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16 Last checked 03 November 2020


In November 2020, Dr Mahmoud Dhimish named in top 15 young UK scientists list (https://www.hud.ac.uk/news/2020/november/mahmoud-dhimish-top-15-mendeley-list/

Dr Mahmoud Dhimish is a Senior Lecturer in Electronics and Control Engineering at the University of Huddersfield, UK. He graduated with MSc. in Electronics and Communication Engineering (Distinction) from the University of Huddersfield. Following this, he gained a PhD entitled “Fault Detection and Performance Analysis of Photovoltaic Installations” also from the University of Huddersfield.

  • June 2020 - present: Course leader for Electronic Engineering BEng(Hons), Electronic and Electrical Engineering BEng(Hons), Electronic Engineering and Computer Systems BEng(Hons), School of Computing and Engineering, University of Huddersfield.
  • Nov. 2019 – present: Senior Lecturer in Electronics and Control Engineering, School of Computing and Engineering, University of Huddersfield.
  • May 2018 – Oct. 2019: Lecturer in Electronics and Control Engineering, School of Computing and Engineering, University of Huddersfield.
  • April 2016 – April 2018: Lecturer in Computing and Engineering, Study Group, International Study Centre (ISC), University of Huddersfield.
  • Dec. 2017 – April 2018: Postdoctoral Research Fellow, project title: “Digital Two-way Inhalation/Exhalation profile recorder for airway disease self-training and management to help patients achieve optimal inhalation manoeuvres”. School of Computing and Engineering, University of Huddersfield.
  • Jan. 2016 – Dec. 2016: Research Collaborator, project title: “PV output power enhancement using new intelligent PV configurations”. School of Electronic and Electrical Engineering, Leeds University.

Research Expertise and Interests

reas of Research and Expertise:

1) Photovoltaic (PV) solar energy systems:

  • Simulation: MATLAB, LabVIEW, SOLARGIS, PVsyst.
  • Installations: Rooftop, Façade.
  • Reliability analysis: Fault detection, Hot-spots (thermal imaging), microcracks (EL, PL, and electron microscopy).
  • Monitoring: Internet of Things (IoT), Big data analysis, High-performance computing (HPC), Statistics.

 2) Power Electronics:

  • Dc-Dc converters design and integration with renewables (PV and Wind).
  • Microinverters design and implementation.
  • Reliability analysis of converters/inverters and power electronics devices. Including lifetime prediction and degradation analysis.

 3) Artificial Intelligence (AI):

  • I have active research on deploying state-of-the-art AI models (i.e., ANN, Fuzzy logic system, and deep learning) for PV fault detection and classification.
  • Forecasting PV output power using AI techniques.


My Latest (updated May 2021) work:

I have invented a new power electronics device to reduce PV hotspots. The thermal cycle of a solar cell is shown below. It nearly takes 4 minutes to achieve the hotspots' recovery.


Recently, I have also developed a new high-efficient dc-dc converter that can be used with PV systems and Fuel cells.



Research Expertise and Interests

  • Renewable Energy Technologies
  • Photovoltaics
  • Wind Energy
  • Solar Energy
  • Artificial Intellegence
  • Machine Learning
  • Fault Detection
  • Reliability Analysis
  • Defect Characterisation
  • Probabilistic Modelling
  • Data Classification
  • Microtechnology
  • Nanotechnology


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