Master assignments

Assignments are designed for TU Delft Aerospace Engineering master students, who follow the master tracks of the Control and Operations Department.

Contact me for more details if you are interested in any of the assignments.

Current assignments

1. Runway Incursion Detection Using ADS-B Data
This thesis focuses on developing a scalable method for identifying runway incursion risks from ADS-B-based traffic data, in collaboration with Boeing. The work includes building a database of known events, reconstructing traffic around runway operations, defining severity measures beyond binary detection, and evaluating false positives and detection performance on wider surveillance windows.

2. Label-Conditioned Generation of Aircraft Arrival Trajectories with Diffusion Models
This thesis explores controllable generation of aircraft arrival trajectories for specific maneuver patterns and airports. The work builds on public arrival trajectory data and may include creating or reproducing maneuver labels, training label-conditioned generative models, comparing guidance strategies, and studying whether rare or counterfactual arrival patterns can be generated realistically.

3. Generative Trajectory Inpainting for Robust Fuel Consumption Modeling
This assignment studies how generative models can reconstruct missing or corrupted flight trajectory segments in a physically consistent way. The work includes creating masked trajectory datasets, testing approaches such as diffusion models or sequence models, and evaluating whether reconstructed trajectories improve downstream aircraft fuel consumption prediction.

There are always open assignments that further develop the following research topics:

• Trajectory prediction
• Flight and operation efficiency
• Aircraft performance modeling
• Machine learning for air traffic control

See previous and ongoing assignments on the research page.