Khalid Rassim Mahmood Safar Al-Janabi (Assistant Professor)
PhD in Geotechinical Engineering
Lecturer
Civil -
Engineering
kr_aljanabi@uoanbar.edu.iq
<p><strong>Name: Khalid Rassim Mahmood Al-Janabi</strong></p> <p><strong>Date of Birth: 24-7-1962</strong></p> <p><strong>Religion: Muslim</strong></p> <p><strong>Specialization: Civil Eng. Geotechnical Engineering</strong></p> <p><strong>Position: Teaching Staff</strong></p> <p><strong>Scientific Degree: Assistant Professor</strong></p> <p><strong>Work Address: University of Anbar-College of Engineering-Civil Eng. Dept</strong></p> <p><strong>Email: <a href="mailto:Kr_aljanabi@uoanbar.edu.iq">Kr_aljanabi@uoanbar.edu.iq</a></strong></p> <p><strong><u> Scientific and professional society memberships</u></strong></p> <p><strong>International Society of Soil Mechanics and Geotechnical Engineering -ISSMGE</strong></p> <p><strong>Iraqi Scientific Society of Soil Mechanics and Foundation Engineering -ISSSMFE</strong></p> <p><strong>Iraqi Engineering Association</strong></p> <p><strong>Iraqi Council of Accreditation of Engineering Education-ICAEE </strong></p>
<p><strong> Journal and Conference Publications</strong></p> <p><strong>Al-Mosawe, M.J., and Mahmood, K.R.(1993) “The performance of under-reamed subjected to repeated loading”, proceeding of the first scientific conference - Tikrit University</strong></p> <p><strong>Mahmood, K.R.(2000) “The characteristics of an Iraqi soil under repeated loading”, Journal of Engineering and development-Vol.4 Issue 2</strong></p> <p><strong>Al-Ani Z.N. and Mahmood, K.R.(2000) “Suggestion an application of Expert System for selecting piles driving methods and equipment for Iraqi construction project”, Journal of Engineering and development-Vol.4 Issue 2</strong></p> <p><strong>Mahmood, K.R. and Al-Hadithi A.I.A. (2008) “Modeling of polymer modified-concrete strength with artificial neural networks”, Iraqi Journal of Civil Engineering-Eight year- Issue 10</strong></p> <p><strong>Mahmood, K.R.(2008) “Prediction of ultimate bearing capacity of shallow foundations on cohesionless soils using backpropagation neural networks (BPNN)”, Iraqi Journal of Civil Engineering-Eight year-Issue 12</strong></p> <p><strong>Mahmood, K.R. and Abdul Kareem A.H. (2010) “Nature of Soil-Water Characteristics Curves (SWCC) for Soils from Anbar Governorate” Anbar Journal for Engineering Sciences Vol.3 No.1</strong></p> <p><strong>Mahmood, K.R. and Juneid Aziz (2011) “Using Artificial Neural Networks for Evaluation of Collapse Potential of Some Iraqi Gypseous Soils” Iraqi Journal of Civil Engineering-Vol. 7 No.1</strong></p> <p><strong>Fattah M. Y., Mahmood, K.R., Muhyee M. M., (2011) </strong><strong>“Finite Element Simulation of the Bearing Capacity of an Unsaturated Coarse-Grained Soil” Iraqi Journal of Civil Engineering-Vol.(8) No.1 </strong></p> <p><strong>Mahmood, K.R., Mustafa, A.S. Muhammed A.S. , (2012) “ Application of Artificial Neural Networks to Forecast the Release Water from Haditha Dam” Proceedings of Engineering Conference of Comprehensive Research Theses<em>-</em>Special Issue of Engineering and Development Journal</strong></p> <p><strong>Fattah M. Y., Mahmood, K.R., Muhyee M. M., (2013) “Simulation of Unsaturated Soil Behavior by the Finite Element Method” International Review of Civil Engineering (IRECE) Vol.4 No.1</strong></p> <p><strong>Majeed A.H., Mahmood, K.R., Jepur A.A. (2013) “Simulation of Hyperbolic Stress-Strain Parameters of Soils Using Artificial Neural Networks” proceeding of the 3rd International Conference on Geotechnical Engineering. Tunis</strong></p> <p><strong>Al-Janabi, K.R.M and Abdullah B.M. (2017) “Effect of Inorganic Salt Solution on Some Properties of Compacted Clay Liners”, Journal of Engineering Science & Technology, School of Engineering, Taylor’s University, Vol.12, No.12</strong></p> <p><strong>Al-Janabi, K.R.M and Abdullah B.M. (2017) “Consistency and Compressibility Characteristics of contaminated Compacted Clay liners”, Iraqi Journal of Civil Engineering, Vol 11, No.2</strong></p> <p><strong>Jebur,A.A., Atherton,W., Al Khaddar, R.M., Aljanabi, K.R. (2019) “Performance analysis of an evolutionary LM algorithm to model the load-settlement response of steel piles embedded in sandy soil”, Measurement: Journal of the International Measurement Confederation, <a href="https://www.sciencedirect.com/science/journal/02632241/140/supp/C" title="Go to table of contents for this volume/issue">Vol. 140</a>, PP 622-635</strong></p> <p><strong>Jebur, A. A. et al., "A Novel Artificial Neural Network Scheme for Modelling of Nonlinear Soil Stress-Strain Modulus Exponent," 2018 1st Annual International Conference on Information and Sciences (AiCIS), Fallujah, Iraq, 2018, pp. 62-69.</strong></p> <p><strong><a href="https://www.iasj.net/iasj/search?query=au:%22Huda%20S.%20Abdulwahed%22"><span style="color:#000000">Huda S. Abdulwahed</span></a><span style="color:#000000">, </span><a href="https://www.iasj.net/iasj/search?query=au:%22Khalid.%20R.%20Mahmood%20%22"><span style="color:#000000">Khalid. R. Mahmood</span></a><span style="color:#000000">, </span><a href="https://www.iasj.net/iasj/search?query=au:%22Ahmed%20H.%20AbdulKareem%22"><span style="color:#000000">Ahmed H. AbdulKareem</span></a><span style="color:#000000">,</span> (2021) " Strength and Stiffness of a Geopolymer-treated Clayey Soil for Unpaved Roads" Iraqi Journal of Civil Engineering, 2021, Volume 15, Issue 1, Pages 1-9</strong> </p> <p><strong>Aljanabi, K.R., AL-Azzawi, O.M., "Neural network application in forecasting maximum wall deflection in homogenous clay". Geo-Engineering 12, 29 (2021). https://doi.org/10.1186/s40703-021-00158-z</strong></p> <p><strong>Al-Zubaidy D. S., Aljanabi K. R., Khaled Z. S. “Forecasting the Compressibility Parameters of Gypseous Soil using Artificial Neural Networks” <a href="https://iopscience.iop.org/journal/1755-1315" style="color:blue; text-decoration:underline">IOP Conference Series: Earth and Environmental Science</a>, <a href="https://iopscience.iop.org/volume/1755-1315/961" style="color:blue; text-decoration:underline">Volume 961(1):012019 DOI: 10.1088/1755-1315/961/1/012019</a></strong></p> <p><strong>Al-Zubaidy D. S., Aljanabi K. R., Khaled Z. S. "Prediction of Shear Strength Parameters of Gypseous Soil using Artificial Neural Networks" Journal of Engineering-University of Baghdad 28, 4 (2022) </strong><a href="https://doi.org/10.31026/j.eng.2022.04.03">https://doi.org/10.31026/j.eng.2022.04.03</a></p> <p><strong><a href="https://ajes.uoanbar.edu.iq/?_action=article&au=456529&_au=Mohammed++Hamid" style="color:blue; text-decoration:underline">Hamid</a>, M., <a href="https://ajes.uoanbar.edu.iq/?_action=article&au=456552&_au=Khalid+R.+Aljanabi" style="color:blue; text-decoration:underline"> Aljanabi</a>, K.R.M. and <a href="https://ajes.uoanbar.edu.iq/?_action=article&au=456553&_au=Ayad+S.+Mustafa" style="color:blue; text-decoration:underline"> Mustafa</a>, A.S. “Using water treatment sludge to Improve Geotechnical Engineering Properties of Soils: A Review,” Anbar Journal of Engineering Sciences (2023), 50-65, 14(1) </strong>https//doi.org/<a href="https://doi.org/10.37649/aengs.2023.138350.1041" style="color:blue; text-decoration:underline">10.37649/AENGS.2023.138350.1041</a></p> <p><strong>Aljanabi, K.R.M., Salih, N.B. Using Artificial Neural Networks to predict the Unconfined Compressive Strength of Clayey Soils Stabilized by Various Stabilization Agents. KSCE J Civ Eng (2023). https://doi.org/10.1007/s12205-023-0539-5</strong></p> <p><strong><span style="font-size:12pt"><span style="font-family:"Times New Roman",serif"><span style="font-family:"Helvetica",sans-serif"><span style="color:#1a1a1a">Alaa D. Mamdooh, Khalid R. Aljanabi, Khamis N. Sayl; GIS-based approach for geotechnical mapping: A review. <em><span style="font-family:"Helvetica",sans-serif">AIP Conference Proceedings</span></em> 26 July 2023; 2775 (1): 050004. <a href="https://doi.org/10.1063/5.0141122" style="font-size:inherit; cursor:pointer; color:blue; text-decoration:underline" target="_blank"><span style="color:#0066cc">https://doi.org/10.1063/5.0141122</span></a></span></span></span></span></strong></p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p><strong> </strong></p> <p> </p> <p> </p> <p> </p> <p> </p>
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