Text Mining for Accident Reports and Risk Quantification

Jan 1, 2019
link
NASA ULI Project

Overall Information

This is a NASA ULI project titled “Information Fusion for Real-Time National Air Transportation System Prognostics under Uncertainty” is funded by NASA. I serve as a Co-PI on the project to analyze the accident report data. Here is the website for this ULI project.

Software Funded Text-Mining NASA
Hao Yan
Hao Yan
Assistant Professor in School of Computing, Informatics, and Decision Systems Engineering

My research interests include Data Science for Complex Systems.

Publications

Data-driven trajectory prediction with weather uncertainties: A Bayesian deep learning approach
Trajectory prediction is an essential component of the next generation national air transportation system. Reliable trajectory …
Yutian Pang, Xinyu Zhao, Hao Yan, Yongming Liu
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Hierarchical Tree-Based Sequential Event Prediction with Application in the Aviation Accident Report
Sequential event prediction is a well-studied area and has been widely used in proactive management, recommender systems and …
Xinyu Zhao, Hao Yan, Yongming Liu
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Hierarchical Tree-Based Sequential Event Prediction with Application in the Aviation Accident Report
Spatio-Temporal Anomaly Detection, Diagnostics, and Prediction of the Air-Traffic Trajectory Deviation Using the Convective Weather
With ahead-of-time aircraft management, we are able to re- duce aircraft collision and improve air traffic capacity. How- ever, there …
Xinyu Zhao, Hao Yan, Jing Li, Yutian Pang, Yongming Liu
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