ORCID as entered in ROS
https://orcid.org/0000-0002-4895-9750
Select Publications
Conference Papers
, 2024, 'Contactless approach for estimating intrinsic carrier concentration using luminescence measurements', Sydney, Australia, presented at
, 2024, 'Contactless quantitative imaging of series resistance of solar cells', 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, 'Deep learning-assisted extraction of photoluminescence and series resistance images from a single electroluminescence measurement', 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, 'Daylight Photoluminescence Imaging Based on Central Inverter Switching: Field Application and Quantitative Analysis', in 2024 IEEE 52nd Photovoltaic Specialist Conference (PVSC), IEEE, pp. 468 - 468, presented at
, 2024, 'Large Scale Daylight Photoluminescence Imaging of Photovoltaic Systems', in 2024 IEEE 52nd Photovoltaic Specialist Conference (PVSC), IEEE, pp. 0467 - 0467, 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, '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, '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, 'Luminescence-based implied voltage imaging of tandem solar cells via bandpass filter method', Shenzhen, China, 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
, 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
, 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
, 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
, 2023, 'Dynamic calibration of injection dependent carrier lifetime from time-resolved photoluminescence', in 2023 IEEE 50TH PHOTOVOLTAIC SPECIALISTS CONFERENCE, PVSC, Institute of Electrical and Electronics Engineers (IEEE), Puerto Rico, pp. 1 - 1, presented at
, 2023, 'Predicting damp heat degradation in heterojunction modules using machine learning', Puerto Rico, presented at
, 2023, 'Predicting damp heat degradation in heterojunction modules using machine learning', Puerto Rico, presented at
, 2023, 'Implied voltage imaging of solar cells and cell precursors: single bandpass filter method', Delft, The Netherlands, presented at
, 2022, 'A deep learning approach to denoise luminescence images of solar cells', Newcastle, Australia, presented at
, 2022, 'Evaluation of variations in solar cell production lines using time-series electroluminescence images', Newcastle, Australia, presented at
, 2022, 'A hybrid empirical and machine learning method to estimate solar cell fill factor from luminescence images', Nagoya, Japan, presented at
, 2022, 'Accelerating the solar energy transition through artificial intelligence', Nagoya, Japan, presented at
, 2022, 'Quality assessment of photovoltaic manufacturing lines through lag-sequential analysis', Nagoya, Japan, presented at
, 2022, 'Super-resolution luminescence imaging of solar cells using deep learning', Nagoya, Japan, presented at
, 2022, 'Photoluminescence imaging using non-uniform excitation: Recent progress', Milan, Italy, presented at
, 2022, 'Photodoping causes inconsistencies in the injection-dependent lifetimes of perovskite thin films', in 2022 IEEE 49th Photovoltaics Specialists Conference (PVSC), Institute of Electrical and Electronics Engineers (IEEE), Philadelphia, USA, pp. 0368 - 0368, presented at
, 2022, 'A deep learning approach to increase luminescence image resolution of solar cells', in 2022 IEEE 49th Photovoltaics Specialists Conference (PVSC), Institute of Electrical and Electronics Engineers (IEEE), Philadelphia, USA, pp. 329 - 329, presented at
, 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
, 2022, 'Contactless determination of emitter sheet resistance for diffused silicon wafers', in 2022 IEEE 49th Photovoltaics Specialists Conference (PVSC), Institute of Electrical and Electronics Engineers (IEEE), Philadelphia, USA, pp. 0367 - 0367, presented at
, 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
, 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
, 2022, 'A deep learning approach to denoise electroluminescence images of solar cells', in 2022 IEEE 49th Photovoltaics Specialists Conference (PVSC), Institute of Electrical and Electronics Engineers (IEEE), Philadelphia, USA, pp. 0442 - 0442, presented at
, 2021, 'A review of deep learning for
defects classification in silicon cells and
modules from luminescence images', UNSW, Sydney, presented at
, 2021, 'Improving the accuracy of fill factor empirical expressions for modern industrial solar cells', Sydney, Australia, presented at
, 2021, 'High-resolution luminescence imaging using deep learning', Sydney, presented at
, 2021, 'Simplified analysis of internal quantum efficiency using machine learning', Sydney, presented at
, 2021, 'Outdoor Photoluminescence Imaging from Unmanned Aerial Vehicles Alexander', in Scott A; Hameiri Z; Trupke T; Perez-Wurfl I; Kunz O (eds.), Sydney, presented at
, 2021, 'Efficiency prediction of solar cells using photoluminescence images and deep Learning', in Small letters, Online, presented at
, 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
, 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
, 2021, 'High Throughput Outdoor Photoluminescence Imaging via PV String Modulation', in Conference Record of the IEEE Photovoltaic Specialists Conference, pp. 346 - 350, http://dx.doi.org/10.1109/PVSC43889.2021.9519109
, 2021, 'Temperature-dependent performance of silicon wafers: the impact of gettering and hydrogen passivation', Online, presented at
, 2021, 'Luminescence imaging: Outdoor module inspection in full daylight', SPIE, Online, presented at
, 2020, 'Deep learning on electroluminescence images for end-of-line binning of full and half-cut cells', Online, presented at
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https://orcid.org/0000-0002-4895-9750