Mohamed Shahin

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Liang ChengJiangsu University/Curtin UniversityVerified email at Curtin.edu.au
Mark JaksaEmeritus Professor of Geotechnical Engineering, University of Adelaide, AustraliaVerified email at adelaide.edu.au
Holger R MaierProfessor, School of Civil, Environmental and Mining Engineering, The University of AdelaideVerified email at adelaide.edu.au
Ralf Cord-RuwischBioFilmTech Pty. Ltd, Ex Murdoch UniversityVerified email at murdoch.edu.au
Ali KarrechUniversity of Western AustraliaVerified email at uwa.edu.au
Mostafa A. IsmailPrince Sultan UniversityVerified email at psu.edu.sa
Megan WalskeCurtin UniversityVerified email at curtin.edu.au
Md. Abu SayeedCurtin UniversityVerified email at postgrad.curtin.edu.au
Cholachat RujikiatkamjornTransport Research Centre, University of Technology SydneyVerified email at uts.edu.au
Prabir SarkerProfessor in Civil EngineeringVerified email at curtin.edu.au
Jian ChuPresident's Chair in Civil Engineering, Nanyang Technological UniversityVerified email at ntu.edu.sg
Hadi KhabbazProf of Geotechnical Engineering, University of Technology SydneyVerified email at uts.edu.au
David W AireyProfessor of Civil Engineering, University of SydneyVerified email at sydney.edu.au
Jayantha KodikaraProfessor, Department of Civil Engineering, Director SPARC Hub (www.sparchub.org.au)Verified email at monash.edu
Dr Sanjay Kumar ShuklaEdith Cowan UniversityVerified email at ecu.edu.au
Sina Kazemian, PhD (Geotech), CPEn...Associate Prof. of Payame Noor University of IranVerified email at pnum.ac.ir
Donovan LiumGeotechnical Engineer (Open-Pit) at Consmin, PhD, MIEAust, CPEng, NERVerified email at consminerals.com.au

Mohamed Shahin

Professor of Geotechnical Engineering, Curtin University, Australia

Verified email at curtin.edu.au - Homepage

Geotechnical Engineering


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Cementation of sand soil by microbially induced calcite precipitation at various degrees of saturation L Cheng, R Cord-Ruwisch, MA Shahin Canadian Geotechnical Journal 50 (1), 1-10, 2013	764	2013
Artificial neural network applications in geotechnical engineering MA Shahin, MB Jaksa, HR Maier Australian geomechanics 36 (1), 49-62, 2001	577	2001
State-of-the-art review of biocementation by microbially induced calcite precipitation (MICP) for soil stabilization D Mujah, MA Shahin, L Cheng Geomicrobiology Journal 34 (6), 524-537, 2017	468	2017
Predicting settlement of shallow foundations using neural networks MA Shahin, HR Maier, MB Jaksa Journal of Geotechnical and Geoenvironmental Engineering 128 (9), 785-793, 2002	452	2002
Data division for developing neural networks applied to geotechnical engineering MA Shahin, HR Maier, MB Jaksa journal of Computing in Civil Engineering 18 (2), 105-114, 2004	409	2004
Influence of key environmental conditions on microbially induced cementation for soil stabilization L Cheng, MA Shahin, D Mujah Journal of Geotechnical and Geoenvironmental Engineering 143 (1), 04016083, 2017	351	2017
Bio-cementation of sandy soil using microbially induced carbonate precipitation for marine environments L Cheng, MA Shahin, R Cord-Ruwisch Géotechnique 64 (12), 1010-1013, 2014	259	2014
State of the art of artificial neural networks in geotechnical engineering MA Shahin, MB Jaksa, HR Maier Electronic Journal of Geotechnical Engineering 8 (1), 1-26, 2008	252	2008
Soil bio-cementation using a new one-phase low-pH injection method L Cheng, MA Shahin, J Chu Acta Geotechnica 14, 615-626, 2019	234	2019
State-of-the-art review of some artificial intelligence applications in pile foundations MA Shahin Geoscience Frontiers 7 (1), 33-44, 2016	230	2016
Recent advances and future challenges for artificial neural systems in geotechnical engineering applications MA Shahin, MB Jaksa, HR Maier Advances in Artificial Neural Systems 2009 (1), 308239, 2009	179	2009
Utilization of lime for stabilizing soft clay soil of high organic content MA Sakr, MA Shahin, YM Metwally Geotechnical and Geological Engineering 27, 105-113, 2009	148	2009
Microstructural and geomechanical study on biocemented sand for optimization of MICP process D Mujah, L Cheng, MA Shahin Journal of Materials in Civil Engineering 31 (4), 04019025, 2019	142	2019
Intelligent computing for modeling axial capacity of pile foundations MA Shahin Canadian Geotechnical Journal 47 (2), 230-243, 2010	137	2010
Urease active bioslurry: a novel soil improvement approach based on microbially induced carbonate precipitation L Cheng, MA Shahin Canadian Geotechnical Journal 53 (9), 1376-1385, 2016	129	2016
Three-dimensional numerical modelling of ballasted railway track foundations for high-speed trains with special reference to critical speed MA Sayeed, MA Shahin Transportation Geotechnics 6, 55-65, 2016	116	2016
Artificial neural network based settlement prediction formula for shallow foundations on granular soils MA Shahin, MB Jaksa, HR Maier Australian Geomechanics: Journal and News of the Australian Geomechanics …, 2002	113	2002
Soil stabilisation by microbial-induced calcite precipitation (MICP): investigation into some physical and environmental aspects L Cheng, MA Shahin, R Cord-Ruwisch, M Addis, T Hartanto, C Elms 7th international congress on environmental geotechnics 64 (12), 1105-1112, 2014	110	2014
Artificial intelligence in geotechnical engineering: applications, modeling aspects, and future directions MA Shahin Metaheuristics in water, geotechnical and transport engineering 169204, 2013	105	2013
A review on methods for liberating lithium from pegmatities A Karrech, MR Azadi, M Elchalakani, MA Shahin, AC Seibi Minerals Engineering 145, 106085, 2020	102	2020

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