Cum Laude honors. Specializes in Natural Language Processing, Corpus Linguistics, and Computational Linguistics Develops software for multilingual corpus processing and linguistic data analysis Active in ontology-based writing assistance tools and semantic annotation Research Highlights: Focuses on integrating Deep Learning with NLP techniques, particularly Large Language Models (LLMs), to enhance linguistic data processing. Has contributed to multiple digital humanities projects involving theater corpora, parliamentary discourse, and culinary translations. Recent Publications: Special Issue HAIS 2021, PhrasIS benchmark, Content-based Authorship Identification Framework, and Theater Corpus Tools. Scientific Recognition: Mariano Rodríguez Award for Young Researchers Multiple prototype competition awards Professional memberships in academic societies Ongoing research grants in AI and language technology
Dr. Antoni Mas Mulet is an Associate Professor at the University of the Balearic Islands (UIB) since 2009, affiliated with the School of Mathematical Sciences and Computer Science and Department of Computer Science and Artificial Intelligence. He teaches core database courses including Databases I , Databases II , and Database Management Systems . Member of the Information and Multimedia Technologies Laboratory (TIM Lab) Research focus on database systems as problem-solving tools Industry experience as programmer analyst at Samoo (Pentec) since 2022 His expertise spans relational/NoSQL databases, Moodle-based virtual education tools, and educational technology implementation. He has worked across academic and tourism sectors for over 20 years, with ongoing teaching commitments in Computer Engineering programs.
Manuel Díaz Ordoñez is a Spanish historian and professor of Economic History at the University of Seville since 2012. He earned his PhD from the University of Barcelona in 2006 with the thesis Tied to Business: Bourbon Reformism and the Supply of Rigging for the Royal Navy (1675–1751) . He co-directs the Master's Degree in History and Digital Humanities at Pablo de Olavide University. As member of the Pierre Vilar Center and AHILA, his work bridges academic institutions and interdisciplinary research. University of Barcelona (PhD, 2006) University of Seville (Professor since 2012) Pablo de Olavide University (Co-director, Master's Degree) His research focuses on early modern economic history , particularly naval logistics and strategic commodity flows. Key areas include Spanish imperial history , hemp trade networks, military resource mobilization, and digital humanities applications. Recent work explores AI integration in historical pedagogy and database engineering for transatlantic nobility studies. Notable publications include Tied to Business (2006) and articles in Revista General de Marina and Digital Scholarship in the Humanities . His 15 most recent articles span 2025-2016, showing a progression from 18th-century Spanish-Baltic trade to AI-driven historical methodology. Scientific Distinctions : 2007: Premio Nacional Virgen del Carmen (Spanish Navy) 2008: Premio Arturo Barea 2009: Premio José María Calatrava He participated in numerous research projects including GECEM (ERC-funded) and 'Redes empresariales y administración estatal' (PAPIIT-UNAM). His work combines traditional historical methods with digital tools through collaborations like the GECEM project (2016-2021) and AtlantoCracies database development.
Hugo Sanjurjo González is an Associate Professor at the University of Deusto, based in the Department of Information, Electronics, and Communication Technologies within the Faculty of Engineering. He holds a PhD in Intelligent Systems from the University of León, awarded Summa Cum Laude for his work on corpus analysis frameworks. His teaching spans modules in Databases, NLP, Software Engineering, and Intelligent Systems, alongside workshops in Computational Linguistics. His research focuses on interdisciplinary NLP, corpus linguistics, and computational linguistics, with specializations in multilingual corpus tools, LLM integration, and semantic annotation. He has developed applications like the Hansard at Huddersfield web tool and the O-WEAA ontology-based writing assistant, aiming to democratize corpus-based methods for non-experts. His work also addresses challenges in cross-linguistic communication for professional writing, such as corporate reports and culinary menus. Key contributions include the Berri Corpus Manager (using MongoDB), the ACTRES Parallel Corpus, and tools for evaluating translations (e.g., PETRA 1.0). His publications emphasize user-centered design, genre analysis, and domain-specific CNL development, reflecting a blend of computational and linguistic innovation. Notable projects include BiTeX for recipe translation and GEDIRE for directors' reports, leveraging corpus data to bridge linguistic and cultural gaps. His work intersects with big data techniques, visualization tools (e.g., D3.js), and semantic tagging systems like USAS.
