🎓 Postdoctoral researcher specialising in data integration, engineering and analytics.
🔬 Designing and building data-driven solutions to solve practical transport and energy challenges.
🛠️ Focusing on bridging the gap between analytical methodologies and real-world applications via robust data pipelines.
🌱 Developing and maintaining open-source Python packages designed to streamline research workflows.
| Package | Description |
|---|---|
| PyHelpers |
An open-source toolkit for facilitating Python users' data manipulation tasks. |
| PyRCS |
An open-source tool for collecting railway codes used in different UK rail industry systems. |
| PyDriosm |
An open-source tool for downloading, reading and PostgreSQL-based I/O of OpenStreetMap data. |
- Jiang, Y., Fu, Q., Thomopoulos, N., & Chen, J.L. (2025). Understanding the influence of past driving experience on electric vehicle purchase intention in China. Transport Policy, 270-282. doi:10.1016/j.tranpol.2024.11.025 | 📄
- Fu, Q., Nicholson, G.L., & Easton, J.M. (2024). Understanding data quality in a data-driven industry context: Insights from the fundamentals. Journal of Industrial Information Integration, 100729. doi:10.1016/j.jii.2024.100729 | 📄
- Yu, Y., Fu, Q., Zhang, D., & Gu, Q. (2024). Understanding User Experience with Smart Home Products. Journal of Computer Information Systems, 1–23. doi:10.1080/08874417.2024.2408006 | 📄 | 💻
- Fu, Q., Easton, J., & Burrow, M. (2024). Development of an Integrated Computing Platform for Measuring, Predicting, and Analyzing the Profile-Specific Fixity of Railway Tracks. Transportation Research Record, 2678(6), 1-13. doi:10.1177/03611981231191521 | 📄 | 💻
- Fu, Q., & Easton, J. (2018). Prediction of weather-related incidents on the rail network: prototype data model for wind-related delays in Great Britain. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 4(3), 04018027. doi:10.1061/AJRUA6.0000975 | 📄 | 💻