Contact Dr Xin Chen
- Tel: +44 (0) 1234 750111
- Email: xin.chen@cranfield.ac.uk
- ORCID
Areas of expertise
- Aircraft Design
- Computing, Simulation & Modelling
- Flight Physics
Research opportunities
Physics-informed Machine Learning, Uncertainty Quantification and Management, Aircraft Design, Multi-disciplinary Design Optimization, Cloud Computing
Current activities
Dr Xin Chen's current research utilises Physics-informed Neural Networks (PINN) for multi-fidelity surrogate modelling, with an aim to improve the computational efficiency in Modelling and Simulation (M&S) of unconventional aircraft configurations.
Publications
Articles In Journals
- Huang G, Sharma A, Chen X, Riaz A & Jefferson-Loveday R. (2025). Numerical predictions of Low-Reynolds-Number propeller aeroacoustics: comparison of methods at different fidelity levels. Aerospace, 12(2)
- El Fassi S, Chen X, Riaz A, Guenov MD, van Heerden ASJ, .... (2023). Managing assumption-driven design change via margin allocation and trade-offs. Journal of Engineering Design, 35(10)
- Molina-Cristobal A, Chen X, Guenov MD, Riaz A & van Heerden ASJ. (2019). Interactive uncertainty allocation and tradeoff for early-stage design of complex systems. AIAA Journal, 58(3)
- Chen X, Molina-Cristobal A, Guenov MD & Riaz A. (2018). Efficient method for variance-based sensitivity analysis. Reliability Engineering & System Safety, 181
- Guenov MD, Chen X, Molina-Cristobal A, Riaz A & van Heerden ASJ. (2018). Margin allocation and trade-off in complex systems design and optimization. AIAA Journal, 56(7)