教授(研究员)

COLLEGE PROFILE
张立茂

时间:2022-02-17 浏览次数:


Zhang Limao

Professor

E-mail: zlm@hust.edu.cn

Academic Areas: Smart Construction and Engineering Management

Research Interests: Artificial Intelligence; Construction Automation; Tunnel Excavation; Urban Resilience


Academic Degrees

Ph.D. in Construction Management, 2014, Huazhong University of Science and Technology, China

Master in Construction Management, 2012, Huazhong University of Science and Technology, China

Bachelor in Construction Management, 2009, Huazhong University of Science and Technology, China


Professional Experience

Professor, School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, China (2022-present)

Assistant Professor, School of Civil and Environmental Engineering, Nanyang Technological University, Singapore (2017-2021)


邮箱:zlm@hust.edu.cn
地址:华中科技大学西六楼407


1. 个人简介

张立茂博士,201412月毕业于华中科技大学,获博士学位,2017年至2021年曾在新加坡南洋理工大学(NTU)土木与环境工程学院担任助理教授,20221月起正式加入华中科技大学土木与水利工程学院担任教授博导。国家海外高层次人才计划入选者,担任国际权威期刊Automation in Construction(中科院一区TOP)编委。研究成果以第一或通讯作者在IEEE Transactions on Fuzzy Systems, Automation in Construction, Reliability Engineering and System Safety, Computer-Aided Civil and Infrastructure Engineering等权威期刊发表SCI论文90多篇,5篇论文入选“ESI高被引论文1篇论文入选“ESI热点论文


2. 研究方向

工程信息化、隧道工程防灾减灾、人工智能、数字孪生、城市韧性


3. 科研工作

围绕土木工程与管理中的防灾减灾问题,结合大规模数据的人工智能建模与知识挖掘,从设计、施工、运营等多个维度对工程灾害风险进行精准测量预测与防控。近年来,作为第一或共同负责人主持承担新加坡教育部、国家研究基金会等多个科研项目,曾以骨干成员参与多项国家自然科学基金面上项目。研究成果在国际上有一定的影响,其论文在Scopus严格他引1800多次,在Scopus上排除自引的H因子为252021年底)。主编中英著作各1本,撰写乔治亚州运输部有关防控报告2本,获国家授权发明专利4项。已指导博士生10人,博士后4人。

长期招收计算机、自动化控制、隧道工程等背景的博士及硕士研究生。此外,课题组招收相关方向的博士后和科研助理,待遇优厚,诚邀海内外青年学者加盟!联系邮箱:zlm@hust.edu.cn. 地址:华中科技大学西六楼407


Selected Publications 近几年部分代表作

1. Zhang, G., Pan, Y., & Zhang, L*.  (2022). Deep learning for detecting building façade elements from images considering prior knowledge. Automation in Construction, 133, 104016.

2. Guo, K., & Zhang, L*. (2022). Simulation-based passenger evacuation optimization in metro stations considering multi-objectives. Automation in Construction, 133, 104010.

3. Chew, A. W. Z., Ji, A., & Zhang, L*. (2022). Large-scale 3D point-cloud semantic segmentation of urban and rural scenes using data volume decomposition coupled with pipeline parallelism. Automation in Construction, 133, 103995.

4. Pan, Y., & Zhang, L*. (2022). Dual attention deep learning network for automatic steel surface defect segmentation. Computer‐Aided Civil and Infrastructure Engineering.

5. Zhang, L. *, Zhang, Y., Li, H. X., & Lei, Z. (2021). Estimating long-term impacts of tunnel infrastructure development on urban sustainability using granular computing. Applied Soft Computing, 113, 107932.

6. Fu, X., & Zhang, L.* (2021). Spatio-temporal feature fusion for real-time prediction of TBM operating parameters: A deep learning approach. Automation in Construction, 132, 103937.

7. Chen, H., Chen, B., Zhang, L.*, & Li, H. X. (2021). Vulnerability modeling, assessment, and improvement in urban metro systems: A system dynamics approach. Sustainable Cities and Society, 103329.

8. Zhang, L.*, & Lin, P. (2021). Multi-objective optimization for limiting tunnel-induced damages considering uncertainties. Reliability Engineering & System Safety, 216, 107945.

9. Pan, Y., & Zhang, L.* (2021). Automated process discovery from event logs in BIM construction projects. Automation in Construction, 127, 103713.

10. Chang, L., Zhang, L.*, & Xu, X. (2021). Correlation-oriented complex system structural risk assessment using Copula and belief rule base. Information Sciences, 564, 220-236.

11. Guo, K., & Zhang, L.* (2021). Multi-source information fusion for safety risk assessment in underground tunnels. Knowledge-Based Systems, 107210.

12. Chen, W., & Zhang, L.* (2021). Resilience assessment of regional areas against earthquakes using multi-source information fusion. Reliability Engineering & System Safety, 107833.

13. Zhang, L.*, Wang, Y., & Wu, X. (2021). Cluster-based information fusion for probabilistic risk analysis in complex projects under uncertainty. Applied Soft Computing, 104, 107189.

14. Pan, Y., & Zhang, L*. (2021). A BIM-data mining integrated digital twin framework for advanced project management. Automation in Construction, 124, 103564.

15. Pan, Y., & Zhang, L*. (2021). Roles of artificial intelligence in construction engineering and management: A critical review and future trends. Automation in Construction, 122, 103517.

16. Feng, L., & Zhang, L*. (2021). Assessment of tunnel face stability subjected to an adjacent tunnel. Reliability Engineering & System Safety, 205, 107228.

17. Pan, Y., Zhang, L. *, Li, Z., & Ding, L. (2019). Improved fuzzy Bayesian network-based risk analysis with interval-valued fuzzy sets and D–S evidence theory. IEEE Transactions on Fuzzy Systems, 28(9), 2063-2077.

18. Pan, Y., Zhang, L. *, Wu, X., & Skibniewski, M. J. (2020). Multi-classifier information fusion in risk analysis. Information Fusion, 60, 121-136.

* Corresponding author



上一篇:吴贤国
下一篇:赵挺生

地址:湖北省武汉市洪山区珞喻路1037号西六楼 

邮编:430074  电话:027-87541954 

领导邮箱:sche@hust.edu.cn
© 2008-2020 华中科技大学土木与水利工程学院 All rights reserved