Models and Systems (M&S)

Topic Cluster Chair: Univ.-Prof. Dipl.-Ing. Mag. Dr. techn. Edgar Weippl
 

Research Agenda

The research cluster Models and Systems is based on the observation that the real and digital world will increasingly converge in the future. In this context, our focus will primarily be on intelligent systems which are required in this transformation process.
One challenge here is to research and develop methods and procedures about knowledge in and about intelligent systems while taking new approaches into account.
This leads among others to the following research questions: How can systems be designed and modelled according to a “design-oriented approach” so that new architectures emerge in a disruptive environment (sustainability)? How can domain-specific knowledge be formalised and how can a representation of it be made “machine-understandable” (operationalizable, intelligent)? How can the behaviour of these intelligent systems be made comprehensible (explainability)? How can security and privacy be guaranteed in this context (secure systems)? How can we deal with the challenges of the ever-increasing distribution of information systems (distributed systems)?

The complexity and diversity of digitisation topics is not only addressed by appropriately positioned research approaches, but also by the design-oriented approach that takes disruptive technologies into account. The research questions mentioned above are of central importance for core Computer Science and are also an integral part of the modern, system- and design-oriented Business Informatics, which is an integral part of the Faculty of Computer Science.

This research cluster includes research on as well as the development of approaches, methods and tools for the areas cloud computing, flexible and distributed processes, parallel computing, conceptual modelling, intelligent and agile agents, DevOps, semantic technologies, Internet of the Future, service-oriented systems, cooperative systems, IT infrastructure for the industry 4.0, cyber-physical systems (CPS), Internet of Things, and blockchain systems.
The semantics of specific application domains are particularly relevant so that new technologies can be used appropriately. Conceptual modelling serves as the basis for this. By merging different basic technologies and those still in development, feasibility and solution approaches can be illustrated and made verifiable within the framework of prototype systems.

As part of design-oriented research, prototype implementations are designed, executed and validated using emergent technologies. By using specific Use Cases, it is possible to evaluate the developed models in an “experimental environment”. This will also give the opportunity to make the symbiosis of the virtual and real world, which happened through digitisation, more accessible.

Research Seminar M&S (WS2023/24)

  • 500502 SE Doctoral Research Seminar - Models and Systems

Doctoral Students

DoCS doctoral students of the research cluster M&S in alphabetical order:

  • Nisreen Alam Aldeen
    Working title: "Enhancing Privacy Protection in Cloud Computing through Identification and Authentication-Based Secure Data-Level Access Control"
    Supervisor: Univ.-Prof. Dipl.-Ing. Dr. Dr. Gerald Quirchmayr
  • Amirali Amiri
    Working title: "An Adaptive Dynamic Architecture in Cloud Resource Management"
    Supervisor: Univ.-Prof. Dr. Uwe Zdun
  • Volodimir Begy
    Working title: "Heuristic Model for Selection of Data Access Profile in Computational Jobs on Data Grids"
    Supervisor: ao. Univ.-Prof. tit. Univ.-Prof. Dipl.-Ing. Dr. Erich Schikuta
  • Guntur Budi Herwanto
    Working title: "An Intelligent Systems Approach for Supporting Privacy Awareness in Agile Software Development"
    Supervisor: Univ.-Prof. Dipl.-Ing. Dr. Dr. Gerald Quirchmayr
  • Matthias Ehrendorfer
    Working title: "Process Enhancement through Sensor-Awareness and Outcome Prediction During Design and Run-Time"
    Supervisor: Univ.-Prof. Dipl.-Math. oec. Dr. Stefanie Rinderle-Ma
  • Amine El Malki
    Working title: "Towards a Dynamically Adaptive Design of Microservices API"
    Supervisor: Univ.-Prof. Dr. Uwe Zdun
  • Andreas Freitag
    Supervisor: Univ.-Prof. Dipl.-Ing. Mag. Dr. techn. Edgar Weippl
  • Manuel Gall
    Working title: "Gamified Implementation of a Compliance Rule Modeling Language and Compliance Monitoring for Multiple Instances and Processes"
    Supervisor: Univ.-Prof. Dipl.-Math. oec. Dr. Stefanie Rinderle-Ma
  • Gabriel Karl Gegenhuber
    Supervisor: Univ.-Prof. Dipl.-Ing. Mag. Dr. techn. Edgar Weippl
  • Patric Genfer
    Working title: "Microservice API Analysis"
    Supervisor: Univ.-Prof. Dr. Uwe Zdun
  • Florian Holzbauer
    Supervisor: Univ.-Prof. Dipl.-Ing. Mag. Dr. techn. Edgar Weippl
  • Alexander Kinast
    Working title: "Combining Meta-Heuristics and Process Mining to Improve Manufacturing Processes"
    Supervisor: Univ.-Prof. Dipl.-Math. oec. Dr. Stefanie Rinderle-Ma
  • Lukas König
    Supervisor: Univ.-Prof. Dipl.-Ing. Mag. Dr. techn. Edgar Weippl
  • Nicole Elisabeth Lueger
    Supervisor: Univ.-Prof. Dr. Uwe Zdun
  • Marian Lux
    Working title: "Process Mining of Costomer Journey Processes in Information"
    Supervisor: Univ.-Prof. Dipl.-Math. oec. Dr. Stefanie Rinderle-Ma
  • Amolkirat Singh Mangat
    Working title: "Explainable Predictive Monitoring in Collaborative Process-Aware Information Systems"
    Supervisor: Univ.-Prof. Dipl.-Math. oec. Dr. Stefanie Rinderle-Ma
  • Evangelos Ntentos
    Working title: "Supporting Architecting Microservice-based Systems During System Evolution"
    Supervisor: Univ.-Prof. Dr. Uwe Zdun
  • Barbaros Özdemir
    Working title: "Building Rule-Based Goal-Oriented Conversational Agents through Information Retrieval from Dialogue Corpora"
    Supervisor: Univ.-Prof. Dipl.-Ing. Dr. Dr. Gerald Quirchmayr
  • Tobias Pfaller
    Supervisor: Univ.-Prof. Dipl.-Ing. Mag. Dr. techn. Maria Leitner, Bakk.
  • Michael Pucher
    Supervisor: Univ.-Prof. Dipl.-Ing. Mag. Dr. techn. Edgar Weippl
  • Pierre-Jean Maurice Khaled Quéval
    Supervisor: Univ.-Prof. Dr. Uwe Zdun
  • Beate Scheibel
    Working title: "Data-Aware Decision Analysis in Process-Aware Information Systems"
    Supervisor: Univ.-Prof. Dipl.-Math. oec. Dr. Stefanie Rinderle-Ma
  • Ferdinand Stich-Regner
    Supervisor: Univ.-Prof. Dr. Uwe Zdun
  • Richard Thron
    Working title: "Increasing the Level of Digital Forensic Readiness in Industrial Automation and Control Systems through a Scenario Driven Preselection and Preparation of Relevant Data Sources"
    Supervisor: Univ.-Prof. Dipl.-Ing. Dr. Dr. Gerald Quirchmayr