职称：讲师
办公地址：工东304
电子邮箱：khalid@stu.edu.cn
研究专长：
1.开发人工智能技术
2.隧道开挖和深挖
3.建筑和建材
4.环境污染
简介: Elbaz的研究重点是开发和应用机器和深度学习技术以及启发式优化算法，以解决和调整与智能建筑和基础设施系统相关的问题。 在精细层面，他开发了一些计算模型来解决工程问题，以支持可持续和有弹性的基础设施、隧道、深挖、环境污染、建筑和建筑材料。
教育经历：
(1) 2015-09至2019-09,上海交通大学,土木工程系,博士
(2) 2009-10至2013-10,开罗大学,土木工程系,硕士
(3) 2003-09至2008-06,开罗,土木工程系,学士
工作经历：
2022年06月至今:云顶yd2223线路检测土木与环境工程系，讲师
2021年10月-2022年06月:MIT大学，讲师.
2019年10月-2021年10月:云顶yd2223线路检测土木与环境工程系，博士后研究员.
2018年02月-2018年05月:中铁十六局集团有限公司城际铁路（广佛）隧道工程,外国专家.
2009年10月-2014年09月:高等工程学院。 高级工程师.
赞助研究项目：
(课题名称：盾构机性能控制)编号：No. 5221101449；2023.01~2024.12.国家自然科学基金国际科学家研究基金。
(课题名称：建筑和建筑技术)编号：NTF22033-2022; 2023.01~2025.12. 云顶yd2223线路检测新教员科研启动基金。
(课题名称：砂土岩溶复合地层中盾构施工塌陷灾害的突发机制研究).编号：No. 41672259；2017.01~2020.12.经费来源:国家自然科学基金委员会,面上项目。
刊物：
Elbaz, K.,Zhou, A., Shen, SL. (2023). Deep reinforcement learning approach to optimize the driving performance of shield tunnelling machines.Tunnelling and Underground Space Technology136 (2023) 105104. https://doi.org/10.1016/j.tust.2023.105104.
Elbaz, K.,Hoteit, E., Shaban, W.M., Shen, SL*. (2023). Spatiotemporal air quality forecasting and health risk assessment over smart city of NEOM.Chemosphere.313 (2023) 137636.
Elbaz, K.,Tan, Y., Zhou, A., Shen, SL*. 2022. Deep learning analysis for energy consumption of shield tunneling machine drive system.Tunnelling and Underground Space Technology. 123 (2022) 104405.https://doi.org/10.1016/j.tust.2022.104405.
Elbaz, K.;Shen, S.L.; Zhou, A.N.; Yin, Z.Y.; and Lyu, H.M. (2021). Prediction of disc cutter life during shield tunneling with AI via incorporation of genetic algorithm into GMDH-type neural network.Engineering, 7(2), 238-251.https://doi.org/10.1016/j.eng.2020.02.016.
Shen, SL.,Elbaz, K.*,Shaban, WM., Zhou, A. 2022. Real-time prediction of shield moving trajectory during tunnelling.Acta Geotechnica. https://doi.org/10.1007/s11440-022-01461-4.
Elbaz, K.;Shen, S.L.;Sun, W.J.; Yin, Z.Y.; Zhou, A.N. (2020). Prediction model of shield performance during tunneling via incorporating improved Particle Swarm Optimization into ANFIS.IEEE Access, 8(1), 39659-39671, doi: 10.1109/ACCESS.2020.2974058.
Shaban, W.M.,Elbaz, K*.,Yang, J., Shen, S.L. 2021. A multi-objective optimization algorithm for forecasting the compressive strength of RAC with pozzolanic materials.Journal of Cleaner Production, 327, 129355.https://doi.org/10.1016/j.jclepro.2021.129355.
Shaban, W., M.,Elbaz, K.*,Yang, J., Skariah, B., Shen, X., Li, L., Du, Y., Xie, J., Li, L., (2021). Effect of pozzolan slurries on recycled aggregate concrete: Mechanical and durability performance.Construction and building materials, 276, 121940. DOI: 10.1016/j.conbuildmat.2020.121940.
Shaban, W., M., Yang, J.,Elbaz, K*., Xie, J., Li, L., (2021). Fuzzy-metaheuristic ensembles for predicting the compressive strength of brick aggregate concrete.Resources conservation recycling.169, 2021, 105443.https://doi.org/10.1016/j.resconrec.2021.105443
Shaban, W.M.,Elbaz, K*.,Amin, M., Ashour, A.G. 2022. A new systematic firefly algorithm for forecasting the durability of reinforced recycled aggregate concrete.Frontiers of Structural and Civil Engineering.https://doi.org/10.1007/s11709-022-0801-9.
Iqbal, M.,Elbaz, K.,Zhang, D., Hu, L., Jalal, F.E. 2022. Prediction of residual tensile strength of glass fiber reinforced polymer bars in harsh alkaline concrete environment using fuzzy metaheuristic models.Journal of Ocean Engineering and Science, 2468-0133,https://doi.org/10.1016/j.joes.2022.03.011.
Ashour, A.G., Shaban, W.M.,Elbaz, K*.2022.Physical and Mechanical Properties of Lime and Wood Ash Plastering Mortars.Lecture notes in civil engineering.https://doi.org/10.1007/978-981-16-9963-4_15
Abbas, M.,Elbaz, K*.,Shen, SL., Chen, Jun. 2021. Earthquake effects on civil engineering structures and perspective mitigation solutions: a review. Arabian Journal of Geosciences.14:1350. https://doi.org/10.1007/s12517-021-07664-5
Cai, H., Chen, Y., Xu, L.,Elbaz, K.,Zhang, C., (2020). Intelligent building system for 3D, construction of complex brick models. IEEE Access, 8, 182506-182516. DOI: 10.1109/ACCESS.2020.3027807
Zhang, N.; Zheng, Q.;Elbaz, K.;Xu, Y.S. (2020). Water inrush hazards in the Chaoyang Tunnel, Guizhou, China: a preliminary investigation. Water, 12(4), 1083;https://doi.org/10.3390/w12041083
Elbaz, K.;Shen, S.L.; Zhou, A.N.; Yin, Z.Y.; and Lyu, H.M. (2020).Data in intelligent approach for estimation of disc cutter life using hybrid metaheuristic algorithm. Data in Brief 33(106479). DOI:10.1016/j.dib.2020.106479.
Yang, J.; Shaban, W.M.,Elbaz, K.;Skariah, B.; Xie, J.; Li, L., (2020). Properties of concrete containing strengthened crushed brick aggregate by pozzolan slurry. Construction and building materials, 247 (2020) 118612. https://doi.org/10.1016/j.conbuildmat.2020.118612
Tan, J.S.;Elbaz, K.;*Wang,Z.F.; Shen, S.; Chen, J. (2020). Lesson Learn from Bridge Collapse: A View of Sustainable Management. Sustainability, 12, 1205. https://doi.org/10.3390/su12031205
Elbaz, K.,Shen, S.L., Zhou, A.N., Yuan, D.J., Xu, Y.S. (2019). Optimization of EPB shield performance with adaptive neuro-fuzzy inference system and genetic algorithm, Applied Sciences, 2019, 9(4), 780;https://doi.org/10.3390/app9040780.
Elbaz, K.,Shen, S.L., Tan, Y., & Cheng, W.C. (2018). Investigation into performance of deep excavation in sand covered karst: A case report. Soils and Foundations, 58(4), 1042–1058
Elbaz, K.,Shen, S.L., Cheng, W.C., & Arulrajah, A. (2018). Cutter-disc consumption during earth-pressure-balance tunnelling in mixed strata. Proceedings of the Institution of Civil Engineers: Geotechnical Engineering, 171(4): 363–376, DOI: 10.1680/jgeen.17.00117. (SCI).
Elbaz, K.,Shen, S.L., Arulrajah, A., & Horpibulsuk, S. (2016). Geohazards induced by anthropic activities of geoconstruction: a review of recent failure cases. Arabian Journal of Geosciences, 9(18).https://doi.org/10.1007/s12517-016-2740-z
Elbaz K,Shen S.L, Cheng W.C, Arulrajah A and Shirlaw JN (2018). Discussion: cutter-disc consumption during earth pressure balance tunnelling. Proceedings of the Institution of Civil Engineers–Geotechnical Engineering, 171(6): 559–561, https://doi.org/10.1680/jgeen.18.00129
Elhakim, A. F.,Elbaz, K.,& Amer, M. I. (2014). The use of light weight deflectometer for in situ evaluation of sand degree of compaction, HBRC Journal, 298–307. https://doi.org/10.1016/j.hbrcj.2013.12.003
Elbaz, K.,Shen, S. L., Zhou W (2018) Prediction of the advance rate of EPB tunnel using artificial intelligent methods. The 3rd international conference on transportation infrastructure and materials (ICTAM): Smart and Sustainable Transportation Infrastructure, Tianjin, China, pp 244-254.
Elbaz, K.,Cheng W.C(2017).An Appraisal of EPB Tunnelling Performance in Mixed FaceConditionsand the ChallengesFaced Excavation. 2017, International Workshop on Environment and Geoscience, Xian, China.
Elbaz, K.,Shen, S. L.,Cheng, W. C. (2017).Hazards induced by anthropogenic activities, a lesson learned from recent underground construction works. Proceedings of the International Convention on Civil Engineering 2017 (ICCE2017). Green Technology for Sustainable Infrastructure Development”. Nakhon Ratchasima, Thailand. PP. 126
Elbaz, K.,Shen, S. L.,Zhou, A.N.(2019). Disc-cutter life prediction model during an EPB tunneling in a heterogeneous ground. The 3rd International Conference on Information Technology in Geo-Engineering (3rd ICITG), Guimarães, Portugal.
客座编辑：
客座编辑，Smart Construction and Sustainable Cities.
客座编辑，Applied sciences.
特邀审稿人：
·Geotechnique
·Journal of Measurement
·Scientific Reports
·Journal of Engineering Mechanics
·Soil Science Society of America
·Geotechnique letters
·Measurement
·Journal of Hydrologic engineering
·Canadian Geotechnical Journal
·Computer and Geotechnics
·Ecological Engineering
·Environmental Geotechnics
·Journal of Cleaner production
·Engineering Computations
·Acta Geophysica.
·Frontiers of Mechanical Engineering
·Neural Computing and Applications
·European journal of Soil Science
·Neural Computing and Applications
·Journal of Zhejiang University,
