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Mr Zubair Abdullah-Vetter

Mr Zubair Abdullah-Vetter

Casual Academic
Engineering
Photovoltaic and Renewable Energy Engineering
E-mail
z.abdullahvetter@unsw.edu.au
  • Journal articles | 2023
    Abdullah-Vetter Z; Dwivedi P; Buratti Y; Sowmya A; Trupke T; Hameiri Z, 2023, 'Advanced analysis of internal quantum efficiency measurements using machine learning', Progress in Photovoltaics: Research and Applications, 31, pp. 790 - 802, http://dx.doi.org/10.1002/pip.3683
  • Conference Papers | 2023
    Abdullah-Vetter Z; Dwivedi P; Ekins-Daukes N; Trupke T; Hameiri Z, 2023, 'Automated analysis of internal quantum efficiency measurements of GaAs solar cells using machine learning', in Conference Record of the IEEE Photovoltaic Specialists Conference, Institute of Electrical and Electronics Engineers (IEEE), Puerto Rico, pp. 1 - 3, presented at 50th IEEE Photovoltaics Specialists Conference, Puerto Rico, 12 June 2023 - 16 June 2023, http://dx.doi.org/10.1109/PVSC48320.2023.10359747
    Conference Papers | 2023
    Abdullah-Vetter Z; O' Kearney F; Dwivedi P; Lee Chin R; Wright B; Trupke T; Hameiri Z; O'kearney F, 2023, 'Predicting damp heat degradation in heterojunction modules using machine learning', Puerto Rico, presented at 50th IEEE Photovoltaics Specialists Conference, Puerto Rico, 12 June 2023, http://dx.doi.org/10.1109/PVSC48320.2023.10359614
    Conference Papers | 2023
    Abdullah-Vetter Z; Wright B; Lee Chin R; Trupke T; Hameiri Z, 2023, 'Using latent ordinary differential equation neural networks to predict the degradation of heterojunction PV modules at the end of damp heat tests', Melbourne, Australia, presented at Asia-Pacific Solar Research Conference, Melbourne, Australia, 05 December 2023
    Conference Papers | 2023
    Abdullah-Vetter Z; Wright B; Trupke T; Hameiri Z, 2023, 'Advanced analysis of internal quantum efficiency measurements of GaAs solar cells using machine learning', Melbourne, Australia, presented at Asia-Pacific Solar Research Conference, Melbourne, Australia, 05 December 2023
    Conference Papers | 2023
    Abdullah-Vetter Z, 2023, 'Predicting damp heat degradation in heterojunction modules using machine learning', Puerto Rico, presented at 50th IEEE Photovoltaics Specialists Conference, Puerto Rico, 12 June 2023
    Conference Papers | 2022
    Abdullah-Vetter Z; Dwivedi P; Buratti Y; Krzywicki A; Sowmya A; Trupke T; Hameiri Z, 2022, 'Automated analysis of internal quantum efficiency using chain order regression', in Conference Record of the IEEE Photovoltaic Specialists Conference, Institute of Electrical and Electronics Engineers (IEEE), Philadelphia, USA, pp. 476 - 478, presented at 49th IEEE Photovoltaics Specialists Conference, Philadelphia, USA, 06 June 2022 - 10 June 2022, http://dx.doi.org/10.1109/PVSC48317.2022.9938500
    Conference Papers | 2022
    Abdullah-Vetter Z; Dwivedi P; Lee Chin R; Wright B; Trupke T; Hameiri Z, 2022, 'Using machine learning to predict the complete degradation of accelerated damp heat testing in just 10% of the time', in Conference Record of the IEEE Photovoltaic Specialists Conference, Institute of Electrical and Electronics Engineers (IEEE), Philadelphia, USA, pp. 0472 - 0474, presented at 49th IEEE Photovoltaics Specialists Conference, Philadelphia, USA, 06 June 2022 - 10 June 2022, http://dx.doi.org/10.1109/PVSC48317.2022.9938942
    Conference Papers | 2022
    Dwivedi P; Buratti Y; Abdullah-Vetter Z; Liu G; Javier GM; Sowmya A; Trupke T; Hameiri Z, 2022, 'Accelerating the solar energy transition through artificial intelligence', Nagoya, Japan, presented at 33rd International Photovoltaic Science and Engineering Conference, Nagoya, Japan, 13 November 2022
    Reports | 2022
    Roberts M; Abdullah-Vetter Z; Dennis P; Bruce A; Egan R, 2022, Solar Potential of Australian Social Housing Stock, http://dx.doi.org/10.26190/unsworks/28351, https://apvi.org.au/solar-potential-of-australian-social-housing-stock/
    Conference Papers | 2022
    San Jose L; Vallerotto G; Abdullah-Vetter Z; Herrero R; Hameiri Z; Anton I, 2022, 'On the effect of misalignment distributions on the I-V curve of micro-CPV modules', Miyazaki, Japan (Online), presented at 18th International Conference on Concentrator Photovoltaic Systems, Miyazaki, Japan (Online), 25 April 2022 - 27 April 2022
    Conference Papers | 2021
    Abdullah-Vetter Z; Buratti Y; Dwivedi P; Sowmya A; Trupke T; Hameiri Z, 2021, 'Localization of defects in solar cells using luminescence images and deep learning', in Conference Record of the IEEE Photovoltaic Specialists Conference, Institute of Electrical and Electronics Engineers (IEEE), Online, pp. 745 - 749, presented at 48th IEEE Photovoltaics Specialists Conference, Online, 20 June 2021 - 25 June 2021
    Reports | 2021
    Abdullah-Vetter Z; Dehghanimadvar M; Nair S; Roberts M; Bruce A, 2021, Powering a sporting nation: Rooftop solar potential for AFL, http://dx.doi.org/10.26190/unsworks/28026
    Reports | 2021
    Abdullah-Vetter Z; Dehghanimadvar M; Nair S; Roberts M; Bruce A, 2021, Powering a sporting nation: Rooftop solar potential for Australian soccer, http://dx.doi.org/10.26190/unsworks/28022
    Conference Papers | 2021
    Abdullah-Vetter Z; Dwivedi P; Buratti Y; Krzywicki A; Sowmya A; Trupke T; Hameiri Z, 2021, 'Simplified analysis of internal quantum efficiency using machine learning', Sydney, presented at Asia-Pacific Solar Research Conference, Sydney, 16 December 2021, http://dx.doi.org/10.26190/unsworks/28136
    Reports | 2021
    Abdullah-Vetter Z; Ramsden C; Nair S; Dehghanimadvar M; Roberts M; Bruce A, 2021, Powering a sporting nation: Rooftop solar potential of Australian cricket, http://dx.doi.org/10.26190/unsworks/28025
    Conference Papers | 2021
    Buratti Y; Abdullah-Vetter Z; Javier GM; Dwivedi P; Trupke T; Hameiri Z, 2021, 'A review of deep learning for defects classification in silicon cells and modules from luminescence images', UNSW, Sydney, presented at 2021 Asia-Pacific Solar Research Conference, UNSW, Sydney, 16 December 2021 - 17 December 2021
    Conference Papers | 2021
    Buratti Y; Abdullah-Vetter Z; Sowmya A; Trupke T; Hameiri Z, 2021, 'A deep learning approach for loss-analysis from luminescence images', in Conference Record of the IEEE Photovoltaic Specialists Conference, Institute of Electrical and Electronics Engineers (IEEE), Online, pp. 97 - 100, presented at 48th IEEE Photovoltaics Specialists Conference, Online, 20 June 2021 - 25 June 2021
    Conference Papers | 2020
    Abdullah-Vetter Z; Buratti Y; Hameiri Z, 2020, 'Localisation of solar cell defects in luminescence images using deep learning', Online, presented at Asia Pacific Solar Research Conference, Online, 30 November 2020
    Reports | 2020
    Roberts M; Heywood P; Ramsden C; Nair S; Abdullah-Vetter Z; McCoy B; Nicholls A; Caton E; Copper J; Bruce A, 2020, Sunny side up: how schools, prisons and libraries can power Queensland’s renewable future, http://dx.doi.org/10.13140/RG.2.2.20897.22880

2020 The BT Imaging photovoltaic thesis prize for the best performance in Photovoltaics Materials and Devices

Combining artificial intelligence (AI) with the amazing UNSW-developed techniques, such as photoluminescence imaging, will bring new insights to the photovoltaic industry. My research assists developing higher standards for quality and reliability of photovoltaic devices. The most crucial aspect of my research is its contribution to tackling climate change. With faster and more efficient AI driven analysis techniques, we can make better and cheaper photovoltaic systems.