• Source: Scopus
  • Calculated based on no. of publications stored in Pure and citations from Scopus
20162020

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Personal profile

Google Scholar h-Index

16 Last checked 03 November 2020

Biography

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

Areas of Research and Expertise:

[1].   Photovoltaic (PV) solar energy systems:

  • Simulation: MATLAB, LabVIEW, SOLARGIS, PVsyst
  • Installations: Rooftop, Façade
  • Reliability analysis: Fault detection, Hot-spots, Micro-cracks
  • Monitoring: Internet of Things (IoT), Big data analysis, High-performance computing (HPC), Statistics

[2].   Prediction, forecasting and data analysis techniques:

  • Machine learning
  • Artificial neural networks
  • Neuro-fuzzy methods
  • Self-organizing maps

[3].   Sensitivity, risk and uncertainty analysis:

  • Monte Carlo simulation
  • First-order reliability analysis
  • Set-to-set mapping

[4].   Climatology:

  • Global warming
  • Remote sensing and data assimilation
  • Climate modelling using artificial neural networks and probabilistic methods

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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