Dimitri Van Landuyt

Dimitri Van Landuyt

Researcher in Software Engineering and Information Systems Engineering. Main topics: Software architecture, self-adaptive systems, security, privacy, data protection, regulation, threat modeling, risk quantification, distributed storage, data protection

Dimitri Van Landuyt

Dimitri Van Landuyt is Associate Professor in Information Systems Engineering at the Research Center on Information Systems Engineering (LIRIS) within the Faculty of Economics and Business (FEB) of KU Leuven.

His research is centered around the application and translation of foundational software engineering principles to contemporary software development practices. The active research topics range from security and privacy by design, to distributed and cloud computing, to decentralized and distributed storage systems, to Software-as-a-Service (SaaS) delivery and customization, to regulatory compliance engineering and assessment, to the engineering of self-adaptive and autonomous systems, and to emerging technologies for contemporary data sharing and economic valorization (e.g. data spaces).

A significant part of Dimitri’s research focus is spent on methods, techniques and tools for security- and privacy-by-design. He has made significant contributions to the LINDDUN privacy threat modeling framework, of which he created the LINDDUN MAESTRO variant. He is actively involved in the LLM-based LINDDUN tool called PILLAR. Furthermore, Dimitri is the creator of the Privacy Impact Tree Analysis (PITA) approach, which provides an alternative tree-based approach to privacy threat modeling.

Dimitri is involved in diverse empirical research activities to evaluate threat modeling approaches and tools, also on evaluation of LLM-based and agentic tools and methods. Among his interests are the evaluation and management of architectural knowledge and architectural assumptions as implicit and tacit elements in the software development lifecycle. He is actively working on privacy metrics, and on the practical evaluation of privacy enhancing technologies (PETS) for advanced techniques such as Private Set Intersection (PSI), data anonymization, and synthetic data generation.

Dimitri Van Landuyt is an active member of and contributor to a wide range of scientific communities and program committees, including the International Conference on Software Engineering (ICSE), the European Conference on Software Architecture (ECSA), the International Conference on Software Architecture (ICSA), the ACM Secure Development Conference (SecDev), the Annual Privacy Forum (APF), the International Conference on Information Systems Development (ISD), the International Conference on Advanced Information Systems Engineering (CAiSE), and the Privacy Enhancing Technologies Symposium (PETS). He is Program Chair of the 2026 and 2027 ACM Secure Development Conference (SecDev), which is co-located with the annual ACM International Conference on the Foundations of Software Engineering (FSE).

He is a recurring reviewer and contributor to top-tier journal publications such as Computers & Security (COSE), the Journal of Information Security and Applications (JISAS), the Journal of Software and Systems (JSS), the Software and Systems Modeling (SoSyM) journal.

Dimitri obtained a PhD degree in Computer Science at the Department of Computer Science of KU Leuven in 2011.

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