2025 TRL Autumn School
Autumn School on Data Science, AI and Modelling for Air Transport
Between the 27 and the 31 October 2025, the Transport Research Lab run its Autumn School and Hackathon on data science, AI and modelling for Air Transport.
The School was aimed at students—mainly from the School of Computer Science—interested in transportation (with a focus on aviation) and how data and modelling approaches can be applied in this field.
We welcomed 19 participants, with lectures on Monday from university staff and guest speakers.
- Introduction to air traffic management and mobility modelling
- Use of anonymised Mobile Network Data for transport modelling
- Modelling and simulating the system (Mercury – Agent-Based Model)
- Techniques for data analysis and modelling
- Process mining for air transport and simulation analysis
- Regression models for flight operations
- Clustering and trajectory analysis
On Tuesday, students participated in a hands-on session with open datasets, including EUROCONTROL’s R&D Archive, OpenSky ADS-B, and ERA5. The week concluded with a hackathon, where students developed and presented their own projects.
Congratulations to all participants — and especially to the hackathon participants and winners:
1. 🥇 Deeptangshu Mazumder, for developing from scratch a dashboard to visualise airline and airport operations using EUROCONTROL R&D data.
2. 🥈Milena Musiienko, Oscar Denche, Matthew Lester and Daniel Hernandez, for their full pipeline predicting flight demand to the UK — impressive work in just two days.
3. 🥉Oluwatobi Fadeyi, for applying unsupervised clustering to analyse airport flight operations.
4. Griselle Fernandes, for her literature review on climate hotspot dynamics.
All material (slides) and code (for hands-on with data activities) are available at: https://github.com/UoW-ATM/Autumn_school_2025
