Ayobami Olanrewaju

The sheer quantum of data being created and collected across jurisdictions requires a carefully planned and proactive approach to data management. The need for fusion and integration of multiple data sources characterized by fragmented data ownership is driving innovative approaches to large scale distributed data management and integration to avoid inconsistent and inaccurate data.

The aim is to investigate, design and implement a fully decentralized solution to provide efficient management of dynamically updated information and support for distributed queries. One or more domain specific use cases shall be identified within the context of the project, considering both the current and future needs of some of the involved partners. These nicely fit into the ESR research plan, owing to the need of surveying the user’s requirements to begin with; simultaneously, the uses cases can also be thought of as sources of advanced data management challenges.

  • Host organisation: University of Salento, Italy
  • PhD-enrolment: University of Salento
  • Duration: 36 months
  • Expected start date: ~Nov 2021
  • Secondment: DE (4 months), TUD (4 months)

Research Directors:

  • Prof. Massimo Cafaro massimo.cafaro@unisalento.it
  • Dr. Philip Douglass pdo@danskenergi.dk
  • Dr. Simon Tindemans S.H.Tindemans@tudelft.nl