About
I am currently an MSCA Fellow in the Department of Built Environment at Oslomet University. My research interests are in structural engineering, with a focus on deteriorating structures. My research focuses on structural reliability analysis, design optimization, maintenance and repair scheduling of existing structures, modeling degradation such as corrosion and fatigue damage, reuse and recycling, structural resilience and robustness evaluation, and the application of machine learning to engineering problems.
Publications and research
Scientific publications
Chenglu, Hu; Qichi, Le; Dandan, Li;
Ben Seghier, Mohamed El Amine
; Ruizhen, Guo; Qi, Zou
(2024).
In-situ synthesis and performance evaluation of novel color coatings for galvanized steel.
10 p.
Journal of Materials Research and Technology (JMR&T).
Vol. 29.
https://doi.org/10.1016/j.jmrt.2024.01.083
Taiwo, Ridwan; Abdul-Mugis, Yussif;
Ben Seghier, Mohamed El Amine
; Tarek, Zayed
(2024).
Explainable ensemble models for predicting wall thickness loss of water pipes.
Ain Shams Engineering Journal.
https://doi.org/10.1016/j.asej.2024.102630
Taiwo, Ridwan; Tarek, Zayed;
Seghier, Mohamed El Amine Ben
(2024).
Integrated intelligent models for predicting water pipe failure probability.
14 p.
Alexandria Engineering Journal.
Vol. 86.
https://doi.org/10.1016/j.aej.2023.11.047
Hou, Jian; Qichi, Le; Liang, Chen; Yonghui, Jia; Chenglu, Hu;
Seghier, Mohamed El Amine Ben
(2023).
Domination and effect of multi-parameters in direct chill casting based on establishment of thermo model by numerical simulation and experiment.
Journal of Materials Research and Technology (JMR&T).
Vol. 27.
https://doi.org/10.1016/j.jmrt.2023.09.308
Seghier, Mohamed El Amine Ben
; Knudsen, Ole Øystein; Skilbred, Anders Werner Bredvei; Höche, Daniel
(2023).
An intelligent framework for forecasting and investigating corrosion in marine conditions using time sensor data.
10 p.
npj Materials Degradation.
Vol. 7.
https://doi.org/10.1038/s41529-023-00404-y
Han, Ziyue; Li, Xinhong; Zhang, Renren; Yang, Ming;
Seghier, Mohamed El Amine Ben
(2023).
A dynamic condition assessment model of aging subsea pipelines subject to corrosion-fatigue degradation.
9 p.
Applied Ocean Research.
Vol. 139.
https://doi.org/10.1016/j.apor.2023.103717
