Staff profile
Overview
https://apps.dur.ac.uk/biography/image/5137
Dr Mao Ouyang
Post Doctoral Research Associate - Solid Mechanics and Structures Node
| Affiliation |
|---|
| Post Doctoral Research Associate - Solid Mechanics and Structures Node in the Department of Engineering |
Publications
Conference Paper
- Reduced Order Models for geotechnical predictionsOuyang, M., Petalas, A., Coombs, W., Augarde, C., Alagha, A., Knappett, J., & Brown, M. (2026). Reduced Order Models for geotechnical predictions. In Proceedings of the 21st International Conference on Soil Mechanics and Geotechnical Engineering. https://doi.org/10.53243/ICSMGE2026-596
- Data-driven reduced order models for multi-dimensional dataOuyang, M., Augarde, C., Coombs, W., Petalas, A., Knappett, J., Brown, M., & Alagha, A. (2026, April 9 – 2026, April 10). Data-driven reduced order models for multi-dimensional data [Conference paper]. Presented at UK Association for Computational Mechanics Conference (UKACM2026), Liverpool, UK.
- Developing Efficient Data-driven Predictive Tools for Geotechnics. Presented as the 18th International Conference on Computational PlasticityOuyang, M., Petalas, A., Coombs, W., & Augarde, C. (2025, September 2). Developing Efficient Data-driven Predictive Tools for Geotechnics. Presented as the 18th International Conference on Computational Plasticity [Conference abstract]. Presented at 18th International Conference on Computational Plasticity (COMPLAS2025), Barcelona, Spain.
Journal Article
- A reduced order model framework suitable for geotechnical problemsOuyang, M., Augarde, C., Coombs, W., Petalas, A., Knappett, J., Brown, M., & Alagha, A. (in press). A reduced order model framework suitable for geotechnical problems. Acta Geotechnica.
- Finite Element Bayesian Inference Using Dual Ensemble Kalman Filters for Uncertainty Reduction in Geotechnical ModelsAugarde, C., Ouyang, M., Coombs, W., Petalas, A., & Alagha, A. (2026). Finite Element Bayesian Inference Using Dual Ensemble Kalman Filters for Uncertainty Reduction in Geotechnical Models. Geotechnical and Geological Engineering, 44, Article 332. https://doi.org/10.1007/s10706-026-03831-1
Presentation
- Improved Inference of Soil Behaviour and Model Parameters In Geotechnics Using Bayesian MethodsOuyang, M., Augarde, C., Coombs, W., Petalas, A., Knappett, J., Brown, M. J., & Alagha, A. (2025, April 23 – 2025, April 25). Improved Inference of Soil Behaviour and Model Parameters In Geotechnics Using Bayesian Methods. Presented at UK Association for Computational Mechanics Conference (UKACM2025), London, UK.
Supervision students
Arthur Chai
Research Postgraduate – Solid Mechanics and Structures Node