邱浩波（Qiu Haobo，Professor），华中科技大学机械科学与工程学院教授、博士生导师。从事复杂机械产品可靠性建模和性能优化方面的研究和应用工作，致力于通过数学和人工智能等手段使产品的可靠性和性能得到精准预测和优化。近年来主持国家自然科学基金项目4项，装备预先研究项目2项，数控重大专项2项，参与973项目1项，发表论文100余篇，其中SCI收录60余篇，出版专著3部，获省部级奖项2项。

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
4.装备研发项目：舰船系统技术状态评估，2022-2023，主要技术负责人
5.装备研发项目：岛礁系统效能评估研究，2022-2023，主持
6.装备研发项目：舰船系统任务可靠度评估，2023-2024，主持
7.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
8.装备预研项目“智能制造单元技术”，2019-2021，主持
9.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
10.973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。
11.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。
12.数控重大专项“超重型数控单柱移动立式铣车床”，2013-2016，主持。
13.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。
14.装备预研子课题“柔性线缆三维立体成型与组装”，2012-2015，主持。

论文专著与专利

（1）期刊论文
1.Jie Shang, Danyang Xu, Haobo Qiu *, Liang Gao, Chen Jiang, Pengxing Yi. A novel data augmentation framework for remaining useful life estimation with dense convolutional regression network. Journal of Manufacturing Systems 74 (2024) 30–40.
2.Yuanhao Liu , Zan Yang , Danyang Xu , Haobo Qiu* , Liang Gao. A Kriging-assisted Double Population Differential Evolution for Mixed-Integer Expensive Constrained Optimization Problems with Mixed Constraint. Swarm and Evolutionary Computation. 2024, 84: 101428.
3.Haobo Qiu, Yingchun Niu, Jie Shang, Liang Gao, Danyang Xu*. A piecewise method for bearing remaining useful life estimation using temporal convolutional networks. Journal of Manufacturing Systems 2023, 68: 227–241.
4.Yuanhao Liu, Zan Yang, Danyang Xu, Haobo Qiu*, Liang Gao. A surrogate-assisted differential evolution for expensive constrained optimization problems involving mixed-integer variables. Information Sciences. 2023, 622: 282-302.
5.ZanYang, Haobo Qiu,* Liang Gao, DanyangXu, Yuanhao Liu. A General Framework of Surrogate-assisted Evolutionary Algorithms for solving Computationally Expensive Constrained Optimization Problems. Information Sciences. 2023, 619: 491-508
6.Zan Yang, Haobo Qiu*, Liang Gao, Liming Chen, Xiwen Cai. Constraint boundary pursuing‑based surrogate‑assisted differential evolution for expensive optimization problems with mixed constraints. Structural and Multidisciplinary Optimization, 2023, 66(2), 40.
7.Zan Yang, Haobo Qiu*, Liang Gao, Liming Chen, Jiansheng Liu. Surrogate-assisted MOEA/D for expensive constrained multi-objective optimization. Information Sciences. 2023, 639: 119016.
8.Dapeng Wang, Haobo Qiu* , Liang Gao, Danyang Xu, Chen Jiang. Time‑dependent system reliability analysis using adaptive single‑loop Kriging with probability of rejecting classification. Structural and Multidisciplinary Optimization.2023, 66(8): 186.
9.万谛、邱浩波*、李明宇、许丹阳、高亮. 考虑专家共识和多风险因素的模糊FMEA 法. 计算机集成制造系统. 2023.8
10.王铭靖，蒋琛、邱浩波*、高亮等。基于主客观融合功能共振的舰船任务安全性分析，中国舰船研究，2024.7
11.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
12.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
13.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
14.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. 
15.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. 
16.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.
17.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.
18.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.
19.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.
20.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.
21.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. 
22.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.
23.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
24.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.

（2）专著
1.高亮、李玉良、邱浩波、肖蜜等，优化设计，清华大学出版社，2023年
2.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
3.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

荣誉获奖

1. 随机与区间变量混合下的结构可靠性优化设计理论与方法，2023湖北省自然科学一等奖
2.工业自动化设备与系统可靠性国际标准，2023年机械工业科技进步奖二等奖