Photo of Mahmoud Dhimish

Mahmoud Dhimish

Accepting PhD Students

20162018
If you made any changes in Pure these will be visible here soon.

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 2015 – April 2018: Lecturer in Computing, Study Group, International Study Centre (ISC), University of Huddersfield.
  • Nov. 2017 – April 2018: Research Associate, 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. 2017: Research assistant, 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.

Conference Involvement:

  • Local Organizing committee member, EmiT Emerging Technology Conference, Huddersfield, United Kingdom, 2019.
  • Conference committee member, international Conference in Engineering Applications (ES2DE 2017), Madeira Island, Portugal, 2018.
  • Conference committee member, international Conference in Engineering Applications (ES2DE 2017), Madeira Island, Portugal, 2017.
  • Conference committee member, the 2nd International Conference on New Energy and Future Energy System, China, 2016.
  • Conference committee member, the first Asian Conference on Energy, Power, and Transportation Electrification (ACEPT), Singapore, 2016.

Keynote Speaker:

  • Realising medical technologies innovation in the Leeds City Region “TRANSLATE 2018” conference, Leeds, 2018. Presentation title: Digital Two-way Inhalation/Exhalation profile recorder for airway disease self-training and management to help patients achieve optimal inhalation manoeuvre parameters for efficient lung delivery of inhaled medicines.
  • Manchester Electrical Energy and Power Systems (MEEPS) workshop, 2017. Presentation title: Introduction to AI Technique Embedded with PV Plants Using the Concept of IoT and Big Data.
  • Manchester Electrical Energy and Power Systems (MEEPS) workshop, 2016. Presentation title: GCPV Fault Detection Algorithm Using Virtual Instrumentation (VI) LabVIEW Software.

Journal Reviewing:

Active reviewer for more than 30 journals, including:

  • IEEE transactions on Industrial Electronics.
  • IEEE transactions on Industrial Informatics.
  • IEEE transactions on Device and Materials Reliability.
  • Elsevier – Renewable Energy.
  • Elsevier – Electric Power Systems Research.
  • Elsevier – Applied Energy.
  • Elsevier – Journal of Cleaner Production.
  • IET Renewable Power Generation.
  • IET High Voltage.
  • Springer - Energy, Ecology and Environment (EEAE).
  • Springer - 3D Research.

Honours and Awards:

  • Certificate of outstanding contribution in reviewing for Renewable Energy Journal (Elsevier), 2018, Impact Factor: 4.357.
  • Certificate of outstanding contribution in reviewing for Solar Energy Journal (Elsevier), 2017, Impact Factor: 4.018.
  • Certificate of outstanding contribution in reviewing for Electric Power Systems Research (Elsevier), 2017, Impact Factor: 2.688.
  • Chancellor’s Award for Outstanding Achievement in the Electronic and Communication Engineering, University of Huddersfield, 2016.
  • Prize for the Best Project on the Electronic and Communication Engineering M.Sc. University of Huddersifeld, 2015.

Media Appearance:

  • 2018 - Global Source for Science News: Dr. Mahmoud Dhimish’s research will mean low energy bills for consumers.
  • 2018 - Hydrogen Fuel News (Hydrogen Power & Clean Energy Community): New research project aims to help homeowners share solar energy.
  • 2017 - PV Magazine: UK University (University of Huddersfield) develops algorithm for fault detection, research lead by Dr. Mahmoud Dhimish.
  • 2017 - ChEnected: Should Solar Energy Join the “Sharing Economy”.
  • 2016 - Electrical Business: “Demand diversity” will allow solar power generators to share their energy.

Keywords

  • Photovoltaics
  • Nanotechnology
  • Renewable Energy Technologies
  • Defect characterisation
  • Industrial Silicon solar cell manufacturing issues
  • Theoretical analysis of luminescence data
  • Probabilistic Modelling
  • Reliability
  • Artificial Intellegence
  • Materials
  • Solar Cells
  • Solar Energy
  • Spectroscopy
  • Microtechnology

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
Photovoltaic cells Engineering & Materials Science
Statistical methods Engineering & Materials Science
Electric potential Engineering & Materials Science
Chemical activation Engineering & Materials Science
Cracks Engineering & Materials Science
Solar cells Engineering & Materials Science

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

Research Output 2016 2018

  • 14 Article
  • 5 Conference contribution
2 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
Chemical activation
Photovoltaic cells
Infrared imaging
Cameras
Costs

PV output power enhancement using two mitigation techniques for hot spots and partially shaded solar cells

Dhimish, M., Holmes, V., Mehrdadi, B., Dales, M. & Mather, P. May 2018 In : Electric Power Systems Research. 158, p. 15-25 11 p.

Research output: Contribution to journalArticle

Photovoltaic cells
Solar cells
Chemical activation
Infrared imaging
Cameras
Open Access
Fuzzy logic
Diodes
Fault detection
Open circuit voltage
Fuzzy systems
10 Citations

Diagnostic Method for Photovoltaic Systems based on Six Layer Detection Algorithm

Dhimish, M., Holmes, V., Mehrdadi, B. & Dales, M. Oct 2017 In : Electric Power Systems Research. 151, p. 26-39 14 p.

Research output: Contribution to journalArticle

Fault detection
Fuzzy logic
Electric potential
Membership functions
Polynomials