Electronics and Electrical Engineering
I completed my PhD in 2016 under the supervision of Prof. Tim Green in the Control & Power research group, Imperial College London, with a thesis titled 'Power Converter Design for HVDC Applications', for which I was awarded the departmental Eryl Cadwaladr Davies Prize for best doctoral thesis submitted in the academic year.
I have 28 published research papers (12 of which in IEEE Journals, 1 in an IET Journal, and three of which are co-authored with industry partners) on various topics relating to HVDC converters, such as optimised design of modular converter topologies, design of modular converters to enable short-term dynamic overload capabilities, power-loss and thermal modelling of semiconductor devices, hybrid converter topologies using mixed semiconductor technologies (IGBT and thyristor), and the design of converters with integrated energy storage. My paper to the 2018 IEEE Transactions on Power Delivery HVDC special issue was awarded the best paper award for the issue and also included as one of three papers on the journals 'papers received favourable reviews' list that year.
PhD - Electrical Engineering - Imperial College London - 2016
BEng (Hons) First Class - Electrical Engineering - University College Dublin - 2012
Member of IEEE and CIGRE
- Power Engineering 2 (2nd Year Module)
- Power Engineering Fundamentals (MSc Level Module)
- Advanced Power Electronics & Machines (MSc Level Module)
- Electrical Power Engineering Laboratory (MSc Level Module)
Grzegorz Jacenków is a PhD student at The University of Edinburgh. The core of his research is focused on integrating medical imaging and non-imaging data to improve decision support systems. His advisors are Prof. Sotirios A. Tsaftaris and Dr Alison O'Neil. His research is funded by EPSRC and Canon Medical Research Europe.
- BSc (Hons) Computer Science with Business and Management with Industrial Experience, The University of Manchester, 2017
- MSc Artificial Intelligence, The University of Edinburgh, 2018
- Teaching Assistant for Machine Learning for Signal Processing
I am a Lecturer and holder of Elizabeth Georgeson Fellowship in Data and Digitalisation for Net Zero.
As a sustainable energy engineer and researcher, my ambition is to bridge the gap between academic research and implementation in the industry to accelerate the decarbonisation of energy systems. My research involves the use of data-driven and digital smart grid solutions and state-of-the-art technologies such as digital twin modelling, smart contracting, and AI as well as niche market mechanisms including smart local energy markets and flexibility trading.
Prior to my fellowship, I worked on the EPSRC DISPATCH Project towards multi-vector net zero heating and cooling solutions. I hold an award-winning Master of Engineering degree and a PhD from the School of Engineering, University of Edinburgh. Recently, I won the Scottish Renewables Young Professionals Green Energy Award for my PhD project on bottom-up decarbonisation of smart local energy systems.
- Master of Engineering (Hons), Engineering in Sustainable Energy, University of Edinburgh, 2018
- PhD in Engineering, Impact of Peer-to-Peer Trading and Flexibility on Local Energy Systems, 2022 - link
- Member of the Institute of Electrical and Electronic Engineers (IEEE)
- Member of the Institution of Engineering and Technology (IET)
- Affiliate Member of the Energy Institute (EI)
- Member of Women's Engineering Society (WES)
- STEM Ambassador for East Scotland
Teaching:
- Multi-Scale Energy Demand (PG, 20-credits) as Course Organiser
- Solar Power Conversion/Solar Energy & Photovoltaic Systems (UG, PG)
Project Supervision/Co-Supervision:
- MSc Sustainable Energy Systems
- MSc Electrical Power Engineering
- PhD Supervision
- Tariro Mupfurutsa: "Co-Simulation and Optimization of Energy and Transport Networks for Sustainable Infrastructure Planning in the Context of Increased Electric Vehicle Adoption"
- Weizhe Qin: "Dynamic Flexibility Mapping for Multi-Source Energy Systems in the Built Environment"
- List of publications on Google Scholar