Stephen McArthur, BEng(Hons) PhD CEng FIET FIEEE

• Artificial Intelligence (AI) and intelligent system applications in power engineering
• Engineering application of data science and data analytics
• Condition monitoring, diagnostics and prognostics for equipment, plant and power networks
• Distributed intelligence in electric power systems, active network management and Smart Grids
• Nuclear power plant monitoring, diagnosis, prediction, and lifetime extension
• Intelligent system methods: knowledge based systems; model based reasoning; machine learning
• Multi-Agent Systems and Intelligent Agents: multi-agent methods, models, techniques and architectures for power engineering applications
• Decision support environments

My area of expertise is intelligent system applications in power engineering, covering condition monitoring, diagnostics and prognostics, active network management and wider smart grid applications. My research leadership roles include being Director of the EPSRC Centre for Doctoral Training in Future Power Networks and Smart Grids, which is a partnership between Strathclyde and Imperial College, London. I am also Academic Director of the Advanced Nuclear Research Centre at the University of Strathclyde. This is delivering a range of solutions for through-life plant management to UK and international industrial partners. As part of this activity I am the Academic Principal Investigator on the EPSRC Prosperity Partnership programme entitled "Delivering Enhanced Through-Life Nuclear Asset Management"

Within the University I am a Deputy Associate Principal for Research, Knowledge Exchange and Innovation with a remit including REF 2021 preparation and EPSRC relationship management. I am also co-Director of the Institute for Energy and Environment and Academic Director of the Low Carbon Power and Energy Programme within the Technology and Innovation Centre. Previously, from August 2011 until June 2014, I was the Head of the Department of Electronic and Electrical Engineering.

My teaching activities cover intelligent systems, distributed intelligence in power systems, smart grids, condition monitoring, and diagnostic systems.

• Intelligent systems, with a focus on power and energy applications.
• Research and development of diagnostic and prognostic decision support systems.
• Decision support frameworks and architectures, using distributed intelligence methods and platforms.
• Smart Grid applications.
• Plant lifetime extension in the civil nuclear industry.