Elena Maria Navarro Martinez
Full Professor at Catedrática de Universidad, Spain
Elena Navarro is a Full Professor of Software Engineering in the Department of Computing Systems at the University of Castilla-La Mancha (UCLM), Spain. She serves as Deputy Head of the Laboratory of User Interface and Software Engineering (LoUISE), where she conducts research in software architecture, requirements engineering, and digital twins, with the latter being her primary research focus. Her current research focuses on the analysis and design of approaches for Digital Twin engineering, ranging from microservice-based architectures to multi-agent systems.
She is the author of more than 150 publications, including more than JCR journal articles and iCORE conferences such as ICSA, ECSA. Her research has been developed within European, national, and regional funded projects, and she has participated in 40 publicly funded research projects as well as numerous technology-transfer collaborations with companies, related to different domains such as healthcare and aeronautic.
Professor Navarro has served on more than 100 program committees over the past decade and has held roles including General Chair, Program Committee Chair, and Workshop Chair in different conferences such as ICSOC, ICSA, ECSA, CAISE, etc. She is also co-editor of different Special Issues in JCR-indexed journals and a reviewer for leading venues such as IEEE Transactions on Software Engineering, Information and Software Technology, and the Journal of Systems and Software.
Her international collaborations have been mainly focused on Software Architecture with different universities such University of Texas at Austin, University of Vienna with Professor Uwe Zdun and TU Wien. She has supervised six doctoral theses and currently serves as Treasurer of the Spanish Scientific Society of Computer Science (SCIE) .
Title: Engineering Digital Ecosystems with Multi-Agent Digital Twins & Collective Intelligence
Abstract: Digital Twins (DTs) have evolved from simple virtual models into real-time, synchronized digital representations that monitor, simulate, and control complex physical assets. However, current implementations face severe engineering hurdles: nearly 80% of published proposals function merely as passive “Digital Shadows” lacking automated closed-loop actuation, while monolithic, ad-hoc architectures create persistent domain silos.
To overcome these barriers, this keynote presents Multi-Agent Systems (MAS) as a foundational paradigm for engineering dynamic, goal-driven DT architectures. MAS4DT is presented as a domain-agnostic engineering methodology, empirically validated, that adapts agent-oriented design across three iterative phases: System Specification, Architectural Design, and Detailed Design. By mapping core DT quality properties to specialized agent roles, MAS4DT provides goal-to-agent traceability and reusable design patterns.
Furthermore, this keynote illustrates that, as digital ecosystems expand, single-twin models must transition toward Federated Digital Twins (FDTs). By coupling Autonomous Digital Twins (ADTs) with Artificial Collective Intelligence (ACI), FDTs leverage distributed problem solving, cognitive diversity, and aggregate knowledge to manage complex city-scale infrastructure.