Aim: PhD in Engineering

Biography

He received a B.Eng. (First Class Honours) and M.Sc. (Distinction) from the University of Southampton and Imperial College London, respectively. Prior to joining Warwick, he worked in industry at Siemens, Rolls-Royce Motor Cars and Goldacre.

My News and Interests

LinkedIn 

ORCiD

My Research

Dannier’s research focuses on hazard detection for robust and pre-emptive prediction. Utilising Temporal Graph Neural Networks as a scalable and data-driven method to learn patterns from knowledge graph representations of the scene. Graph structures that can encode scene knowledge and the interrelations between scene entities to highlight the cause and effect relations that underpin hazardous event evolution.

Recent Publications

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