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Data Fusion & Traffic
I lead the research and development work around data fusion at Valerann. We combine traffic, event, weather and risk signals from various data sources in real-time to improve road operator’s situational awareness, using techniques such as fuzzy logic, spatio-temporal modelling and probabilistic reasoning. We also look after the engineering and scalability of the pipeline. See Choi et al. (Dec, 2023) System and Method for Providing Consolidated Events in a Traffic Management Control Centre Using Situational Awareness (US Patent No. 12,118,881)
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Solar Energy, Satellite Observations & Data Assimilation
My PhD research focused on improving solar panel deployment and efficiency based on real, long-term observations. This is achieved through the use of satellite earth observation techniques to better understand the global distribution of solar energy resources. See Choi et al. (2021). Developing Automated Methods to Estimate Spectrally Resolved Direct Normal Irradiance for Solar Energy Applications. Renewable Energy.https://doi.org/10.1016/j.renene.2021.03.127
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COVID Lockdown & Solar Energy
Using satellite observations of nitrogen dioxide (NO2) and aerosol optical depth during the COVID-19 lockdown, this study illustrates one of the potential hidden benefits of a cleaner atmosphere is more efficient large scale solar energy generation. See Choi et. al. (2020). COVID-19 lockdown air quality change implications for solar energy generation over China. Environ. Res. Lett. https://doi.org/10.1088/1748-9326/abd42f
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totalDerivativeOfEtaWithImprovedScale.png
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