In the air transport system, there has been a continuous effort to develop policies, tools, and
methodologies that increase and standardize safety levels across the entire commercial …

As air traffic demand grows, robust, data-driven methods are required to ensure that aviation
systems become safer and more efficient. The terminal airspace is identified as the most …

This paper presents a data-driven approach for multi-scale characterization of the Brazilian
airspace structure and air traffic operational performance from aircraft tracking data recorded …

Current airspace has limited resources, and the widespread use of unmanned aerial
vehicles (UAVs) increases airspace density, which is already crowded with manned aircraft …

View Video Presentation: https://doi. org/10.2514/6.2022-2441. vid In recent years, the
aviation industry has seen a large increase in the volume of operations. The maintenance …

In order to jointly solve the tasks of abnormal trajectory detection and flow pattern
recognition for flight trajectory data analysis, an end-to-end framework based on deep …

As my journey through graduate school concludes, I would like to acknowledge those who
made the journey such a great experience. First, I would like to express my deep gratitude to …

As air traffic demand grows, robust, data-driven anomaly detection methods are required to
ensure that aviation systems become safer and more efficient. The terminal airspace is …

View Video Presentation: https://doi. org/10.2514/6.2023-4107. vid Anomaly detection in
flight operations data is a prominent approach to delivering actionable information for …

Context: Advances in battery and automation technology have made routine air taxi and
cargo transport in urban areas a business model that can be attained by emerging aviation …