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Dr Khamis Al-Romaimi

Lecturer in Engineering

Email:

Khamis.Al-Romaimi@sunderland.ac.uk

About Dr Khamis Al-Romaimi

I've studied at several different Universities, including Sheffield, Sunderland, Curtin of Technology and Manchester. My PhD is in computer science and engineering. I contributed to multiple publications in CIGRE, IEEE, Inderscience, Asset Management Congress, ITOMS and I was a peer reviewer to various publishers such as IET and IEC. This can also be implemented in different fields and areas: the NHS, water, oil and gas. I have obtained qualifications in Mechanical and Manufacturing Engineering, Automatic and Control System Engineering, Electrical Engineering and Asset Management.

My research area is Asset Management Health Index Development for Driving Maintenance Strategy for Electrical Utilities Using Artificial Intelligence, Machine Learning and MATLAB. This integrated my technical field experience using international standards into a new tool, “Power Transformer Health Index (PTHI)” for condition monitoring. PTHI is a tool like RCM, CBRM and CASCADE to monitor and extend the lifecycle of the electrical power transformers asset and manage governments' and utilities' spending.

This strategy adds value to investment decisions in managing capital, operating expenditures, master planning, total expenditures, and achieving the organisation's ROI. The research added value to the national economy, industry, and academia.

The research app PTHI helps maintenance engineers verify the health condition of the electrical assets, build skills in data science, gain experience among different experts and engineers, consider computer science part of daily developments to cope with big data driven decision making challenges, and enable better decision making.