（1）面向新型材料/元件/组件多尺度多物理场服役行为的数据驱动计算力学方法，可解释机器学习（X-Machine Learning）及迁移学习方法(Transfer Learning)在数值模拟的应用；（2）面向智能制造（3D打印）的结构优化及多智能体协同全覆盖路径规划CCPP算法研究（与复旦大学、美国西北大学合作）。

发表SCI论文20余篇（以第一/通讯发表SCI论文16篇），主持上海市海外领军人才（青年）项目和上海市浦江人才项目。欢迎热爱科学研究，数理功底扎实，对人工智能及智能系统和力学、复合材料交叉领域感兴趣的同学联系！

1.A Lightweight and Explainable Data-driven Scheme for Fault Detection of Aerospace Sensors，IEEE Transactions on Aerospace and Electronic Systems，under review（2023）

2.Zhao, J., Chen, Z., Tu, J., Zhao, Y*., & Dong, Y. (2022). Application of LSTM Approach for Predicting the Fission Swelling Behavior within a CERCER Composite Fuel. Energies, 15(23), 9053.

3.Zhao, Y., Zhang, Y., Zhang, Y, Dong, Y.*, Ai, J., Robust Fault Detection: An Application to Aircraft Air Data Sensors,  International Journal of Aerospace Engineering 2022.

4.Zhang, Y., Zhao, H., Ma, J., Zhao, Y*., Dong, Y., & Ai, J. (2021). A Deep Neural Network-Based Fault Detection Scheme for Aircraft IMU Sensors. International Journal of Aerospace Engineering, 2021.

5.Yunmei Zhao, Saeed Siri, Bin Feng, David M. Pierce*. Toward Elucidating the Physiological Impacts of Residual Stresses in the Colorectum. Journal of Biomechanical Engineering, 2021,144(1), 011008.

6.Yunmei Zhao, Saeed Siri, Bin Feng, David M. Pierce*, The macro- and micromechanics of the colon and rectum II: Theoretical and Computational Methods, Bioengineering, 2020,7(4), p.152. （Invited Review）

7.Yunmei Zhao, Saeed Siri, Bin Feng, David M. Pierce*, A Computational Model of Mouse Colorectum Capturing Longitudinal and Through-thickness Biomechanical Heterogeneity. Journal of the Mechanical Behavior of Biomedical Materials, 113 (2020): 104127.