一、基本情况

姓名：涂劲之

性别：男

学历学位：博士

职称：讲师/硕导

研究方向：地质灾害防治、人工智能、计算力学

电子邮箱：tujingzhi@csust.edu.cn

二、项目

(1)降雨条件下湘西北红层斜坡地质灾害成灾机理与易发性人工智能预警系统研究

(2)基于人工智能大模型的个人知识库问答系统开发

三、代表性论文

1. Jingzhi Tu; Chun Liu; Pian. Qi. Physics-informed Neural Network Integrating PointNet-based Adaptive Refinement for Investigating Crack Propagation in Industrial Applications. IEEE Transactions on Industrial Informatics. 19(2): 2210-2218 (2023). (IF=12.3，中科院一区)

2. Jingzhi Tu; Nengxiong Xu; Gang Mei. A peridynamics modeling approach for pre-cracked rock cracking processes under impact by integrating Drucker-Prager plasticity model and efficient contact model. Journal of Rock Mechanics and Geotechnical Engineering. PP: 1-20 (2025). (IF=9.4，中科院一区)

3. Jingzhi Tu; Gang Mei; Francesco Piccialli. An Improved Nyström Spectral Graph Clustering Using k-core Decomposition as a Sampling Strategy for Large Networks. Journal of King Saud University - Computer and Information Sciences. 34(6): 3673-3684 (2022). (IF=6.9，中科院二区)

4. Jingzhi Tu; Gang Mei; Francesco Piccialli. An Efficient Deep Learning Approach Using Improved Generative Adversarial Networks for Incomplete Information Completion of Self-driving Vehicles. Journal of Grid Computing. 20, 21 (2022). (IF=5.5，中科院二区)

5. Jingzhi Tu; Gang Mei; Zhengjing Ma; Francesco Piccialli. SWCGAN: Generative Adversarial Network Combining Swin Transformer and CNN for Remote Sensing Image Super-Resolution. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15: 5662-5673 (2022). (IF=5.5，中科院二区)

欢迎有一定编程基础，或对于人工智能与工程软件开发感兴趣的同学联系，在新领域一起研究探讨。