Processes, machine learning and distributed systems hos Københavns Universitet

Software, Data, People & Society

I sektionen forskes der i software, proces- og datastyringssystemer. Der arbejdes med metoder til at udvikle softwaresystemer, der er egnede til enten udviklerne eller brugerne, og derved skaber værdi for samfundet. Forskningen udføres oftest i en tværfaglig sammenhæng og i samarbejde med industrien.

Sektionen er inddelt i seks områder:

  • Decentraliserede systemer
  • Computerstøttet kooperativt arbejde
  • Datastyringssystemer
  • Sundheds-it
  • Proces modellering og intelligens
  • Sikkerhed og privatliv

Læs mere her: https://di.ku.dk/english/research/sdps/

Engelsk version:

The section works with software, process and data management systems, and methods for the development of software systems suited for the people developing and using them, thereby creating value for society. The research is often carried out in an interdisciplinary context and in collaboration with industry.

The section is divided into six areas:

  • Decentralized systems
  • Computer Supported Cooperative Work
  • Data Mangement Systems
  • Health IT
  • Process Modelling and Intelligence
  • Security and Privacy

Read more here: https://di.ku.dk/english/research/sdps/

 

Particular topics of interest include: 
1) Executing and monitoring processes on blockchains
2) Process mining: machine learning for processes 
3) Distributed modelling of process models
4) Planning of processes, in particular in the context of complex resource constraints
5) The design and development of a hybrid modelling, simulation and execution framework that combines different perspectives on business processes. 

Projects can be practical, for example by designing and implementing tools based on recent advances in research, or theoretical, for example by developing and 
extending formal modelling notations or algorithms. 

Supervisor:
Tijs Slaats, slaats@di.ku.dk

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