Improved accuracy and robustness in drone localisation: Award of Excellence for Alessandro Fornasier

Alessandro Fornasier’s work involves helping robots and drones to navigate the world. As part of his PhD project, he used the theory of ‘equivariant systems’ to develop localisation algorithms that are more robust and accurate. In recognition of his research in the Control of Networked Systems working group, he has now been honoured with the ‘Award of Excellence’ presented by the Austrian Federal Ministry of Education, Science and Research.

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Promoting empathy and empowerment through video games about refugee experiences

Kseniia Harshina (Department of Information Technology) is developing a virtual reality game that explores issues of forced migration and flight. The project is part of the Ada Lovelace Programme, which supports young researchers who are conducting interdisciplinary research in the context of “Humans in the Digital Age”.

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Bringing a new function to journalism: Research project focuses on book clubs in journalism culture

In her research project, Mercedes de Luis Andrés explores how so-called BoJo Clubs, – book clubs within journalism culture – particularly in post-conflict societies, can contribute to a shift in how we relate to journalism and reading circles, providing practical insights for communities in challenging societal contexts. She recently received the CLS INFRA Transnational Access Fellowship for this work, providing her with an opportunity to conduct research at the University of Galway in Ireland.   

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Location-aware robotic vehicles: a universal approach paves the way for a wider range of applications

To explore new terrain and perform tasks autonomously, be it in the air, on the ground or under water, robotic vehicles need to know where they are and what their surroundings are like. As part of his research for his doctorate, Christian Brommer, a member of the research group ‘Control of Networked Systems’ at the University of Klagenfurt, has developed a modular and robust framework model that is designed to maximise the autonomy of robotic vehicles exploring unknown terrain.

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