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Connor Walker

Contact: C.Walker-2018@hull.ac.uk

PhD topic: Data-driven Intelligent Alarm Systems (DIAS) for Offshore Wind Maintenance


Connor Walker is developing advanced alarm processing systems for Offshore Wind Turbines using statistical methodology to improve Machine Learning accuracy. His current research focusses on how Large Language Models (LLMs) can be utilised to interpret alarm sequences and predict maintenance procedures, whilst ensuring LLM safety in the SafeLLM project.

 

Publications:

 

Useful Links

ACHIEVEMENTS

​Award: Computer Science Research Away Day

Authored two conference papers and made significant contributions to the SafeLLM project.

Supervisors

Principal Supervisor 

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Co-supervisor 

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