师资队伍

毕业于原重庆建筑大学燃气工程专业，1999年获供热、供燃气、通风及空调工程硕士学位。2001年起任讲师，2011.7-2012.1 Coventry University访问学者。获律师、房地产估价师、房地产经纪人资格，从事建筑环境与设备工程的教学工作，山地环境燃气输配及燃气工程设计等。

山地环境燃气输配及燃气工程设计；
山地建筑环境与基础设施安全；
Data Science in Civil Engineering。

1.燃气输配与应用
2.燃气工程设计与施工
3.燃气管网设施运行与维护
4.燃气输配与应用课程设计
5.专业认识实习
6.专业综合实习
7.专业毕业实习与毕业设计

中国建筑学会会员。
Energy & Environment Associate Editor。
Cell Reports Physical Science、Earth Surface Processes and Landforms等10余个SCI期刊审稿人。

主持“十四五”国家重点研发计划项目子题1项、重庆市教改项目1项、重庆大学教改项目1项，参与“十三五”国家重点研发计划项目子题等科研项目7项、重庆市教改项目多项。发表论文30余篇，其中EI/SCI论文18篇(通讯8篇，ESI-HCP 2篇，Hot 1 篇，Top期刊4篇)，申请发明专利、软著等知识产权6项，获重庆市科技进步三等奖1项。
主要SCI/EI、一作论文：
20. The spatial-temporal evolution patterns of landslide-oriented resilience in mountainous city: a case study of Chongqing, Journal of Environmental Management 370, 122963. Doi: 10.1016/j.jenvman.2024.122963. (SCI, TOP，通讯)
19. Ecological Security Pattern based on XGBoost-MCR model: A case study of the Three Gorges Reservoir Region, Journal of Cleaner Production 2024, 470, 143252.  (SCI, TOP，通讯)
18. SHAP-PDP hybrid interpretation of decision-making mechanism of machine learning-based landslide susceptibility mapping: A case study at Wushan District, China. The Egyptian Journal of Remote Sensing and Space Sciences 2024, 27 (3): 508-523. Doi: 10.1016/j.ejrs.2024.06.005. (SCI，通讯)
17. Insights into landslide susceptibility in different karst erosion landforms based on interpretable machine learning. Earth Surface Processes and Landforms 2023, ESP5748. https://doi.org/10.1002/esp.5748. (SCI，通讯)
16. Explainable Machine Learning Model for Rockfall Susceptibility Evaluation, Geo-Risk 2023: Developments in Reliability, Risk, and Resilience, 102-110. https://doi.org/10.1061/9780784484982.011. (EI, ASCE)
15. A hybrid machine learning model for landslide-oriented risk assessment of long-distance pipelines, Journal of Environmental Management 2023, 342, 118177. https://doi.org/10.1016/j.jenvman.2023.118177.(Top, SCI，通讯)
14. Landslide Susceptibility Mapping Based on Interpretable Machine Learning from the Perspective of Geomorphological Differentiation. Land. 2023; 12(5):1018. https://doi.org/10.3390/land12051018.(SSCI，ESI)
13. Insights into geospatial heterogeneity of landslide susceptibility based on the SHAP-XGBoost model, Journal of Environmental Management 2023,332, 117357. Doi: 10.1016/j.jenvman.2023.117357 (ESI, Hot, Top, SCI，通讯)
12. Essential insights into decision mechanism of landslide susceptibility mapping based on different machine learning models, Geocarto International, 2022, Doi: 10.1080/10106049.2022.2146763. (SCI)
11. Landslide susceptibility–oriented suitability evaluation of construction land in mountainous areas, Forests, 2022, Doi: 10.3390/f13101621. (SCI，通讯)
10. Rockfall susceptibility mapping using XGBoost model by hybrid optimized factor screening and hyperparameter, Geocarto International, 2022, Doi: 10.1080/10106049.2022.2120547. (SCI，通讯)
9. Improving Geospatial Agreement by Hybrid Optimization in Logistic Regression-Based Landslide Susceptibility Modelling, FRONTIERS IN EARTH SCIENCE, 2021, Doi: 10.3389/feart.2021.713803. (SCI)
8. Hybrid-optimized logistic regression model of landslide susceptibility along mountain highway, Bulletin of Engineering Geology and the Environment, 2021, Doi: 10.1007/s10064-021-02415-y. (SCI/EI)
7. Application and comparison of logistic regression model and neural network model in earthquake-induced landslides susceptibility mapping at mountainous region, China. Geomatics, Natural Hazards and Risk, 2018, Doi: 10.1080/19475705.2018.1451399(SCI/EI)
6. A FDM solving method of large-strain consolidation of multi-layers super soft-soil, Applied Mechanics and Materials, 2011, Doi:10.4028/www.scientific.net/AMM.71-78.1880 (EI/CPCI-S)
5. Assessment methods of failure probability on gas pipelines, Acta Petrolei Sinica, 2010, (EI)
4. An evaluation-management information system of high slope geo-risk for mountainous city based on GIS, 2009 1st International Conference on Information Science and Engineering, ICISE 2009, (EI)
3. 某天燃气储配站场地边坡处治可靠性评价. 岩土力学, 2009.12. Doi: 10.16285/j.rsm.2009.s2.082. (一作)
2. 峡库区灾害环境安全保障浅析. 重庆大学学报（自然科学版）, 2006 (12): 80-83. (一作)
1. Research on briquetting high-sulphur pulverized coal for atmospheric fixed bed gasification, Journal of Chongqing Jianzhu University, 1997, (EI)

2022年重庆市科技进步三等奖1项；
重庆市高等教育学会2023年学术年会优秀论文二等奖；
1999年建设部优秀毕业研究生；
多次获重庆大学先进工作者；
多次获重庆大学工会积极分子等荣誉。

Email: lanaij@cqu.edu.cn
https://orcid.org/0000-0003-0740-7180