个人简介

华中科技大学机械科学与工程学院副教授、博士生导师。获湖北省杰出青年基金项目资助、湖北省优秀博士学位论文奖。2008年本科毕业于华中科技大学机械科学与工程学院，后保送直接攻读博士学位，2012年博士毕业于华中科技大学机械科学与工程学院，后在华中科技大学博士后流动站工作，2015年博士后出站留校任教。主持国家重点研发计划课题、国家自然科学基金项目、装发教育部联合基金项目、中国博士后资助项目、企业横向课题等10余项；参与国家科技支撑计划、国防基础科研计划、装发预研项目、国家自然科学基金等10余项。出版专著1部、发表SCI论文70余篇（其中，ESI热点论文、ESI高被引论文10余篇），申请/授权发明专利20余项。获国际会议IEEE IEEM 2015杰出论文奖、ICIDM 2018最佳论文奖、2020年湖北省科技进步二等奖1项。 开设课程 《机械原理》 《决策分析》 主持承担的科研项目： [1] 国家重点研发计划课题，2020YFB1708304，材料/结构/工艺一体化优化设计技术及应用验证，2020/11-2023/10，课题负责人； [2] 国家自然科学基金面上项目，多源、混合不确定性条件下基于稳健可靠性的设计优化研究，主持； [3] 国家自然科学基金青年基金，随机和认知不确定性条件下多学科稳健性设计优化研究，主持； [4] 装备预研教育部联合基金项目，宏微观跨尺度结构拓扑优化设计，主持； [5] 国防科工局创新基金项目，性能与工艺驱动的结构优化设计，主持 荣誉与奖励： [1] 湖北省科技进步二等奖，2020 [2] “Best Student Paper Award-Finalist” IEEE CASE 2019 [3] “Best Paper Award” ICIDM 2018 [4] “湖北省第十六届自然科学优秀学术论文二等奖”，2016 [5] “Outstanding Paper Award” IEEE IEEM 2015 [6] “湖北省第十五届自然科学优秀学术论文三等奖”，2014 [7] “湖北省优秀博士学位论文”，2013 [8] “Excellent Paper Award” PDR2010

研究领域

宏微观多尺度拓扑优化设计 面向增材制造的拓扑优化设计 等几何拓扑优化设计 稳健性/可靠性优化设计

现从事结构拓扑优化、可靠性/稳健性优化设计等方向研究工作

近期论文

查看导师新发文章 （温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

[1] 高亮，邱浩波，肖蜜等. 优化驱动的设计方法. 北京：清华大学出版社，2020年. [2] Xiao Mi, Liu Xiliang, Zhang Yan, Gao Liang, Gao Jie, Chu Sheng. Design of graded lattice sandwich structures by multiscale topology optimization. Computer Methods in Applied Mechanics and Engineering, 2021, 384: 113949. [3] Xiao Mi, Zhang Jinhao, Gao Liang. A system active learning Kriging method for system reliability-based design optimization with a multiple response model. Reliability Engineering & System Safety, 2020, 199: 106935. [4] Xiao Mi, Zhang Jinhao, Gao Liang, Lee Soobum, Eshghi Amin Toghi. An efficient Kriging-based subset simulation method for hybrid reliability analysis under random and interval variables with small failure probability. Structural and Multidisciplinary Optimization, 2019, 59(6): 2077-2092. [5] Zhang Jinhao, Xiao Mi*, Gao Liang, Chu Sheng. A combined projection-outline-based active learning Kriging and adaptive importance sampling method for hybrid reliability analysis with small failure probabilities. Computer Methods in Applied Mechanics and Engineering, 2019, 344: 13-33. [6] Zhang Jinhao, Xiao Mi*, Gao Liang, Fu Junjian. A novel projection outline based active learning method and its combination with Kriging metamodel for hybrid reliability analysis with random and interval variables. Computer Methods in Applied Mechanics and Engineering, 2018, 341: 32-52. [7] Zhang Yan, Gao Liang, Xiao Mi*. Maximizing natural frequencies of inhomogeneous cellular structures by Kriging-assisted multiscale topology optimization. Computers and Structures, 2020, 230: 106197. [8] Xiao Mi, Chu Sheng, Gao Liang, Li Hao. A Hybrid Method for Density-Related Topology Optimization. International Journal of Computational Methods, 2019, 16(8), 1850116. [9] Gao Jie, Li Hao, Gao Liang, Xiao Mi*. Topological shape optimization of 3D micro-structured materials using energy-based homogenization method. Advances in Engineering Software, 2018, 116: 89-102. [10] Chu Sheng, Gao Liang, Xiao Mi*, Luo Zhen, Li Hao. Stress-based multi-material topology optimization of compliant mechanisms. International Journal for Numerical Methods in Engineering, 2018, 113(7):1021-1044. [11] Xiao Mi, Shao Xinyu, Gao Liang, Luo Zhen. A New Methodology for Multi-objective Multidisciplinary Design Optimization Problems Based on Game Theory. Expert Systems with Applications, 2015, 42(3): 1602-1612. [12] Xiao Mi, Gao Liang, Xiong Haihong, Luo Zhen. An Efficient Method for Reliability Analysis under Epistemic Uncertainty based on Evidence Theory and Support Vector Regression. Journal of Engineering Design, 2015, 26(10-12): 340-364. [13] Gao Liang, Xiao Mi*, Shao Xinyu, Jiang Ping, Nie Li, Qiu Haobo. Analysis of Gene Expression Programming for Approximation in Engineering Design. Structural and Multidisciplinary Optimization, 2012, 46(3): 399-413. [14] Xiao Mi, Gao Liang, Shao Xinyu, Qiu Haobo, Jiang Ping. A Generalized Collaborative Optimization Method and Its Combination with Kriging Metamodels for Engineering Design. Journal of Engineering Design, 2012, 23(5): 379-399.