Ms Gaia Maria Javier

Ms Gaia Maria Javier

Postdoctoral Fellow
  • 2021 – 2025: Doctor of Philosophy in Photovoltaic Engineering (UNSW)
  • 2018 – 2020: Master of Science and Technology in Energy Environment (École Polytechnique, France)
  • 2011 – 2015: Bachelor of Science in Physics (University of the Philippines, Philippines)
Engineering
Photovoltaic and Renewable Energy Engineering

Gaia is a Research Fellow with the ACDC Research Group in the School of Photovoltaic and Renewable Energy Engineering at the University of New South Wales (UNSW). She holds a Bachelor of Science in Physics from the University of the Philippines Baguio and a Master of Science and Technology in Energy Environment from École Polytechnique, France. She completed her PhD in UNSW, where she developed data-driven methods for improving solar cell characterisation. She now continues this work, with her research focusing on computer vision, machine learning, and data-driven analysis to support the solar cell value chain.

Location
Tyree Energy Technologies Building (TETB)
  • Journal articles | 2026
    Javier GMN; Wright B; Bucquet H; Zhu Y; Wu T; Trupke T; Hameiri Z, 2026, 'Extraction of qualitative photoluminescence and series resistance images from a single electroluminescence measurement', Solar RRL, 10, http://dx.doi.org/10.1002/solr.202500592
    Journal articles | 2024
    Buratti Y; Javier GMN; Abdullah-Vetter Z; Dwivedi P; Hameiri Z, 2024, 'Machine learning for advanced characterisation of silicon photovoltaics: A comprehensive review of techniques and applications', Renewable and Sustainable Energy Reviews, 202, http://dx.doi.org/10.1016/j.rser.2024.114617
    Journal articles | 2024
    Javier GMN; Evans R; Trupke T; Hameiri Z, 2024, 'Enhancing solar cell production line monitoring through advanced statistical analysis', Solar Energy Materials and Solar Cells, 274, http://dx.doi.org/10.1016/j.solmat.2024.112950
    Journal articles | 2023
    Javier GMN; Dwivedi P; Buratti Y; Perez-Wurfl I; Trupke T; Hameiri Z, 2023, 'Improvements and gaps in the empirical expressions for the fill factor of modern industrial solar cells', Solar Energy Materials and Solar Cells, 253, pp. 112183, http://dx.doi.org/10.1016/j.solmat.2023.112183
  • Conference Papers | 2025
    Javier GM; Wright B; Shakiba A; Hameiri Z, 2025, 'Automated analysis of performance losses in solar cells using explainable artificial intelligence', Montreal, Quebec, presented at 53rd IEEE Photovoltaics Specialists Conference, Montreal, Quebec, 08 June 2025
    Conference Papers | 2025
    Javier GM; Wright B; Zhao V; Rickard T; Hameiri Z, 2025, 'Developing an open-access dataset of solar cell luminescence images using generative modelling', Bangkok, Thailand, presented at 36th International Photovoltaic Science and Engineering Conference, Bangkok, Thailand, 09 November 2025
    Conference Papers | 2025
    Javier GM; Wright B; Zhao V; Rickard T; Hameiri Z, 2025, 'Developing realistic AI-generated datasets of solar cell luminescence images', Brisbane, Australia, presented at Asia-Pacific Solar Research Conference, Brisbane, Australia, 02 December 2025
    Conference Papers | 2025
    SHARMA R; Wright B; Javier G; Liu G; Abdullah-Vetter Z; Hameiri Z, 2025, 'Fully automated detection of multi-type solar cell defects and severity using label-free learning', Bangkok, Thailand, presented at 36th International Photovoltaic Science and Engineering Conference, Bangkok, Thailand, 09 November 2025 - 14 November 2025
    Conference Papers | 2024
    Javier GM; Bucquet H; Wright B; Zhu Y; Wu T-C; Trupke T; Hameiri Z, 2024, 'Deep learning-assisted extraction of photoluminescence and series resistance images from a single electroluminescence measurement', Seattle, USA, presented at 52nd IEEE Photovoltaics Specialists Conference, Seattle, USA, 10 June 2024
    Conference Papers | 2024
    Javier GM; Wright B; Shakiba A; Hameiri Z, 2024, 'Efficiency loss analysis in solar cells using explainable AI on I-V data and luminescence images', Sydney, Australia, presented at Asia-Pacific Solar Research Conference, Sydney, Australia, 03 December 2024
    Conference Papers | 2023
    Javier GM; Bucquet H; Wright B; Zhu Y; Wu T-C; Trupke T; Hameiri Z, 2023, 'AI-driven extraction of spatially-resolved photoluminescence and series resistance from electroluminescence images', Melbourne, Australia, presented at Asia-Pacific Solar Research Conference, Melbourne, Australia, 05 December 2023
    Conference Papers | 2023
    Javier GM; Dwivedi P; Trupke T; Hameiri Z, 2023, 'Decoupling open-circuit voltage and series resistance in electroluminescence images through deep learning', in 2023 IEEE 50TH PHOTOVOLTAIC SPECIALISTS CONFERENCE, PVSC, Institute of Electrical and Electronics Engineers (IEEE), Puerto Rico, pp. 1 - 1, presented at 50th IEEE Photovoltaics Specialists Conference, Puerto Rico, 12 June 2023 - 16 June 2023, http://dx.doi.org/10.1109/pvsc48320.2023.10359618
    Conference Papers | 2023
    Javier GM; Evans R; Dwivedi P; Trupke T; Hameiri Z, 2023, 'Advanced production line monitoring with time-lag sequential analysis', in 2023 IEEE 50TH PHOTOVOLTAIC SPECIALISTS CONFERENCE, PVSC, Institute of Electrical and Electronics Engineers (IEEE), Puerto Rico, pp. 1 - 1, presented at 50th IEEE Photovoltaics Specialists Conference, Puerto Rico, 12 June 2023 - 16 June 2023, http://dx.doi.org/10.1109/pvsc48320.2023.10359549
    Conference Papers | 2023
    Javier GM; Wright B; Zhu Y; Weber J; Wu T-C; Lee Chin R; Trupke T; Hameiri Z, 2023, 'Enhancing luminescence images through deep learning-based point spread function correction', Melbourne, Australia, presented at Asia-Pacific Solar Research Conference, Melbourne, Australia, 05 December 2023
    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
    Conference Papers | 2022
    Javier GM; Dwivedi P; Buratti Y; Trupke T; Hameiri Z, 2022, 'A hybrid empirical and machine learning method to estimate solar cell fill factor from luminescence images', Nagoya, Japan, presented at 33rd International Photovoltaic Science and Engineering Conference, Nagoya, Japan, 13 November 2022
    Conference Papers | 2022
    Javier GM; Dwivedi P; Buratti Y; Trupke T; Hameiri Z, 2022, 'Fill factor prediction of modern industrial cells: Potential gaps and improvements', in 2022 IEEE 49th Photovoltaics Specialists Conference (PVSC), Institute of Electrical and Electronics Engineers (IEEE), Philadelphia, USA, pp. 0353 - 0353, presented at 49th IEEE Photovoltaic Specialists Conference, Philadelphia, USA, 06 June 2022 - 10 June 2022, http://dx.doi.org/10.1109/pvsc48317.2022.9938517
    Conference Papers | 2022
    Javier GM; Evans R; Dwivedi P; Buratti Y; Trupke T; Hameiri Z, 2022, 'Evaluation of variations in solar cell production lines using time-series electroluminescence images', Newcastle, Australia, presented at Asia-Pacific Solar Research Conference, Newcastle, Australia, 29 November 2022
    Conference Papers | 2022
    Javier GM; Evans R; Dwivedi P; Buratti Y; Trupke T; Hameiri Z, 2022, 'Quality assessment of photovoltaic manufacturing lines through lag-sequential analysis', Nagoya, Japan, presented at 33rd International Photovoltaic Science and Engineering Conference, Nagoya, Japan, 13 November 2022
    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
    Javier GM; Buratti Y; Dwivedi P; Trupke T; Hameiri Z, 2021, 'Improving the accuracy of fill factor empirical expressions for modern industrial solar cells', Sydney, Australia, presented at Asia-Pacific Solar Research Conference, Sydney, Australia, 16 December 2021 - 17 December 2021

  • 2025: Best Presentation Award (36th International Photovoltaic Science and Engineering Conference)
  • 2024: Wal Read Memorial Award (Asia-Pacific Solar Research Conference)
  • 2024: Arc PGC Research Candidate Award (Faculty of Engineering, UNSW)
  • 2023: Muriel Watt Award (Asia-Pacific Solar Research Conference)