ORCID as entered in ROS
https://orcid.org/0000-0002-2934-4478
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Conference Papers
, 2025, 'Fully automated detection of multi-type solar cell defects and severity using label-free learning', Bangkok, Thailand, presented at
, 2025, 'A clustering-based approach to accurate performance loss rate estimation of solar farms', Bangkok, Thailand, presented at
, 2025, 'A unified framework for automated diagnostics of solar modules using multi-modal images', Bangkok, Thailand, presented at
, 2025, 'An automated diagnostics algorithm for performance assessment of utility-scale solar farms', Bangkok, Thailand, presented at
, 2025, 'Developing an open-access dataset of solar cell luminescence images using generative modelling', Bangkok, Thailand, presented at
, 2025, 'High-throughput contactless imaging of series resistance in solar cells using line-scanning technique', Bilbao, Spain, presented at
, 2025, 'Contact-free J-V: A simple technique for universal state-of-the-art solar cells', Bilbao, Spain, presented at
, 2025, 'Next-generation characterisation: Combining reflectance and luminescence hyperspectral spectroscopy with statistical modelling', Bilbao, Spain, presented at
, 2025, 'Optimal rainfall threshold for natural cleaning of dirt on panels', Cairns, Australia, presented at
, 2025, 'Machine learning meets PVsyst: a novel digital twin framework for utility-scale PV systems', Institute of Electrical and Electronics Engineers (IEEE), Montreal, Quebec, pp. 0456 - 0456, presented at
, 2025, 'Accelerating regeneration rate for silicon solar cells impacted by light and elevated temperature-induced degradation under field-related conditions', Montreal, Quebec, presented at
, 2025, 'Automated analysis of performance losses in solar cells using explainable artificial intelligence', Montreal, Quebec, presented at
, 2025, 'Enhancing solar farm performance monitoring using attention-based LSTM models and satellite weather data', Montreal, Quebec, presented at
, 2025, 'Evaluating statistical degradation rate calculation methods using synthetic datasets and current-voltage measurements', Montreal, Quebec, presented at
, 2025, 'Machine learning meets PVsyst: A novel framework to detect, classify, and forecast faults in utility-scale PV', Montreal, Quebec, presented at
, 2025, 'Minimising the uncertainty in performance loss rate calculation for photovoltaic systems: A clustering-based year-on-year approach', Montreal, Quebec, presented at
, 2025, 'Outdoor photoluminescence imaging of III-V multijunction solar cells under direct sunlight', Montreal, Quebec, presented at
, 2025, 'Simplified contactless method for current-voltage characterisation of modern solar cells', Montreal, Quebec, presented at
, 2025, 'Probabilistic soiling estimates for photovoltaic performance', Padova, Italy, presented at
, 2025, 'Temperature dependence of the ambipolar Auger coefficient in crystalline silicon', Oxford, UK, presented at
, 2024, 'An unsupervised learning approach to model potential induced degradation in photovoltaic modules', in Abdullah-Vetter Z (ed.), Sydney, Australia, presented at
, 2024, 'Applications of a machine learning model for real-time interpolated PVsyst simulations', in Applications of a machine learning model for real-time interpolated PVsyst simulations, Sydney, Australia, presented at
, 2024, 'Assessing the practical accuracy and limitations of PVsyst models for performance assessment of utility photovoltaic systems', Sydney, Australia, presented at
, 2024, 'Automated multiclass and severity classification of defects in photovoltaic module luminescence images using unsupervised machine learning', Sydney, Australia, presented at
, 2024, 'Contactless approach for estimating intrinsic carrier concentration using luminescence measurements', Sydney, Australia, presented at
, 2024, 'Contactless external quantum efficiency measurements of non-silicon solar cells', Sydney, Australia, presented at
, 2024, 'Development and application of virtual photovoltaic soiling sensors', Sydney, Australia, presented at
, 2024, 'Efficiency loss analysis in solar cells using explainable AI on I-V data and luminescence images', Sydney, Australia, presented at
, 2024, 'Evaluating statistical degradation rate calculation methods using current-voltage measurements', Sydney, Australia, presented at
, 2024, 'Impact of radiation exposure and operating temperature on the performance of ultra-thin silicon heterojunction solar cells', Sydney, Australia, presented at
, 2024, 'Optimising lifecycle management for utility-scale photovoltaic systems: An integrated electrical, economic, and environmental strategy', Sydney, Australia, presented at
, 2024, 'Outdoor photoluminescence imaging of III-V multijunction solar cells', Sydney, Australia, presented at
, 2024, 'Regional driving factors of degradation in Australian residential photovoltaic systems: A performance loss analysis', Sydney, Australia, presented at
, 2024, 'The role of luminescent coupling in monolithic perovskite/silicon tandem solar cells', Sydney, Australia, presented at
, 2024, 'Easy Access to Typical Multidimensional Process/Optical/Electrical Simulations for Solar Cells by Tuning 11 Variables', in 2024 IEEE 52ND PHOTOVOLTAIC SPECIALIST CONFERENCE, PVSC, IEEE, WA, Seattle, pp. 0413 - 0413, presented at
, 2024, 'First approximations for cleaning of soil accumulated at Australian PV sites', Numazu, Japan, presented at
, 2024, 'Optimising electrical, financial, and environmental outcomes for photovoltaic module lifecycle management: an automated computational approach', Numazu, Japan, presented at
, 2024, 'Assessing degradation trends of residential photovoltaic systems and their drivers across Australia', Numazu, Japan, presented at
, 2024, 'Digital-twins of utility PV systems: PVsyst-based model limitations and implications', Numazu, Japan, presented at
, 2024, 'Temperature dependence of the ambipolar Auger coefficient in crystalline silicon', Numazu, Japan, presented at
, 2024, 'Variable performance loss rates at different times of the day in a utility-scale PV system', Numazu, Japan, presented at
, 2024, 'Machine learning applications for photovoltaic systems analysis', Queen's College, Oxford, United Kingdom, presented at
, 2024, 'Contactless quantitative imaging of series resistance of solar cells', Vienna, Austria, presented at
, 2024, 'Identifying distinct performance patterns in utility-scale photovoltaic plants using an unsupervised machine learning model', Vienna, Austria, presented at
, 2024, 'Implied voltage of sub cells in tandem devices from luminescence images – The beauty of using a narrow bandpass filter', Vienna, Austria, presented at
, 2024, 'Line-scan luminescence imaging of large-area perovskite modules – first demonstration', Vienna, Austria, presented at
, 2024, 'Photoluminescence imaging of perovskite solar cells in full sunlight', Vienna, Austria, presented at
, 2024, 'Photovoltaic cell defect classification from luminescence images: Embedding and clustering with unsupervised machine learning', Vienna, Austria, presented at
, 2024, 'Photovoltaic module array luminescence image preprocessing: Heuristic algorithms for perspective correction and cell segmentation', Vienna, Austria, presented at
, 2024, 'Thickness variation determination of perovskite solar cells through hyperspectral reflectance imaging', Vienna, Austria, presented at
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https://orcid.org/0000-0002-2934-4478