Congratulations to Wanni Xie and Markus Hofmeister

Congratulations to PhD students Wanni Xie and Markus Hofmeister, both of whom successfully defended their theses investigating different aspects of dynamic knowledge graph technology this summer.

Wanni's thesis "A dynamic knowledge graph approach for studying the decarbonisation of power systems" used a dynamic knowledge graph approach to explore the optimal placement of small modular nuclear reactors to decarbonise the UK power system under different assumptions about the availability of renewable energy and different constraints regarding the trade off between minimising generation capacity versus placing capacity near centres of population. See her publications for details.

Markus' thesis "A dynamic knowledge graph approach to creating interoperability in smart cities" explored the suitability of dynamic knowledge graphs to achieve interoperable systems of systems, as required for realising the vision of smart cities. The approach was demonstrated in two case studies, the first looking at cross-domain flood resilience, and the second on developing insights at the nexus of energy efficiency and air quality. See his publications for details.