Saeid Ekraminia is a civil and geotechnical engineer specializing in infrastructure resilience and asset deterioration modelling. Building upon a good foundation in experimental soil-structure interaction and the structural design of steel and concrete assets, his current research investigates the complex hydro-mechanical effects of climate change on critical infrastructure. Based at the University of Southampton, his work specifically targets how weather-driven parameters, such as rainfall and temperature extremes, impact regional slope stability and railway earthworks.

By integrating advanced statistical models, maximum likelihood estimation, and machine learning pipelines, Saeid develops actionable frameworks that allow infrastructure managers to link climate projections directly to failure probabilities using Markov chains. He works extensively with high-resolution data from major industry partners, including Network Rail and the British Geological Survey, ensuring his methodologies are directly applicable to the operational management of the UK's railway earthworks.

Academic Qualifications

• PhD in Geotechnical and Geoenvironmental Engineering, University of Southampton, UK (Jan 2025 – Expected Jan 2029).

• MEng in Geotechnical and Geoenvironmental Engineering, University of Tabriz, Iran (2018 – 2021).

• BEng in Civil Engineering, University of Tabriz, Iran (2012 – 2017).

Latest Publications

• Teng, F., Ekraminia, S. S., Zarei, A., & Li, Y. (2026). Remote sensing-based landslide prediction and risk assessment using a hybrid CNN–LSTM deep learning model. Scientific Reports.

• Ghassemi, S., Ekraminia, S. S., Hajialilue-Bonab, M., Tohidvand, H. R., et al. (2025). Innovative insights into micropile seismic response: Shaking table tests reveal critical dependencies and liquefaction mitigation. Bulletin of Engineering Geology and the Environment, 84(4), 206.

• Ekraminia, S. S., Hajialilue Bonab, M., Ghassemi, S., & Derakhshani, R. (2023). Experimental study on seismic response of underground tunnel–soil–piled structure interaction using shaking table in loose sand. Buildings, 13(10), 2482.