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，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；      
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。      
Cell Reports Physical Science、Earth Surface Processes and Landforms等多个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15篇(ESI-HCP /Hot 1 篇，Top期刊2篇)，申请发明专利3项，获重庆市科技进步三等奖1项。      
主要SCI/EI论文：      
1. 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)      
2. 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)      
3. 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)      
4. 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)      
5. 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)      
6. 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)      
7. Landslide susceptibility–oriented suitability evaluation of construction land in mountainous areas, Forests, 2022, Doi: 10.3390/f13101621. (SCI)      
8. Rockfall susceptibility mapping using XGBoost model by hybrid optimized factor screening and hyperparameter, Geocarto International, 2022, Doi: 10.1080/10106049.2022.2120547. (SCI)      
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)      
10. 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)      
11. 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)      
12. 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)      
13. Assessment methods of failure probability on gas pipelines, Acta Petrolei Sinica, 2010, (EI)      
14. 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)      
15. 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