Zygimantas has a Bachelor in Electrical Engineering and Electronics from the University of Southampton (2019) and joins to carry out his PhD in a project funded by an EPSRC iCASE scholarship and Unilever to advance intelligent embedded sensing and machine learning for activity recognition in everyday life.

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