2018年在南京航空航天大学获得博士学位。一直从事复合材料结构的损伤检测、评估、建模和预测工作，同时也探索新型人工智能算法在传统工程领域的应用，参与国家及省部级项目10余项，承担国家自然科学基金青年项目等。2016年赴英国布里斯托大学，Bristol Composites Institute(ACCIS)联合培养1年。迄今已发表期刊论文30余篇，其中以第一/通讯作者发表SCI收录论文20余篇，论文主要集中于Compos. Sci. Tech., Composites Part A/B, Compos. Struc.等高水平期刊，他引500余次。参与国际会议4次，被ISTP收录会议论文1篇。

代表性成果：

[1]Huang, Chun, Chongcong Tao*, Hongli Ji*, and Jinhao Qiu. "Impact time history reconstruction using dynamic weighted graph neural network under sensor fault situations." Structural Health Monitoring (2025): 14759217241313177.

[2] Cen, Lingyao, Chongcong Tao*, Chao Zhang*, Hongli Ji, and Jinhao Qiu. "Fatigue life prediction for CFRP laminates using multi-mode Lamb wave velocity and Bayesian model selection." NDT & E International (2025): 103326.

[3] Tao Chongcong, Zhang Chao*, Ji Hongli, Qiu Jinhao*; Reconstruction and prediction of Mode-I cohesive law using artificial neural network, Composites Science and Technology, 2024, 256:110755.

[4] Tao Chongcong, Li Qian, Zhang Chao*, Ji Hongli, Qiu Jinhao*; Application of neural fatigue cohesive element to R-DCB model with in-situ training strategy, Engineering Fracture Mechanics, 2024, 306:110213.

[5] Qiu Yuqing, Ji Hongli*, Tao Chongcong*, Qiu Jinhao, Research on the influence of impact damage on force identification for composite material, Composite Structures, 2024, 118595.

[6] Tao C, Zhang C, Ji H, et al. A Paris-law-informed neural fatigue cohesive model and its application to open-hole composite laminates[J], International Journal of Solids and Structures, 2023, 112158.

[7] Xu Y, Tao C, Zhang C, et al. Rapid and visualized residual strength prediction of Scarf-repaired laminates using hierarchical surrogate model[J], Composite Structures, 2023, 116597.

[8] Tao C, Zhang C, Ji H, et al. Neural cohesive model for delamination simulation in composite laminates under cyclic loadings[J], International Journal of Fatigue, 2022, 107123.

[9] Cen L, Tao C, Zhang C, et al. A dynamic criterion for failure probability prediction of GFRP laminates using Lamb wave velocity with improved accuracy and consistency[J], Composite Structures, 2022, 115578.

[10] Tao C, Zhang C, Ji H, et al. Fatigue Failure probability prediction of delamination under cyclic loading in composite laminates using cohesive interface elements[J]. Engineering Fracture Mechanics, 2021, 108064.

2012.9 -- 2018.6
南京航空航天大学       工程力学       博士研究生毕业       工学博士学位

2008.9 -- 2012.7
西北工业大学       工程力学       大学本科毕业       工学学士学位

2005.9 -- 2008.6
绍兴市第一中学       普通高中毕业       无学位