ORCID as entered in ROS
https://orcid.org/0000-0002-2934-4478
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Conference Papers
, 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, '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
, 2024, 'Contactless external quantum efficiency evaluation of perovskite solar cells', Seattle; USA, presented at
, 2024, 'Deep learning-assisted extraction of photoluminescence and series resistance images from a single electroluminescence measurement', Seattle, USA, presented at
, 2024, 'Extracting the parameters of two-energy-level defects in silicon wafers using machine learning models', Seattle, USA, presented at
, 2024, 'Outdoor photoluminescence imaging of perovskite-based photovoltaic devices', Seattle; USA, presented at
, 2024, 'Spatially resolved characterisation of large-area perovskite modules', Seattle, USA, 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, pp. 0413 - 0413, presented at
, 2024, 'Photovoltaic soiling from particulate matter across Australia', Canberra, Australia, presented at
, 2023, 'Automated photovoltaic module quality assessment from luminescence images: defect classification using unsupervised machine learning', Melbourne, Australia, presented at
, 2023, 'Advanced analysis of internal quantum efficiency measurements of GaAs solar cells using machine learning', Melbourne, Australia, presented at
, 2023, 'AI-driven extraction of spatially-resolved photoluminescence and series resistance from electroluminescence images', Melbourne, Australia, presented at
, 2023, 'Distortion correction for real-world solar panel images based on deep learning', Melbourne, Australia, presented at
, 2023, 'Enhancing luminescence images through deep learning-based point spread function correction', Melbourne, Australia, presented at
, 2023, 'Implied voltage images of each subcell in perovskite/Si tandem solar cells using luminescence measurements', Melbourne, Australia, presented at
, 2023, 'Photovoltaic module performance and degradation analysis', Melbourne, Australia, presented at
, 2023, 'Temperature-dependent performance of 50 µm thick silicon heterojunction solar cells for space applications', Melbourne, Australia, presented at
, 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
, 2023, 'Automated photovoltaic module end-of-life assessment', UNSW Sydney, Australia, presented at
, 2023, 'Luminescence-based implied voltage imaging of tandem solar cells via bandpass filter method', Shenzhen, China, presented at
, 2023, 'Ionic compounds for electron extraction in low-temperature-processed crystalline silicon solar cells', Lisbon, Portugal, presented at
, 2023, 'Novel method for the extraction of the implied voltages of silicon wafers and solar cells from luminescence-based measurements', Lisbon, Portugal, presented at
, 2023, 'Surface saturation current densities of perovskite thin films from suns-photoluminescence quantum yield measurements', Lisbon, Portugal, presented at
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https://orcid.org/0000-0002-2934-4478