ORCID as entered in ROS
https://orcid.org/0000-0002-4895-9750
Select Publications
Conference Papers
, 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
, 2020, 'Insights into surface recombination of polycrystalline perovskite films via injection-dependent lifetime analysis', Online, presented at
, 2020, 'Temperature-dependent photoluminescence imaging using non-uniform excitation', in Conference Record of the IEEE Photovoltaic Specialists Conference, Institute of Electrical and Electronics Engineers (IEEE), Virtual, pp. 0789 - 0792, presented at
, 2020, 'End-of-line binning of full and half-cut cells using deep learning on electroluminescence images', in Conference Record of the IEEE Photovoltaic Specialists Conference, Institute of Electrical and Electronics Engineers (IEEE), Virtual, pp. 0133 - 0138, presented at
, 2020, 'Outdoor PL imaging of crystalline silicon modules at constant operating point', Virtual, pp. 2140 - 2143, presented at
, 2020, 'Line scanning photoluminescence imaging to study the effects of heat stress in thin-film modules', in 2020 47TH IEEE PHOTOVOLTAIC SPECIALISTS CONFERENCE (PVSC), IEEE, ELECTR NETWORK, pp. 384 - 388, presented at
, 2020, 'Line scanning photoluminescence imaging to study the effects of heat stress in thin-film modules', in Conference Record of the IEEE Photovoltaic Specialists Conference, pp. 0384 - 0388, http://dx.doi.org/10.1109/PVSC45281.2020.9300999
, 2019, 'Outdoor non-contact measurement of pseudo I-V curves of solar cells in a module', Canberra, presented at
, 2019, 'Deep learning on electroluminescence imaging for end-of-line cell binning', Xi'an, Shaanxi, China, presented at
, 2019, 'Application of suns-photoluminescence to extract implied
I-V curves of individual cells in modules installed in the
field', Marseille, France, presented at
, 2019, 'A novel method for characterizing temperature sensitivity of silicon wafers and cells', Chicago, USA, presented at
, 2019, 'A simplified contactless method for outdoor photoluminescence imaging', in Conference Record of the IEEE Photovoltaic Specialists Conference, Institute of Electrical and Electronics Engineers (IEEE), Chicago, USA, pp. 2571 - 2574, presented at
, 2019, 'Investigating metal-semiconductor contacts in solar cells using magnetic field measurements', in Conference Record of the IEEE Photovoltaic Specialists Conference, pp. 2764 - 2768, http://dx.doi.org/10.1109/PVSC40753.2019.8980686
, 2019, 'Magnetic Field Imaging: Strengths and limitations in characterising solar cells', in Conference Record of the IEEE Photovoltaic Specialists Conference, pp. 822 - 824, http://dx.doi.org/10.1109/PVSC40753.2019.8980950
, 2018, 'Photoluminescence imaging of field deployed modules using contactless switching', Sydney, presented at
, 2018, 'Effect of wafer position in ingot on the light and elevated temperature induced degradation (LeTID) of multicrystalline silicon', in 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion, WCPEC 2018 - A Joint Conference of 45th IEEE PVSC, 28th PVSEC and 34th EU PVSEC, pp. 303 - 308, http://dx.doi.org/10.1109/PVSC.2018.8547497
, 2018, 'Photoluminescence based characterization techniques for photovoltaic modules in the field', Winter Park, Colorado, presented at
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https://orcid.org/0000-0002-4895-9750