My research centers on the theory and practice of conceptual modeling and its role in model-driven software engineering. I explore topics such as metamodelling, model transformation, semantic integration, and ontology-driven development, with a particular interest in Normalized Systems and FAIR data principles. Here, you can explore my publications, ongoing projects, research memberships, and academic profiles.
My work connects conceptual design, model-driven engineering, and semantic technologies. The goal is to turn complex domain knowledge into solutions that are consistent, automatable, and sustainable over time.
I design modelling languages and metamodels that help teams describe domains precisely and clearly. My focus is on models that support both human communication and reliable downstream automation.
I use models as first-class engineering artifacts. From these models, I derive implementations, support reverse engineering, and evaluate how model-driven approaches improve software quality and adaptability.
In ontology engineering, I work on knowledge representation, semantic annotations, and FAIR data practices. A key focus is connecting ontology-based methods with practical software development and research data management.
