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Smart Systems Research Group

To promote sustainability and create resilience in systems, organisations, networks and societies

Dr Fateme Dinmohammadi is a postdoctoral research fellow in prognostics and asset reliability (with a particular interest to autonomous systems) at the Smart System Group, School of Engineering and Physical Sciences at Heriot-Watt University, Edinburgh, UK. She has several years' experience of research in the development of intelligent prognostics and smart maintenance solutions for a wide range of industry sectors, including offshore renewables, oil and gas, rail transport and manufacturing. She has published several papers in peer-reviewed journals and major conference proceedings in the fields of prognostic maintenance, reliability engineering, intelligent asset management, and predictive analytics.

Dr Tang's biography will be available soon.

Mingfei Wu pictureDr Mingfei Wu received his BEng (1st Class Honours) in Electrical and Electronic Engineering from Northumbria University in 2009, MSc in Control Systems from Imperial College London in 2010, and PhD in Power Electronics from the University of Sydney in 2015. From 2015 to 2016, he was a research assistant/associate in the University of Sydney. From May 2016, he works as a KTP associate (research associate) in the Heriot-Watt University. The KTP is a project in collaboration with Newarc Ltd in Newcastle, and his work is very close to the research and development of industrial products in Newarc Ltd. His current research interest includes soft switching of power electronic converter, optimisation of medium power (about 20kW) full bridge DC/DC converter design with IGBT modules, and embedded intelligent technology application in arc welding machines.

A full research profile can be viewed on Dr Wu's Home Page.

sergio elizondoSergio Elizondo-Gonzlezis an associate of the Knowledge Transfer Partnership (KTP) programme by Innovate UK. He works with Heriot-Watt University and Upside Energy Ltd. performing applied research in data science and machine learning in order to provide effective balancing services to the UK National Grid. Before this, Sergio obtained his PhD Informatics in 2017 from the University of Edinburgh, Scotland, where he worked in the areas of multi-agent systems and algorithmic mechanism design; the focus of his research was on designing suitable market-based coordination mechanisms for agent-based domestic demand response in low-carbon electricity grids (or a Smart Grid). From 2006 to 2011, he worked as a consultant and software engineer for a company that provided IT solutions for logistics providers, stevedoring companies, manufacturing plants, and custom brokers, in the USA and Mexico. In 2011 he earned an MSc Industrial Engineering with specialisation in logistics and supply chain management, from the University of Monterrey, Mexico. From 2004 to 2005, he worked as an IT business process analyst and QA software engineer for a steel manufacturing company, helping shape an in-house ERP software. In 2005, he received a BSc (Hons) Computer Science with focus on software engineering from the University of Monterrey, Mexico.