Rate My Professor Mohamed Shahin

Shahin's research focuses on ground improvement methods including bio-cementation through microbially induced calcite precipitation, geopolymer stabilisation, and soft clay consolidation; computational geomechanics encompassing finite element methods, artificial intelligence, and stochastic reliability analysis; and railway track geotechnology, particularly the behavior of track foundations under moving loads. He has produced over 211 publications, including seminal papers such as 'Artificial Neural Network Applications in Geotechnical Engineering' (2001), 'Predicting Settlement of Shallow Foundations using Neural Networks' (2002), 'Cementation of sand soil by microbially induced calcite precipitation at various degrees of saturation' (2013), and 'State-of-the-art review of biocementation by microbially induced calcite precipitation (MICP) for soil stabilization' (2016), as well as edited volumes like 'Advances in Computational Geomechanics' (2026). His scholarship has attracted over 9,396 citations. Shahin is a Fellow and Chartered Professional of Engineers Australia and a Fellow of the American Society of Civil Engineers. He received the 2025 Curtin Senior Researcher of the Year Award, the Geosciences 2025 Editor of Distinction Award, and the 2011 Early Career Vice-Chancellor Award for Innovation in Teaching at Curtin University. He serves as Chief Editor for the Geomechanics Section of Geosciences (MDPI) and on the editorial boards of the Canadian Geotechnical Journal and Georisk.