华中科技大学机械科学与工程学院 教授
联系方式
邮箱：lihao2009@hust.edu.cn
个人主页：http://mse.hust.edu.cn/info/1143/1378.htm
研究方向
设备健康管理和早期故障预测
系统可靠性建模与分析
可靠性试验和先进数据分析方法
基于近似模型的性能优化设计
科研项目
[1] 国家自然科学基金项目“基于精准识别和在线引导的复杂机械产品昂贵约束优化设计方法研究”，2021-2024，主持
[2] 国家重点研发计划子课题：数模驱动的大型旋转机组早期故障预测与健康定量评价，2021-2023，主要技术负责人
[3] 湖北省科技重大专项子课题：数据驱动的智能设备运维技术，2022-2024，主持
装备研发项目：XX系统技术状态评估，2022-2023，主要技术负责人
[4] 国家自然科学基金项目“基于稳健近似和适应性求解的复杂机械产品可靠性设计优化方法研究”，2017-2020，主持
[5] 装备预研项目“智能制造单元技术”，2019-2021，主持
[6] 企业合作项目“3C热弯装备模具传热过程模拟实验及其工艺优化”，2019-2020，主持
[7] 973项目“高服役性能海洋动力定位装备制造的基础研究”子课题5“全回转推进装备响应灵敏性分析与敏感装配参数优化”，2014-2019，排名第2。
[8] 国家自然科学基金项目“基于目标级联分析和变可信度近似的复杂机械产品多学科设计优化研究”，2012-2015，主持。
[9] 数控重大专项“超重型数控单柱移动立式铣车床”，2013-2016，主持。
[10] 数控重大专项“核电蒸汽发生器孔板加工数控龙门移动式多主轴钻床”，2013-2016，主持。
[11] 装备预研子课题“柔性线缆三维立体成型与组装”，2012-2015，主持。
代表性作品：
（1）期刊论文
[1] Danyang Xu , Haobo Qiu*, Liang Gao , Zan Yang , Dapeng Wang , A Novel Dual-Stream Self-Attention Neural Network for Remaining Useful Life Estimation of Mechanical Systems, Reliability Engineering and System Safety (2022), 2022. 108444
[2] Liming Chen , Haobo Qiu *, Liang Gao , Zan Yang , Danyang Xu. Exploiting active subspaces of hyperparameters for efficient high-dimensional Kriging modeling. Mechanical Systems and Signal Processing. 2022, 169(4), 108643
[3] 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 and System Safety, 2021(208),107431
[4] Chen Jiang, Haobo Qiu*, Liang Gao, Liming Chen. Real-time estimation error-guided active learning Kriging method for time-dependent reliability analysis. Applied Mathematical Modelling. 2020, 77(1): 82-98.
[5] Zan Yang, Haobo Qiu*, Liang Gao, Chen Jiang, Liming Chen. Surrogate-assisted classification-collaboration differential evolution for expensive constrained optimization problems. Information Sciences. 2020, 508(1): 50-63.
[6] Chen Jiang, Haobo Qiu*, Xiaoke Li, Zhenzhong Chen, Liang Gao, Peigen Li. Iterative reliable design space approach for efficient reliability-based design optimization. Engineering with Computers. 2020, 36: 151–169.
[7] Liming Chen, Haobo Qiu*, Liang Gao, Chen Jiang, Zan Yang. Optimization of expensive black-box problems via Gradient-enhanced Kriging. Computer Methods in Applied Mechanics and Engineering. 2020, 362(4): 112861.
[8] Chen Jiang, Haobo Qiu*, Liang Gao, Dapeng Wang, Zan Yang, Liming Chen. EEK-SYS: System reliability analysis through estimation error-guided adaptive Kriging approximation of multiple limit state surfaces. Reliability Engineering &System Safety. 2020, 198(6): 106906.
[9] Dapeng Wang, Chen Jiang, Haobo Qiu*, Jinhao Zhang, Liang Gao. Time-dependent reliability analysis through projection outline-based adaptive Kriging. Structural and Multidisciplinary Optimization. 2020, 61:1453–1472.
[10] Liming Chen, Haobo Qiu*, Liang Gao, Chen Jiang, Zan Yang. A screening-based gradient-enhanced Kriging modeling method for high-dimensional problems. Applied Mathematical Modelling. 2019, 69(5): Pages 15-31.
[11] 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 and System Safety. 2019, 183(3): 47-59. 高被引
[12] Zan Yang, Haobo Qiu*, Liang Gao, Xiwen Cai, Chen Jiang, Liming Chen. A surrogate-assisted particle swarm optimization algorithm based on efficient global optimization for expensive black-box problems. Engineering Optimization. 2019, 51(4): 549-566.
[13] Chen Jiang, Dapeng Wang, Haobo Qiu*, Liang Gao, Liming Chen, ZanYang. An active failure-pursuing Kriging modeling method for time-dependent reliability analysis. Mechanical Systems and Signal Processing, 2019, 129(8): 112-129
[14] Zan Yang, Haobo Qiu*, Liang Gao, Chen Jiang, Jinhao Zhang. Two-layer adaptive surrogate-assisted evolutionary algorithm for high-dimensional computationally expensive problems. Journal of Global Optimization. 2019, 74, 327–359.
[15] Xiwen Cai, Haobo Qiu, Liang Gao et al. An efficient surrogate-assisted particle swarm optimization algorithm for high-dimensional expensive problems. July 2019. Knowledge-Based Systems.
[16] Xiwen Cai, Liang Gao, Xinyu Li, Haobo Qiu. Surrogate-guided differential evolution algorithm for high dimensional expensive problems. May 2019. Swarm and Evolutionary Computation.
[17] Liming Chen, Haobo Qiu*, Chen Jiang, Mi Xiao, Liang Gao. Support Vector enhanced Kriging for metamodeling with noisy data. Structural and Multidisciplinary Optimization. 2018, 57(4): 1611-1623.
[18] Liming Chen, Haobo Qiu*, Chen Jiang, Xiwen Cai, Liang Gao. Ensemble of surrogates with hybrid method using global and local measures for engineering design. Structural and Multidisciplinary Optimization. 2018, 57 (4): 1711-1729.
[19] Cai Xiwen, Qiu Haobo*, Gao Liang, Li xiaoke, Shao Xinyu. A hybrid global optimization method based on multiple metamodels. Engineering Computations. 2018, 35(6): 71- 90.
[20] C Jiang, X Cai, H Qiu*, L Gao, P Li. A two-stage support vector regression assisted sequential sampling approach for global metamodeling. Structural & Multidisciplinary Optimization, 2018, 58(4): 1657–1672.
[21] Zhenzhong Chen, Xiaoke Li, Ge Chen, Liang Gao, Haobo Qiu, Shengze Wang. A probabilistic feasible region approach for reliability-based design optimization. Structural and Multidisciplinary Optimization, January 2018, Volume 57, Issue 1, pp 359–372.
[22] Zhenzhong Chen, Zihao Wu, Xiaoke Li, Haobo Qiu. An accuracy analysis method for first-order reliability method. November 2018. ARCHIVE Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science.
（2）专著
[1]高亮、邱浩波、肖蜜等，优化驱动的设计方法，清华大学出版社，2020年
[2] 饶运清、邱浩波、曾文会等，全回转推进器装配性能分析与优化，科学出版社，2019年
奖励荣誉
湖北省科技进步二等奖等奖励
社会兼职
担任国家自然科学基金通讯评议人、《中国机械工程》的客座编辑、SCI期刊IJMPT、Materials的客座编辑、Energies的专题编辑，长期担任Computer Methods in Applied Mechanics and Engineering、Structural and Multidisciplinary Optimization、Engineering、Defence Technology等20余个SCI期刊的审稿人。
