J.L. Rebelo Moreira

J.L. Rebelo Moreira serves as an Assistant Professor at the Semantics, Cybersecurity and Services (SCS) research group within the Department of Computer Science, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) at the University of Twente. He joined the institution in 2014 as a PhD researcher and transitioned to his current faculty position in 2020 after completing his doctoral studies.

His academic foundation includes a Bachelor of Science in Computer Science and a Master of Science in Informatics, both earned at the Federal University of Rio de Janeiro, Brazil. Prior to his academic career, he accumulated 13 years of industry experience (2001-2014) as a software developer and enterprise architect.

Dr. Rebelo Moreira's research centers on solving interoperability challenges in information systems through dual technical and semantic approaches. His work emphasizes distributed systems architecture for technical interoperability and ontology engineering for semantic interoperability. Current projects investigate digital twins and explainable artificial intelligence (XAI) using ontological frameworks and model-based system engineering. He has significantly contributed to implementing FAIR (Findable, Accessible, Interoperable, Reusable) data principles, particularly for reproducibility in machine learning workflows and scientific pipelines.

With extensive teaching experience since 2008 across bachelor's, master's, Engineering Doctorate, and PhD levels, he currently leads the master's course on Architecture of Information Systems while contributing to Smart Industry Systems, Service-Oriented Architecture, Model-Driven Engineering, and Enterprise Architecture courses. He actively participates in academic service through conference organization (FOIS, EDOC, RCIS, ISCRAM) and peer review activities.

He maintains strong engagement with standardization bodies including the European Telecommunication Standardization Institute (ETSI) for SAREF IoT ontology development, GO-FAIR initiative, and Research Data Alliance (RDA), bridging academic research with industrial applications through collaborative projects.