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Possible advisorsa guess from early papers, not confirmed
- Binh Thanh NguyenSuggested from co-authorship
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Works9 from public data
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- Airside Surveillance by Computer Vision in Low-Visibility and Low-Fidelity Environment3
A computer vision framework and deep learning algorithms to detect and track aircraft in low-visibility (due to bad weather) and low-fidelity (due to technical issues) environments to enhance visibility using digital video input are proposed.
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- Gaussian mixture variational autoencoder for runway configuration prediction in imbalanced data–
A Gaussian Mixture Supervised Variational Autoencoder is proposed, a deep probabilistic model designed to improve runway configuration prediction by addressing challenges such as data scarcity, temporal shifts, and imbalanced patterns.
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Publication data from OpenAlex; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-11. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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