Jiang Chen

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Lecturer

Phone:

Email: chenjiang@hust.edu.cn

Academic Areas: Design under Uncertainty, Damage Diagnostics and Failure Prognostics, Uncertainty Quantification, Surrogate Modeling and Optimization

Dr. Chen Jiang is a lecturer in the School of Mechanical Science and Engineering at Huazhong University of Science and Technology, Wuhan, China. Before that, he was a postdoctoral fellow with the Department of Industrial and Manufacturing Systems Engineering at the University of Michigan-Dearborn and the Department of Mechanical Engineering at the Seoul National University. He received his Ph.D. degree from Huazhong University of Science and Technology in 2020 and Bachelor's degree from Hunan University in 2015. His research interests include design under uncertainty, uncertainty quantification, model verification and validation, prognostics and health management. He has published over 40 articles in international referred journals and conference proceedings. His paper has been selected as "Papers of Distinction" in ASME 46th Design Automation Conference, IDETC/CIE. He has won the Reviewer of Distinction award of ASME Journal of Mechanical Design in 2022, the Best Reviewers Award of ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering in 2021.

Academic Degrees

2015.9 – 2020.4 Huazhong University of Science and Technology, Ph.D. in Mechanical Engineering

2011.9 – 2015.6 Hunan University, B. E. in Engineering Mechanics


Professional Experience

2023.7 – Present Lecturer at Huazhong University of Science and Technology, Wuhan, China

2022.4 – 2023.6 Postdoctoral Research Fellow at Seoul National University, Seoul, Korea

2020.2 – 2021.12 Postdoctoral Research Fellow at University of Michigan-Dearborn, Dearborn, USA

2019.8 – 2020.1 Visiting Scholar at University of Michigan-Dearborn, Dearborn, USA

 


Selected Publications

  1. Chen Jiang, Zhen Hu*, Zissimos P Mourelatos, David Gorsich, Paramsothy Jayakumar, Yan Fu, Monica Majcher. Reliability-based robust mission planning of off-road ground vehicle under uncertain and rough terrain environment. IEEE Transactions on automation science and engineering, 2022, 19(2): 1030-1046.

  2. Chen Jiang, Yixuan Liu, Zissimos P Mourelatos, David Gorsich, Yan Fu, Zhen Hu*. Efficient reliability-based mission planning of off-road autonomous ground vehicles using an outcrossing approach. Journal of Mechanical Design, 2022, 144(4): 041703.

  3. Chen Jiang, Zhen Hu*, Yixuan Liu, Zissimos P Mourelatos, David Gorsich, Paramsothy Jayakumar. A sequential calibration and validation framework for uncertainty quantification and reduction. Computer Methods in Applied Mechanics and Engineering, 2020, 368, 113172.

  4. Chen Jiang, Manuel A Vega, Mukesh K Ramancha, Michael D Todd, Joel P Conte, Matthew Parno, Zhen Hu*. Bayesian calibration of multi-level model with unobservable distributed response and application to miter gates. Mechanical Systems and Signal Processing, 2022, 170: 108852.

  5. Chen Jiang, Manuel A Vega, Michael D Todd, Zhen Hu*. Model correction and updating of a stochastic degradation model for failure prognostics of miter gates. Reliability Engineering & System Safety, 2022, 218: 108203.

  6. Zhuo Wang #, Chen Jiang #, Pengwei Liu, Wenhua Yang, Ying Zhao, Mark F Horstemeyer, Long-Qing Chen, Zhen Hu*, Lei Chen*. Uncertainty quantification and reduction in metal additive manufacturing. npj Computational Materials, 2020, 6: 1-10.

  7. Chen Jiang, Yifang Yan, Dapeng Wang, Haobo Qiu*, Liang Gao. Global and local Kriging limit state approximation for time-dependent reliability-based design optimization through wrong-classification probability. Reliability Engineering & System Safety, 2021, 208: 107431.

  8. Chen Jiang, Haobo Qiu*, Liang Gao, Dapeng Wang, Zan Yang, Liming Chen. Real-time estimation error-guided active learning Kriging method for time-dependent reliability analysis. Applied Mathematical Modelling, 2020, 77: 82-98.

  9. Chen Jiang, Haobo Qiu*, Zan Yang, Liming Chen, Liang Gao, Peigen Li. A general failure-pursuing sampling framework for surrogate-based reliability analysis. Reliability Engineering & System Safety, 2019, 183: 47-59.

  10. Chen Jiang, Dapeng Wang, Haobo Qiu*, Liang Gao, Liming Chen, Zan Yang. An active failure-pursuing Kriging modeling method for time-dependent reliability analysis. Mechanical Systems and Signal Processing, 2019, 129: 112-129.

  11. Chen Jiang, Haobo Qiu*, Liang Gao, Xiwen Cai, Peigen Li. An adaptive hybrid single-loop method for reliability-based design optimization using iterative control strategy. Structural and Multidisciplinary Optimization, 2017, 56(6): 1271-1286.

  12. Dapeng Wang, Haobo Qiu*, Liang Gao, Chen Jiang*. A single-loop Kriging coupled with subset simulation for time-dependent reliability analysis. Reliability Engineering & System Safety, 2021, 216: 107931.

  13. Dequan Zhang, Pengfei Zhou, Chen Jiang*, Meide Yang, Xu Han*, Qing Li. A stochastic process discretization method combing active learning Kriging model for efficient time-variant reliability analysis. Computer Methods in Applied Mechanics and Engineering, 2021, 384: 113990.

  14. Zeng Meng, Jingyu Zhao, Chen Jiang*. An efficient semi-analytical extreme value method for time-variant reliability analysis. Structural and Multidisciplinary Optimization, 2021, 64: 1469-1480.

More information can be found in my Google Scholar: https://scholar.google.com/citations?user=ItvuFHoAAAAJ&hl=en


Awards and Honors

 

1. 2022: Reviewers with Distinction Award, Journal of Mechanical Design

2. 2021: Best Reviewers Award, ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering

3. 2020: Papers of Distinction, ASME 46th Design Automation Conference, IDETC/CIE  

 

 

Courses Taught


Centers/Programs