Michalis Vazirgiannis is a Professor at LIX, École Polytechnique (France) leading the Data Science and Mining (DaSciM) group. With academic backgrounds in Physics (Athens University), AI (Heriot-Watt University), and Informatics (Athens University), he has conducted research at Fraunhofer, Max Planck MPI, and INRIA/FUTURS while teaching at institutions across Greece, France, China, and Spain. His research spans Machine/Deep Learning for Graphs (GNNs, graph kernels, embeddings) Text Mining & NLP (Graph-of-Words, biomedical text analysis) Combinatorial Optimization for pandemic forecasting and energy systems Event/Anomaly Detection in time series and sensory data Industrial collaborations with Airbus, Google, Tencent, and BNP . He has supervised 29 completed PhD theses, published over 250 papers, and received prestigious awards including Marie Curie and Tencent Rhino-Bird Fellowships. His team leads the ANR-HELAS Chair (2020-2025) focusing on heterogeneous data deep learning.
Carlos Castillo is an ICREA Research Professor at Universitat Pompeu Fabra, leading the Social and Responsible Computing Research Group. Their work focuses on algorithmic fairness, social computing, and mitigating bias in AI systems across criminal justice, education, healthcare, and hiring. Key projects include the Horizon Europe FINDHR initiative to detect discrimination in algorithmic hiring, causal inference studies on recidivism risk prediction, and analyzing gender biases in student evaluations. Research Interests: Algorithmic fairness, bias mitigation in AI systems, social data ethics, criminal justice analytics, education technology, and health informatics. Notable contributions include the FA*IR fair ranking algorithm and foundational work on auditing algorithms in digital health. Recent Trends in Articles: Recent work emphasizes interdisciplinary applications of algorithmic fairness—e.g., improving representativeness in hiring datasets, analyzing disparities in medical AI models, and addressing bias in student satisfaction surveys. Publications also explore radicalization pathways via recommendation systems and the societal impact of algorithmic decision-making. Awards: Best Paper Awards in CIKM 2022 (Francesco Fabbri), ICAIL 2019 (Marius Miron), and ISCRAM 2013 (Muhammad Imran). Grants: Leads the Horizon Europe FINDHR project and collaborates with the European Commission on algorithmic discrimination research. Labs/Teams: Directs the Social and Responsible Computing Group, focusing on interdisciplinary projects with PhD students and industry partnerships.
Pablo Calleja is a Research Fellow at the Faculty of Computer Science, Polytechnic University of Madrid (UPM), where he has been a member of the Ontology Engineering Group (OEG) since March 2014. His research focuses on Natural Language Processing (NLP), medical terminology mapping, and legal domain applications. He holds a degree in Computer Engineering from San Pablo CEU University (2013) and has prior industry experience as a software developer at IECISA (2008–2011) and a collaboration grant at the Open Access Classroom, San Pablo CEU University (2011–2013). Key contributions include projects like Drugs4covid for pandemic drug discovery, TermitUp for terminological enrichment, and esT5s , a Spanish text summarization model. His work spans legal knowledge graphs, multilingual compliance systems, and NER techniques for academic content analysis. He has also explored accessibility multimedia services and semantic graph applications in tourism ( DBtravel ). Professional roles include collaboration grants at UPM and active participation in interdisciplinary projects such as SNOMED-CT annotation for medical technical sheets. Research trends emphasize cross-domain adaptation (e.g., K-Flares), data augmentation (Widaug), and multilingual NLP solutions. Advising and grants: His current position is supported by a collaboration grant at OEG. Earlier grants include work at San Pablo CEU University. No formal advisees are listed, but he contributes to collaborative research teams. Labs and teams: Core member of the Ontology Engineering Group (OEG), focusing on knowledge representation, NLP, and applied informatics in healthcare and law domains.
Elena Montiel Ponsoda is an Associate Professor in the Department of Applied Linguistics at the Faculty of Computer Science, Universidad Politécnica de Madrid (UPM), and a member of the Ontology Engineering Group since 2006. Her interdisciplinary expertise bridges linguistic sciences with computer science, focusing on multilingual aspects of knowledge representation. Education: PhD in Applied Linguistics (2011) from Universidad Politécnica de Madrid M.A. in Conference Interpreting and Translation (2000) from Universidad de Alicante B.A. in Technical Interpreting (2003) from Hochschule Magdeburg-Stendal, Germany Her research centers on the integration of linguistic resources with Semantic Web technologies, specializing in ontology localization, lexicalization, and multilingual terminology representation. She has pioneered approaches to connect translation studies with knowledge engineering, developing frameworks for linguistic linked data and semantic interoperability across languages. Recent publications reveal a strategic shift toward legal domain applications, with significant contributions to the LYNX project's knowledge graph for multilingual legal compliance. Her work demonstrates consistent innovation in representing terminological resources using OntoLex-lemon, with increasing focus on practical implementations in legal informatics and labor market analysis. As an active mentor, she has guided numerous graduate students through thesis research while participating in major international projects including NeOn, ICPS, Monnet, BabeLData, and LIDER. Her leadership extends to organizing key workshops on multilingual semantic web technologies and serving on program committees for top-tier conferences. Montiel Ponsoda maintains influential roles in W3C Community Groups (Ontolex, BMLOD, ld4lt), helping shape international standards for multilingual linked data and language technologies on the Web.
Bogdan Kulynych is a research scientist at Lausanne University Hospital in Switzerland, working within the Clinical Data Science group. He holds a Ph.D. in Computer Science from EPFL (Switzerland), where he was advised by Carmela Troncoso, and a B.Sc. in Applied Mathematics from Kyiv Mohyla Academy in Ukraine. His academic journey also includes a visiting fellowship at Harvard University with Flavio du Pin Calmon, and internships at Google and CERN. His research spans three interconnected domains: Algorithmic Accountability, Verification, and Reliability; Privacy-Preserving Learning and Statistics; and Algorithmic Systems in Healthcare. Kulynych develops methods for obtaining practical guarantees on model stability, robustness, and reliability, while also auditing these properties. His privacy work focuses on systems ensuring practical privacy guarantees with legally legible and interpretable operational risk analyses. In healthcare, he critically studies algorithmic system deployment in clinical practice through collaboration with clinicians and medical informatics practitioners. Kulynych's publication record demonstrates significant impact in top venues including NeurIPS, ICML, ICLR, FAccT, and PETS. His recent work addresses fundamental questions in differential privacy, operational privacy metrics, and healthcare AI applications. His research trend shows increasing focus on translating theoretical privacy guarantees into practical healthcare settings while addressing the social implications of algorithmic systems. Unifying Re-Identification, Attribute Inference, and Data Reconstruction Risks in Differential Privacy (NeurIPS 2025) (ε,δ) Considered Harmful: Best Practices for Reporting Differential Privacy Guarantees (2025) Attack-Aware Noise Calibration for Differential Privacy (NeurIPS 2024) As an active member of the academic community, Kulynych regularly presents at major conferences and seminars, including recent talks at Harvard Privacy Tools Seminar, NeurIPS, and Imperial College London. His work has received media attention in The Guardian, Wired, The Verge, and CNET regarding algorithmic bias challenges. Kulynych maintains an active presence on Bluesky (@bogdankulynych) where he engages in critical discussions about AI ethics, privacy, and the societal implications of technology.
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.
Elisa Simo Soler is an Assistant Professor at the Faculty of Law , University of Valencia , specializing in Procedural Law with a focus on gender perspectives in judicial processes. Her research examines algorithmic justice, gender-based violence, and planetary defense legal frameworks. Thesis : Quantitative analysis of gender stereotypes in sexual violence cases (2022) Research Interests : She investigates intersections between Artificial Intelligence and Law , particularly bias mitigation in digital justice systems. Her work also addresses Planetary Defense Law for cosmic threat scenarios and Gender Justice in procedural contexts. Collaboration : Supervised by Dr. Elena Martínez García, she contributes to debates on gender violence legal responses and virtual jurisdiction boundaries.
Belén Andrés Segovia is a distinguished Professor at the Department of Administrative and Process Law, Faculty of Law, University of Valencia, with additional affiliations at Jaume I University and the International University of La Rioja. With an extensive publication record spanning from 2014 to 2025, she has established herself as a leading academic in administrative law with a particular focus on the intersection of law and technology. Her research interests span Administrative Law, Digital Law, AI Regulation, Public Policy, Telecommunications Law, Audiovisual Regulation, Gender Equality in Law, Education Law, Public Health Law, and Blockchain legal implications. Andrés Segovia's work demonstrates a strong commitment to addressing contemporary legal challenges posed by rapid technological advancement, particularly in public administration contexts. Her research consistently bridges theoretical legal frameworks with practical applications in digital governance. Analysis of her publication trends reveals a significant evolution in focus from traditional administrative law topics toward increasingly technology-driven legal issues. Beginning with foundational work on audiovisual regulation and public broadcasting, her research trajectory shifted dramatically around 2020 to address pressing digital challenges including AI governance, blockchain applications, digital education, and pandemic-related regulatory responses. This evolution mirrors broader societal shifts toward digital transformation in public services and administration. Andrés Segovia has made substantial contributions through her academic leadership, having directed numerous collective works and books while also serving as a key contributor to important legal discussions on digital transformation. Her work appears across prestigious journals and publications, demonstrating both scholarly rigor and practical relevance to contemporary legal challenges facing public administration in the digital age.
Maria Isabel Sanchez-Mora Molina is an Associate Professor in the Department of Sociology at the University of Murcia, affiliated with the Faculty of Labour Sciences. Her research focuses on social exclusion, welfare state dynamics, public health policy, and political behavior analysis. She holds a PhD from the University of Murcia (2004) with a thesis on pension systems within welfare state discourse. Key research areas include social inequality, labor market dynamics, and regional governance. She leads the 'Social exclusion and inequality' research group and has contributed to studies on polarization, healthcare disparities, and EU policy implementation. Her work spans national surveys (e.g., Barómetro Región de Murcia series) and interdisciplinary projects addressing disability rights, climate policy, and urban housing challenges. Prominent publications include analyses of political polarization trends, health system inequities in Peru, and EU housing directives. Her recent work explores agrivoltaic systems' agricultural impacts and child activism initiatives. Despite extensive research output, no formal awards or grants are explicitly mentioned in the provided materials. Her professional narrative combines academic leadership, policy analysis, and community-focused research, with active participation in multidisciplinary teams addressing socio-economic challenges at regional and national levels.
Maria Carmen Núñez Lozano is a Professor at the Department of Public and Labor Law, College of Law, Universidad de Sevilla. Her research focuses on administrative law, legal economics, and the intersection of law with information and knowledge society frameworks. She is affiliated with the Research Center for Historical, Cultural, and Natural Heritage. Doctorate in Law from Universidad de Sevilla (1997) Member of research group SEJ397 Law, Economics, and Society Her work spans subfields such as public law, legal informatics, and cultural heritage law. She has supervised doctoral theses in specialized legal domains and maintains active collaborations in interdisciplinary legal research.
Josep Rafel Pegueroles Valles is a Professor at the Department of Telematic Engineering , Universitat Politècnica de Catalunya . He leads the Information Security Group - Mathematics Applied to Cryptography (ISG-MAK) and has contributed to 174 academic activities, including research projects, conference papers, and technical documents. Education: Ingeniero de Telecomunicaciones (Telecommunications Engineering), Doctorat en Ingeniería Telemática (Telematics Engineering) Research Focus: Cybersecurity, Digital Forensics, Electronic Payments, Communication Networks, and Legal Tech His 15 most recent articles (2023-2025) emphasize cybersecurity in IoMT , MITRE Framework analysis , and digital forensic methodologies . Topics include intrusion detection systems, threat actor attribution, and XSS vulnerability mitigation. Scientific Awards: Premio Accenture al mejor PFC Grants and Projects: Cátedra CARISMATICA (2022) SSADE - Secure Multimedia Access System (2001) Digital Innovation Hub de Catalunya EU-funded projects (2008-2011)
Teresa Maria Navarro Caballero is a Professor in the Department of Administrative Law at the University of Murcia , affiliated with the Faculty of Law . She leads research in water law, environmental policy, and legal informatics through her involvement in the Innovation, Law and Technology research group and collaborations with BIDA: Environmental Biolaw and other interdisciplinary teams. Doctorate (2006): Los instrumentos de gestión del Dominio Público Hidráulico , supervised by Dr. Antonio Martínez Marín Doctorate (2003): El contrato de cesión de derechos al uso privativo de las aguas , supervised by Dr. Antonio Martínez Marín Her research focuses on water rights , reutilization policies , data privacy compliance (RGPD/GDPR), and public-private collaborations in hydrological governance. Recent work includes analyzing the EU Water Reuse Regulation, circular economy integration, and transboundary water management between Spain and Portugal. Her publications demonstrate a strong emphasis on water governance , climate change mitigation , and digital water systems . Key contributions include legal frameworks for water markets, groundwater management, and ecoinnovation in public administration. She actively collaborates with multidisciplinary teams such as Innovation, Law and Technology and participates in European water policy discussions, particularly around state aid regulation and public funding mechanisms for environmental protection.
Amparo Lezcano Artal is an associate professor in the Department of Financial and Tax Law at the University of Valencia . She combines her academic role with independent legal practice specializing in tax procedures since 2018, following prior advisory firm experience. Education: Master's in Finance and Taxation-Tax Consulting (University of Valencia, Institute of Fiscal Studies) Master's in Business Law (University of Valencia) Specialized training in legal technology applications Her research focuses on tax law intersections with digital transformation, VAT compliance, and judicial tax developments. Publications emphasize jurisprudential trends, procedural guarantees, and legislative reforms. Key publication themes include: Tax liability frameworks and procedural modernization Res judicata application in fiscal law VAT deductibility criteria for business assets Taxpayer rights in judgment enforcement Permanent establishment income attribution Artificial intelligence impacts on tax systems
María Araceli Casasola Balsells is a Professor at the Universidad Pablo de Olavide in the Department of Financial Economics and Accounting. She is affiliated with the Social and Environmental Accounting Research Center (CICSMA) and leads the research group INFORMACIÓN, ENTORNO Y CAMBIO ORGANIZATIVO. Her academic work focuses on financial communication, corporate legitimacy, and readability analysis of corporate disclosures. Research Themes: Historical evolution of corporate narratives Environmental and social accounting Educational technology in financial education Web accessibility standards Legitimacy theory in petroleum/telecommunications sectors Academic Contributions: Her 2007 doctoral thesis on chairman's letters as legitimacy tools in CEPSA and REPSOL-YPF remains foundational. She has published extensively on GRI sustainability reporting, gamification pedagogy, and digital accessibility policies.
Maria Sáez de Propios is a Professor at the Faculty of Social and Legal Sciences of the Universidad Católica de Ávila. Her research focuses on intersections between digital economy, knowledge society, and legal frameworks governing online spaces. Education : PhD in 2023 from Universidad CEU San Pablo Her doctoral thesis explored The boundary between information freedoms and the right to honor on social networks under the supervision of Dr. Leopoldo Abad Alcalá. She actively contributes to the DEKIS (Digital Economy & Knowledge and Information Society) research group. No scientific awards or publications were explicitly detailed in the provided text.
