蒋琛博士
联系电话:****
  • 所在单位:华中科技大学
  • 所在城市:武汉
  • 邮箱:che****@hust.edu.cn
  • 通讯地址:湖北省武汉市洪山区珞喻路1037号
详细 · 介绍
Expert introduction
蒋琛(Jiang Chen, Lecturer),1993年9月出生,湖北随州人,博士,硕士生导师,入选湖北省海外高层次人才计划。2015年本科毕业于湖南大学工程力学专业,2020年博士毕业于华中科技大学机械工程专业,2019年8月至2023年6月在美国密西根大学、韩国国立首尔大学进行访问交流和博士后研究。2023年7月加入机械科学与工程学院从事教学与科研工作。
       主要从事复杂装备不确定性设计与决策调控方法研究。主持省级自然科学基金项目2项。近年来在ASME J. Mech. Des.、NPJ Comput. Mater.、Mech. Syst. Signal Process.等期刊发表SCI论文30余篇(一作/通讯18篇,其中ESI高被引论文3篇,JCR Q1区论文16篇),SCI他引800余次,谷歌学术累计引用1200余次(H指数21),授权国家发明专利2项。
       入选“全球前2%顶尖科学家榜单”2023年度科学影响力排行榜,获ASME IDETC/CIE 2020会议杰出论文奖、ASME J. Mech. Des.和ASCE-ASME J. Risk Uncertain. Eng. Syst.最佳审稿人奖等。兼任美国机械工程师学会汇刊ASCE-ASME J. Risk Uncertain. Eng. Syst.青年编委和客座编辑、《机械设计》青年编委、ASME IDETC/CIE 2022不确定性设计分会场召集人。

       欢迎机械工程、工业工程、力学、自动化等专业有意愿进行本科生科研实践和继续深造的同学咨询并加入课题组共同成长,将为优秀同学提供国际交流机会。团队长期招聘相关方向的博士后,提供优厚待遇并注重人才的长期发展。

科研项目

[1] 湖北省自然科学基金项目,数据/模型混合驱动的复杂装备时变可靠性分析与优化设计方法研究,2024-2026,主持
[2] 广东省基础与应用基础研究基金粤莞联合基金青年项目,基于不确定机动性能预测模型的全地形无人车路径可通行性评估方法,2023-2026,主持
代表性论文:
[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] 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.

[7] 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.

[8] 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.

[9] 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.

[10] 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.

[11] 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.

[12] Dapeng Wang, Haobo Qiu, Liang Gao, Chen Jiang*. A Subdomain uncertainty-guided Kriging method with optimized feasibility metric for time-dependent reliability analysis. Reliability Engineering & System Safety, 2024, 243: 109839.

[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.

[15] 蒋琛, 邱浩波, 高亮. 随机不确定性下的可靠性设计优化研究进展. 中国机械工程, 2020, 31(2): 190-205.
荣誉获奖

[1] 2023年“全球前2%顶尖科学家榜单”科学影响力排行榜
[2] 2022年湖北省海外高层次人才计划
[3] 2022年ASME J. Mech. Des. 杰出审稿人奖
[4] 2021年ASCE-ASME J. Risk Uncertain. Eng. Syst.最佳审稿人奖
[5] 2020年ASME IDETC/CIE 2020会议杰出论文奖