Staff profile

Maziyar Bahri is a Marie Skłodowska-Curie Postdoctoral Fellow under the PIMEX Fellowship in the Department of Engineering at Durham University. His research focuses on the integration of numerical modelling, artificial intelligence, and physics-informed machine learning for underground excavation, geotechnical engineering, and infrastructure monitoring.Maziyar has a background in mining engineering, rock mechanics, and geotechnical engineering. He obtained his Bachelor’s and Master’s degrees in Mining Engineering from Isfahan University of Technology, Iran, before completing his PhD in Building Structure and Geotechnical Engineering at the University of Seville, Spain. His doctoral research investigated the relationship between settlements and Earth Pressure Balance tunnel performance using numerical methods and artificial intelligence.During his PhD, Maziyar developed FLAC3D-based numerical models and machine learning/deep learning approaches to predict surface displacement caused by mechanized tunnelling. He was also a visiting scholar at the Colorado School of Mines, where he worked on data science applications for geotechnical problems, including large-scale time-series and spatiotemporal datasets.His broader research interests include tunnelling-induced ground movements, geohazard modelling, digital twins, spatiotemporal deep learning, and physics-informed machine learning for underground infrastructure.

• Underground Excavation
• Geotechnical Engineering
• Mining Engineering
• Rock Mechanics
• Tunnel-Induced Ground Movement
• Numerical Modelling
• Artificial Intelligence in Geotechnics
• Physics-Informed Machine Learning
• Digital Twins
• Geohazard Modelling