• Sigurdsgade 41, 2200 København N.

  • Sigurdsgade 41

    2200 København N.

  • Source: Scopus
20122024

Research activity per year

Personal profile

Short presentation

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

Teaching

  • 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

CV

Boris Düdder is an associate professor at the Department of Computer Science (DIKU) at the University of Copenhagen (UCPH), Denmark. His primary research interests are formal methods and programming languages in software engineering for trustworthy distributed systems, where he is studying automated program generation for adaptive systems with high-reliability guarantees, amongst other topics. 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 a guest lecturer at the Copenhagen Business School (CBS), Denmark, and the University of Electronic Science and Technology of China (UESTC), Chengdu, P.R. China. 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. He is a research fellow at the Institute for Intelligent Production Systems, Qingdao, P.R. China. He was awarded numerous prizes for his contributions to academia and industry.

He is a European Blockchain Center (EBCC) member, co-organizer of the Blockchain Summer Schools in Copenhagen from 2017 to 2020, and UCPH representative at the European Cyber Security Organisation (ECSO) in Brussels, Belgium. His community services include serving on program committees for various academic conferences and workshops. He is also an invited speaker at various international academic and industrial conferences, symposia, and workshops.

He received his Ph.D. (Dr. rer. nat.) at the Technical University of Dortmund, Germany, where he worked for nine years as a research chair manager and senior researcher. He was a senior researcher at the Fraunhofer Institute for Software- and Systems Engineering (ISST) and Fraunhofer Institute for Material Flow and Logistics (IML), Dortmund, Germany. He was a faculty at Tsinghua University, Beijing, P.R. China.

He has over 15 years of industry experience and founded multiple companies in industrial geographical information systems, supply chain IT, and predictive analytics on Big Data. He serves on the business advisory boards of Aryze IVS and NTA IVS, Denmark. He worked as an international consultant and software engineer for European banks, logistic providers, and manufacturing companies, e.g., a consultant for Microsoft Corp., Redmond.

Education/Academic qualification

Computer Science, Dr. rer. nat., Technische Universität Dortmund

Award Date: 31 Aug 2014

Computer Science, Diplom, Technische Universität Dortmund

Award Date: 31 Aug 2008

External positions

External lecturer, Copenhagen Business School

2019 → …

Guest lecturer, University of Electronic Science and Technology of China

2019 → …

Keywords

  • Faculty of Science
  • Software architecture
  • Software technology
  • Software engineering
  • Distributed systems
  • IT architecture
  • Safety
  • IT security
  • Distributed computing
  • Manufacturing systems
  • Logistics
  • Supply chain
  • Formal methods
  • Synthesis
  • Business IT
  • IT management
  • Cyber security
  • Reliable systems
  • Resilient systems
  • Program repair
  • Theorem proving
  • Model checking
  • Distributed Ledger
  • Artificial Intelligence
  • Data Ecosystems
  • Project management
  • Critical Infrastructure
  • Cyber physical systems
  • Systems engineering
  • Ethical AI
  • AI Lifecycle
  • Trustworthy Systems
  • Programming Languages

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or