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Mahmoud Dhimish

Dr

Accepting PhD Students

20162018
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Personal profile

Biography

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

  • May 2018 – Present: 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 maneuvers”. 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 using statistically-based techniques:

  • Machine learning
  • Artificial neural networks
  • Neurofuzzy 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
  • Land-surface climate
  • Climate modeling using artificial neural networks and probabilistic methods

 

Researchgate https://www.researchgate.net/profile/Mahmoud_Dhimish

Googlesholar https://scholar.google.co.uk/citations?user=iXZX_WkAAAAJ&hl=en

ORCID https://orcid.org/0000-0003-1928-3613

Linkedin https://www.linkedin.com/in/dr-mahmoud-dhimish-184b44153/

 

Editorial Board Member:

Artificial Intelligence advisory board member in Cambridge Scholar Publishing. Link: http://www.cambridgescholars.com/t/ArtificialIntelligenceAdvisory

If you have an idea for a research-level book in artificial intelligence, energy, engineering, and computing, then please contact me to discuss the opportunity to publish your work as book.

Keywords

  • Photovoltaics
  • Renewable Energy Technologies
  • Defect characterisation
  • Theoretical Analysis of Luminescence data
  • Solar Cell Manufacturing Issues
  • Data Classification
  • Probabilistic Modelling
  • Reliability
  • Artificial Intellegence
  • Materials
  • Solar Cells
  • Solar Energy
  • Spectroscopy
  • Microtechnology
  • Nanotechnology
  • Machine Learning

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 3 Similar Profiles
Fault detection Engineering & Materials Science
Fuzzy logic Engineering & Materials Science
Cracks Engineering & Materials Science
Photovoltaic cells Engineering & Materials Science
Statistical methods Engineering & Materials Science
Electric potential Engineering & Materials Science
Solar cells Engineering & Materials Science
Chemical activation Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2016 2018

  • 16 Article
  • 6 Conference contribution

BESS Techno-economic challenges to support wind energy: Mind mapping and correlation matrix

Attya, A., Dhimish, M. & Schofield, N. 21 May 2018 (Accepted/In press) 8th IEEE PES Innovative Smart Grid Technologies Conference Europe. IEEE

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Energy storage
Wind power
Economics
Industry
4 Citations

Comparing Mamdani Sugeno Fuzzy Logic and RBF ANN Network for PV Fault Detection

Dhimish, M., Holmes, V., Mehrdadi, B. & Dales, M. Mar 2018 In : Renewable Energy. 117, p. 257-274 8 p.

Research output: Contribution to journalArticle

Fault detection
Fuzzy logic
Neural networks
Fuzzy systems
Membership functions
Open Access
Solar cells
Cracks
Electroluminescence
Chemical activation
Photovoltaic cells
Infrared imaging
Cameras
Costs
Open Access
irradiance
weather station
resource
network design
temperature

Activities 2016 2018

  • 12 Publication Peer-review
  • 2 Membership of committee
  • 1 Invited talk