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Research Bernoulli Institute


The research of the Information Systems Group focuses on three main fields, namely adaptive information systems, data-driven information systems and information assurance and security while exploring interdisciplinary topics on the interface of these three information systems flavours and their applicability in real-world scenarios. We are contributing to both fundamental and applied research and are excited about interdisciplinary topics involving industry and academia.

In particular, our research revolves around the following topics:

  • Adaptive Information Systems is a research area in which we emphasise on service-oriented process automation and flexible workflow management as the backbone of modern enterprise systems. Special attention is paid on both theoretical aspects of business processes and technological aspects of the corresponding middleware, as well as their software architecture and realizations. In this research area we are currently investigating:
    • Adaptive service choreographies
    • Process performance monitoring and improvement, monitoring of KPIs of both orchestrations and choreographies
    • Bridging the gap between predictive analytics and adaptive behaviour of processes and software systems in general
    • Data-driven adaptation of software systems with focus on data analytics
    • Reference Architecture for flexible information systems
    • Provenance of the adaptation of software systems, service choreographies for business applications and (data-)scientific pipelines
    • Privacy preserving models for adaptive scientific workflows
    • Applying and enhancing process mining for egocentric image processing towards discovery of process activities
  • Data-driven information systems area focuses on image processing, pattern recognition and machine learning with application to Internet of Things (IoT). In particular, the research interests are in the fields of:
    • Medical image analysis - computer aided diagnosis systems
    • Person identification by means of vision-based biometric features
    • Smart farming
    • Predictive analysis in sports science
    • Brain-inspired computer vision
    • Autonomous health monitoring systems with IoT
    • Anomaly detection in Blockchain
    • Egocentric vision
  • Information Assurance and Security targets the design, analysis/verification of security systems tailored to access control, key management and computation over encrypted data. Our group also performs research on data-centric security and privacy (S&P) making use of authentication and authorization infrastructures, privacy-enhancing technologies (PET) and trust management. The particular research areas include:
    • Formal Methods for S&P Analysis
    • Key Management and computation over encrypted data
    • PETs applied to (collaborative) machine learning
    • S&P for Medical Informatics, like e.g. genomic privacy
    • Cloud, IoT and Edge Security
    • Applications of Blockchain (with a focus on S&P) to various domains
    • Security analytics
    • Usable security

For more information go to our Group Web Page.

Last modified:07 October 2020 4.04 p.m.