Boris Düdder

Boris Düdder

Associate Professor

Member of:

    Dr. Boris Düdder is an associate professor at the Department of Computer Science (DIKU) at the University of Copenhagen (UCPH), Denmark. He is head of the Software Engineering & Formal Methods research group at DIKU. His primary research interests are formal methods and programming languages in software engineering of trustworthy distributed systems, where he is studying automated program generation for adaptive systems with high-reliability guarantees. He is working on the computational foundations of reliable and secure Big Data ecosystems. His research is bridging the formal foundations of computer science and complex industrial applications.

    He is involved in multiple projects on innovative and dependable industrial IT infrastructure for enterprises, manufacturing industries, and national healthcare IT, e.g., Data Ecosystems, Smart Factories, and Industry 4.0. He received several international, European, and national research grants on scalable infrastructures for data ecosystems, healthcare IT, blockchain, and FinTech, where he enjoys operating in multinational interdisciplinary consortia.

    Primary fields of research

    • Formal Methods in Software Engineering
    • Programming Languages and Formal Logic
    • Trustworthy Distributed Systems
    • Artificial Intelligence in Software Engineering
    • Secure Data Ecosystems
    • Reliable, safe, and secure distributed systems

    Current research

    • Automatic program generation (Project Combinatory Logic Synthesizer) and Robotic Process Automation (RPA)
    • Automatic verification and analysis of compositional IT systems
    • Verifiable and robust AI
    • Smart Factories, Manufacturing Systems, and Industry 4.0
    • Data markets with dependable services
    • Trustworthy and Ethical AI
    • Secure Healthcare Integration Infrastructures
    • Distributed Digital Ledgers (blockchain technologies)
    • Scalable IT infrastructure for Supply-chains and Logistics

    Research projects:

    • PAPRiCaS: Programming technology foundations for Accountability, Privacy-by-design & Robustness in Context-aware Systems
    • DeepTrace: Individualized medicine (drug printing) under privacy guarantees.
    • ReVUS: Udvikling af infrastruktur til sikker datadeling i sundhedssektoren (Development of secure data sharing infrastructure for the healthcare sector)
    • BlockNet: BlockChain Network Online Education for interdisciplinary European Competence Transfer
    • Sustainable supply chains for bio-based products —- using blockchain technology to accelerate sustainability in bio-based supply chains
    • Z-Inspection: A holistic and analytic process to assess Ethical AI


    • Software development 2016/2017, 2017/2018, 2018/2019, 2019/2020, 2020/21, 2021/2022, 2022/2023, 2023/2024
    • Blockchain Business Development 2019/2020, 2020/2021, 2021/2022
    • Subjects in Blockchain Technology
    • Advanced Functional Programming 2019

    ID: 172785813