Select Publications
Journal articles
2024, 'Deep learning-based perspective distortion correction for outdoor photovoltaic module images', Solar Energy Materials and Solar Cells, 277, http://dx.doi.org/10.1016/j.solmat.2024.113107
,2024, 'Extracting the parameters of two-energy-level defects in silicon wafers using machine learning models', Solar Energy Materials and Solar Cells, http://dx.doi.org/10.1016/j.solmat.2024.113123
,2023, 'Raging with the Machine in the Uncanny Valley: Human–AI Cocreativity in the Eurovision-Themed AI Song Contest', Computer Music Journal, 47, pp. 44 - 63, http://dx.doi.org/10.1162/comj_a_00674
,2022, 'On the kinetics of high intensity illuminated annealing of n-type SHJ solar cells: 0.4%
2022, 'Silicon Heterojunction Solar Cells and p-type Crystalline Silicon Wafers: A Historical Perspective', Solar RRL, http://dx.doi.org/10.1002/solr.202200449
,2022, 'High-Intensity Illuminated Annealing of Industrial SHJ Solar Cells: A Pilot Study', IEEE Journal of Photovoltaics, 12, pp. 267 - 273, http://dx.doi.org/10.1109/JPHOTOV.2021.3122932
,2022, 'Impact of surface doping profile and passivation layers on surface-related degradation in silicon PERC solar cells', Solar Energy Materials and Solar Cells, 235, http://dx.doi.org/10.1016/j.solmat.2021.111497
,2021, 'Increased surface recombination in crystalline silicon under light soaking due to Cu contamination', Solar Energy Materials and Solar Cells, 232, http://dx.doi.org/10.1016/j.solmat.2021.111360
,2020, 'Investigation of light-induced degradation in N-Type silicon heterojunction solar cells during illuminated annealing at elevated temperatures', Solar Energy Materials and Solar Cells, 218, pp. 110752, http://dx.doi.org/10.1016/j.solmat.2020.110752
,2020, 'Evidence for a Light-Induced Degradation Mechanism at Elevated Temperatures in Commercial N-Type Silicon Heterojunction Solar Cells', Solar RRL, 4, http://dx.doi.org/10.1002/solr.202000214
,2019, 'Effects of Interfacial Layers on the Open Circuit Voltage of Polymer/Fullerene Bulk Heterojunction Devices Studied by Charge Extraction Techniques', ACS Applied Materials and Interfaces, 11, pp. 21030 - 21041, http://dx.doi.org/10.1021/acsami.9b02850
,2017, 'Quantifying Recombination Losses during Charge Extraction in Bulk Heterojunction Solar Cells Using a Modified Charge Extraction Technique', Advanced Energy Materials, 7, http://dx.doi.org/10.1002/aenm.201602026
,2015, 'Driving Force Dependence of Electron Transfer Kinetics and Yield in Low-Band-Gap Polymer Donor-Acceptor Organic Photovoltaic Blends', Journal of Physical Chemistry C, 119, pp. 12829 - 12837, http://dx.doi.org/10.1021/acs.jpcc.5b01617
,Conference Papers
2024, 'Assessing degradation trends of residential photovoltaic systems and their drivers across Australia', Numazu, Japan, presented at 35th International Photovoltaic Science and Engineering Conference, Numazu, Japan, 10 November 2024
,2024, 'Digital-twins of utility PV systems: PVsyst-based model limitations and implications', Numazu, Japan, presented at 35th International Photovoltaic Science and Engineering Conference, Numazu, Japan, 10 November 2024
,2024, 'Variable performance loss rates at different times of the day in a utility-scale PV system', Numazu, Japan, presented at 35th International Photovoltaic Science and Engineering Conference, Numazu, Japan, 10 November 2024
,2024, 'Machine learning applications for photovoltaic systems analysis', Queen's College, Oxford, United Kingdom, presented at Oxford Solar Research Symposium, Queen's College, Oxford, United Kingdom, 01 October 2024
,2024, 'Identifying distinct performance patterns in utility-scale photovoltaic plants using an unsupervised machine learning model', Vienna, Austria, presented at 41st European Photovoltaic Solar Energy Conference and Exhibition, Vienna, Austria, 23 September 2024
,2024, 'Photovoltaic cell defect classification from luminescence images: Embedding and clustering with unsupervised machine learning', Vienna, Austria, presented at 41st European Photovoltaic Solar Energy Conference and Exhibition, Vienna, Austria, 23 September 2024
,2024, 'Photovoltaic module array luminescence image preprocessing: Heuristic algorithms for perspective correction and cell segmentation', Vienna, Austria, presented at 41st European Photovoltaic Solar Energy Conference and Exhibition, Vienna, Austria, 23 September 2024
,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
,2024, 'Extracting the parameters of two-energy-level defects in silicon wafers using machine learning models', Seattle, USA, presented at 52nd IEEE Photovoltaic Specialists Conference, Seattle, USA, 10 June 2024
,2024, 'Photovoltaic soiling from particulate matter across Australia', Canberra, Australia, presented at 30th Conference of the Australian Meteorological and Oceanographic Society, Canberra, Australia, 05 February 2024 - 09 February 2024
,2023, 'Automated photovoltaic module quality assessment from luminescence images: defect classification using unsupervised machine learning', Melbourne, Australia, presented at Asia-Pacific Solar Research Conference, Melbourne, Australia, 05 December 2023 - 07 December 2023
,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
,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
,2023, 'Distortion correction for real-world solar panel images based on deep learning', Melbourne, Australia, presented at Asia-Pacific Solar Research Conference, Melbourne, Australia, 05 December 2023
,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
,2023, 'Photovoltaic module performance and degradation analysis', Melbourne, Australia, presented at Asia-Pacific Solar Research Conference, Melbourne, Australia, 05 December 2023
,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
,2023, 'Automated photovoltaic module end-of-life assessment', UNSW Sydney, Australia, presented at UNSW AI Symposium 2023, UNSW Sydney, Australia, 22 November 2023
,2023, 'Automated photovoltaic module quality assessment: defect identification and classification from luminescence images using machine learning', Puerto Rico, presented at 50th IEEE Photovoltaics Specialists Conference, Puerto Rico, 12 June 2023
,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
,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
,2023, 'Using GPT-3 to Achieve Semantically Relevant Data Sonificiation for an Art Installation', Springer Nature, Brno, Czech Republic, pp. 212 - 227, presented at Oliver Bown, Brno, 12 April 2023
,2023, 'The Human-Built Environment-Natural Environment Relation-An Immersive Multisensory Exploration with 'System of a Sound'', in International Conference on Intelligent User Interfaces, Proceedings IUI, pp. 8 - 11, http://dx.doi.org/10.1145/3581754.3584119
,2023, 'Using GPT-3 to Achieve Semantically Relevant Data Sonificiation for an Art Installation', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 212 - 227, http://dx.doi.org/10.1007/978-3-031-29956-8_14
,2022, 'Machine learning-powered module end-of-life decisions from luminescence images', Newcastle, Australia, presented at Asia-Pacific Solar Research Conference, Newcastle, Australia, 29 November 2022
,2022, 'Machine learning-powered module end-of-life decision making based on luminescence images', Nagoya, Japan, presented at 33rd International Photovoltaic Science and Engineering Conference, Nagoya, Japan, 14 November 2022
,2022, 'Modelling the dynamics of charge extraction transients from organic photovoltaic devices using generative representation learning', Nagoya, Japan, presented at 33rd International Photovoltaic Science and Engineering Conference, Nagoya, Japan, 14 November 2022
,2022, 'Investigating the performance of non-standard cell configurations for reconfigurable solar modules under varying shading conditions', Nagoya, Japan, presented at 33rd International Photovoltaic Science and Engineering Conference, Nagoya, Japan, 13 November 2022
,2022, '0.3% Efficiency Improvement for n-PERT Solar Cells with Illuminated Hydrogenation Process', in AIP Conference Proceedings, http://dx.doi.org/10.1063/5.0090522
,2022, 'Unsupervised Machine Learning for Photovoltaic Systems: Modelling LID Dynamics in SHJ Solar Cells', in AIP Conference Proceedings, http://dx.doi.org/10.1063/5.0089218
,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
,2022, 'Kinetics of Light-Induced Instability in Bifacial N-Type Silicon Heterojunctions', Lisbon, Portugal, presented at 11th International Workshop on Crystalline Silicon for Solar Cells (CSSC11), Lisbon, Portugal, 20 April 2022
,2021, 'Influence of Dislocation Density on Light-Induced Degradation in PERC Cells: A Cast- Mono Ingot Study', Online Event, presented at 31st International PV Science and Engineering Conference (PVSEC-31), Online Event, 13 December 2021
,2021, 'Machine Learning to Model LID Dynamics in SHJ Solar Cells', Online, ISFH, Germany, presented at 11th International Conference on Silicon Photovoltaics, SiliconPV, Online, ISFH, Germany, 19 April 2021
,2020, 'Can hydrogenation mitigate Cu-induced bulk degradation in silicon?', in Conference Record of the IEEE Photovoltaic Specialists Conference, pp. 2582 - 2585, http://dx.doi.org/10.1109/PVSC45281.2020.9300619
,2019, 'Kinetics of Light-Induced Degradation in Bifacial N-Type Heterojunctions', Chengdu, China, presented at 2nd International Workshop on Silicon Heterojunction Solar Cells, Chengdu, China, 11 November 2019
,2019, 'Multifunctional process to improve surface passivation and carrier transport in industrial N-type silicon heterojunction solar cells by 0.7% absolute', in AIP Conference Proceedings, http://dx.doi.org/10.1063/1.5123882
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