Autonomous Aerial Power-Plant Inspection in GPS-Denied Environments
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UAV trajectory generation and edge computer vision for inspecting energy infrastructure where GPS is unreliable. Funded by the US DOE / NETL.
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UAV trajectory generation and edge computer vision for inspecting energy infrastructure where GPS is unreliable. Funded by the US DOE / NETL.
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Deep-learning crack detection running on-board UAVs for real-time infrastructure inspection.
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Using deep generative models to understand and visualise how disease progresses in brain imaging. Presented at IEEE BIBM 2024.
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Multimodal machine learning with explainable AI (XAI) for earlier, clinically interpretable detection of eye disease — co-designed with clinicians for low-data settings. (Paper and patent in progress).