An automatic parameterization tool for the hardening soil model
aDepartment of Building and Real Estate, Faculty of Construction and Environment, The Hong Kong Polytechnic University, Hung Hom, China
bStructural Engineering Department, Faculty of Engineering, Mansoura University, Mansoura, 35516, Egypt
cSchool of Architecture, Building and Civil Engineering, Loughborough University, Loughborough, LE11 3TU, UK
* Corresponding author. Department of Building and Real Estate, Faculty of Construction and Environment, The Hong Kong Polytechnic University, Hung Hom, China.
E-mail addresses:
kyrillos.ebrahim@connect.polyu.hk (K. Ebrahim)
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Kyrillos Ebrahim earned a BSc degree in Civil Engineering (2017) with first-class honors and an MSc degree in Structural Engineering (2022) from Mansoura University, Egypt. From 2018 to 2023, he worked at Mansoura University's Structural Engineering Department, serving as a Research Assistant, Quality Manager, and Senior Geotechnical Engineer, and contributed to the lab's ISO/IEC 17025:2017 accreditation process. He is currently a PhD candidate at the Department of Building and Real Estate (BRE) at the Hong Kong Polytechnic University and is a visiting research exchange student at Loughborough University in the UK. His research encompasses deep learning applications in geotechnical engineering, landslide prediction, soil-structure interactions, and numerical analysis. He is an alumnus of the LARAM International School on Landslide Risk Management (2025).
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