Dimitri Van Landuyt

Papers

Total Citations

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About

Dimitri Van Landuyt’s research lies at the intersection of software engineering, security, and privacy, with a focus on self-adaptive socio-technical systems. His most-cited work, a 2024 vision paper on “Human empowerment in self-adaptive socio-technical systems” (7 citations), critically examines the tension between autonomous AI-driven decision-making and human agency. In this paper, he argues that as generative AI and machine learning increasingly drive self-adaptive systems, software must be designed to empower rather than displace humans—a timely contribution to debates on responsible AI. Van Landuyt’s broader impact includes foundational work on security requirements engineering and privacy-by-design patterns, often cited in the context of model-driven security and threat analysis. His research has shaped how developers integrate privacy and security into early system design, with cumulative citations reflecting his influence in both academic and industrial settings. Notable achievements include leading European projects on privacy engineering and co-authoring widely adopted security analysis frameworks. For students and researchers, Van Landuyt’s work offers a compelling roadmap for building trustworthy, human-centered autonomous systems.