慕何青

教学：                

Structural   Mechanics结构力学，土木工程卓越全英班（2015-目前）

结构力学，中文班（2016-目前）

本科生研究项目SRP导师（相关成果发表SCI论文）（2017-目前）

本科生毕业论文导师（相关成果发表SCI论文）（2019-目前）

本科毕业实习（2016级房建1班）（2020，2周学时）

本科生导师，21级土木卓越全英班（2022-，）

科研：                

科研兴趣：

理论层面：贝叶斯理论、机器视觉与机器学习、异常数据（离异点）分析

学科层面：结构健康监测、结构可靠度、地震工程

科研项目：

国家自然科学基金（青年基金），时变结构在非平稳噪声下的实时结构参数识别、噪声参数识别与模型选择，负责人

国家自然科学基金（面上基金），大型复杂减隔震结构非线性随机振动时域显式方法研究，参与人

中国地震局地震工程与工程振动重点实验室重点专项-协作项目，基于贝叶斯理论的高层结构抗震评估方法研究，负责人

亚热带建筑科学国家重点实验室后备人才计划，车辆荷载识别与桥梁荷载效应估计研究，负责人

中央高校基本科研业务费重点项目，车辆荷载时空分布识别与桥梁荷载效应不确定性量化研究，负责人

广州市珠江科技新星，多源不确定性下的结构健康监测：理论架构与计算策略，负责人

广东省自然科学基金，大型结构健康监测：耦合不确定性量化与配套GPU加速计算策略，负责人

广州市科学研究计划（重点项目：200万），面向区域级结构健康监测与安全评估的CLOUD-BIM决策支持平台关键技术研究，主要承担人（排名第二）

华南理工大学土木与交通学院优秀青年教师培育项目，多源不确定性下的结构识别：贝叶斯识别理论研究与配套CPU/GPU高效混合计算策略，负责人

亚热带建筑科学国家重点实验室开放课题，基于贝叶斯理论的多结构模型鲁棒损伤识别，负责人

中国博士后科学基金，基于降维贝叶斯理论的地震动衰减关系研究，负责人

中央高校基本科研业务费面上项目，地表峰值加速度不确定性研究，负责人

澳门大学科研基金，鲁棒地震预警系统开发，联合负责人（UMAC MYRG, Development of Robust Earthquake Early Warning System, Co-PI）

学术成果

·        规范制定：《桥梁承载能力快速测试与评估技术规程》，主要起草人员。

·           发表期刊：

Computer-Aided Civil and Infrastructure Engineering (Wiley) (IF: 11.775): 3篇

ASCE_Journal of Engineering Mechanics

ASCE_Journal of Computing in Civil Engineering

ASCE_Journal of Aerospace Engineering

ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil  Engineering

Probabilistic Engineering Mechanics (Elsevier)

Measurement (Elsevier)

International Journal of Structural Stability and Dynamics

Earthquake Engineering and Engineering Vibration (Springer)

Journal of Low Frequency Noise, Vibration & Active Control (Sage)

Advances in Mechanical Engineering (Sage)

International Journal of Lifecycle Performance Engineering (IJLCPE)

Earthquake Engineering: New Research. (Nova Science, New York)

·       期刊文章：（下划线为本科生或研究生）

1）慕何青, 庞振浩, 王浩, 苏成（2023）. 结构影响线识别：反问题可识别性分析与降维贝叶斯不确定性量化[J]. 工程力学. 40(1): 51-62. doi:   10.6052/j.issn.1000-4750.2021.07.0574 shu

2）Mu, H.-Q., Shen Ji-Hui, Zhao Zi-Tong, Liu Han-Teng, & Yuen, K. V. (2022). A novel generative approach for modal frequency probabilistic prediction under varying environmental condition using incomplete information. Engineering Structures, 252, 113571.

3）Mu, H. Q., Liang, X. X., Shen, J. H., & Zhang, F. L. (2022). Analysis of Structural Health Monitoring Data with Correlated Measurement Error by Bayesian System Identification: Theory and Application. Sensors, 22(20), 7981.

4）Mu, H.-Q., & Yuen, K. V. (2020). Bayesian Learning-Based Data Analysis of Uniaxial Compressive Strength of Rock: Relevance Feature Selection and Prediction Reliability Assessment. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 6.1 (2019): 04019018.

5）Mu, H.-Q., Zheng, Z. J., Wu, X. H., & Su, C. (2020). Bayesian Network-Based Modal Frequency–Multiple Environmental Factors Pattern Recognition for the Xinguang Bridge Using Long-Term Monitoring Data. Journal of Low Frequency Noise Vibration and Active Control, 39(3), 545-559.

6）Mu, H. Q., Liu, H. T., & Shen, J. H. (2020). Copula-Based Uncertainty Quantification (Copula-UQ) for Multi-Sensor Data in Structural Health Monitoring. Sensors, 20(19), 5692.

7）Mu, H.-Q., Hu, Q., Guo, H.Z., Zhang, T.Y., Su, C. (2019) Uncertainty Quantification of Load Effects Under Stochastic Traffic Flows. International Journal of Structural Stability and Dynamics, 19 (1), 1940009.

8）Mu, H.-Q., Guo, H.Z., Zhang, T.Y., Su, C. (2019) A Parametric Study of Bridge Load Effect Under Stochastic Vehicular Load. International Journal of Lifecycle Performance Engineering (IJLCPE), 3 (1),   77-90.

9）Mu, H. Q., & Yuen, K. V. (2018). Modal Frequency-Environmental Condition Relation Development Using Long-Term Structural Health Monitoring Measurement: Uncertainty Quantification, Sparse Feature Selection and Multivariate Prediction. Measurement, 130, 384-397.

10）黄非，陈红彦，李弘扬，慕何青（2018）。“一带一路”倡议背景下的粤港澳大湾区协同发展。华南理工大学学报（社会科学版），20 (1): 21-29。

11）Mu, H.-Q., Yuen, K.-V. (2017) Novel Sparse Bayesian Learning and its Application to Ground Motion Pattern Recognition. Journal of Computing in Civil Engineering (ASCE), 31 (5), 04017031.

12）Mu, H.-Q., Kuok, S.-C. and Yuen, K.-V. (2017) Stable Robust Extended Kalman Filter. Journal of Aerospace Engineering (ASCE), (30)2, B4016010.

13）Mu, H.-Q., Yuen, K.-V. and Ng IT. (2017) Prediction on Uniaxial Compressive Strength of Rock: Bayesian Inference and Outlier Analysis, 12th International Conference on Structural Safety and Reliability (ICOSSAR). Vienna, Austria.

14）Mu, H.-Q., Yuen, K.-V. (2016) Ground Motion Prediction Equation Development by Heterogeneous Bayesian Learning. Computer-Aided Civil and Infrastructure Engineering, 31(10), 761-776.

15）Mu, H.-Q., Beck, J. L. (2016) Real-time Model Uncertainty Quantification and Hyper-robust Structural Identification. 6th Asian-Pacific Symposium on Structural Reliability and its Applications (APSSRA6).

16）Mu, H.-Q., Yuen, K.-V. (2015) Novel Outlier-Resistant Extended Kalman Filter for Robust Online Structural Identification. Journal of Engineering Mechanics (ASCE) 01; 141(1).

17）Yuen, K.-V., Mu, H.-Q. (2015) Real-Time System Identification: Model Class Selection and Parametric Identification. Computer-Aided Civil and Infrastructure Engineering 30(10), 785-801. (CACAIE期刊2000-2019年被引次数最多的12篇文章榜单)Top 12 Cited Papers of CACAIE from 2000-2019

18）Mu, H.-Q., Xu, R.-R. and Yuen, K.-V. (2014) Seismic Attenuation Relationship with Homogeneous and Heterogeneous Prediction-Error Variance Model. Earthquake Engineering and Engineering Vibration 13(1): 1-11.

19）Yuen, K.-V., Mu, H.-Q. (2012) A Novel Probabilistic Method for Robust Parametric Identification and Outlier Detection. Probabilistic Engineering Mechanics 30: 48-59. [Most Cited Probabilistic Engineering Mechanics Articles since 2011 (PEM期刊自2011年起引用次数最多文章榜单)]

20）Yuen, K.-V., Mu, H.-Q. (2011) Peak Ground Acceleration Estimation by Linear and Nonlinear Models with Reduced Order Monte Carlo Simulation. Computer-Aided Civil and Infrastructure Engineering 26(1): 30-47.

21）Yuen, K.-V., Mu, H.-Q. (2008) Chapter 5. On the Seismic Attenuation with Consideration of the Prediction Model Complexity Earthquake Engineering: New Research, Nova Science Publishers, New York.   ISBN: 978-1-60456-736-6

·      会议文章、学术报告：（下划线为本科生或研究生）

1) Mu He-Qing, Liang Xin-Xiong, Shao Wei, Su Cheng, Computer vision-based stochastic modelling of bridge traffic flow, 13th International Conference on Structural Safety & Reliability (ICOSSAR 2021-2022), 13-17 September 2022, Tongji University, Shanghai, China.

2) Mu He-Qing , Shao Wei, Liu HanTeng, Wu Stephen, Efficient Bridge Lifetime Vehicle Load Effect Assessment by Subset Simulation, 13th International Conference on Structural Safety & Reliability (ICOSSAR 2021-2022), 13-17 September 2022, Tongji University, Shanghai, China.

3) Mu He-Qing, Shen Ji-Hui, Lu Jian-Yuan, An efficient Bayesian inference for regression models with correlated errors of compound symmetric covariance structures and its  application to engineering risk data analysis, 13th International Conference on Structural Safety & Reliability (ICOSSAR 2021-2022), 13-17 September 2022, Tongji University, Shanghai, China.

4) Mu, He-Qing，Traffic Camera-based and Engineering Knowledge-aided Weigh-In-Motion (TRACK-WIM) for bridge vehicle load identification, The 1st Macao Conference on Smart City Technologies Hengqin & Macao，珠海、澳门，中国，2021年12月12日- 2021年12月13日.

5) Zhao, Zi-Tong; Mu, He-Qing; Shao, Wei; Yuen, Ka-Veng; Bayesian Copula-based Uncertainty Quantification (BASIC-UQ) for Multivariate, Uncertain, and Incomplete  Geotechnical Data, MACHINE LEARNING & RISK ASSESSMENT IN GEOENGINEERING Joint International Symposium of Two Events 3ISMLG & TCWW, Wroclaw, Poland, 2021-10-25 To 2021-10-27.

6) 慕何青, 梁新雄, 基于计算机视觉的车辆荷载建模, 第八届全国结构抗振控制与健康监测学术会议，合肥, 中国，2019年11月22日- 2019年11月24日.

7) Mu, He-Qing; Lu Jianyuan;   Liang Jing-Wei; Su Cheng; Seismic attenuation relation development of the Guangdong province based on Bayesian model class selection and parametric identification, Nat Cat Risks in the PRD Region – Guangzhou Workshop,  Guangzhou, China, 2019-10-26.

8) 刘汉藤, 慕何青, 桥梁车辆荷载效应极值外推研究, 第十届（2019）海峡两岸高校师生土木工程监测与控制研讨会,武汉, 中国, 2019年8月23日-2019年8月26日.

9) 慕何青, 时变结构在非平稳噪声下的实时结构参数识别, 噪声参数识别与模型选择, 国家自然科学基金委“第一届土木工程青年论坛”学术交流研讨会, 长沙, 中国, 2018-11-09 To   2018-11-10.

10) Wu, Stephen; Mu, He-Qing; Guo, Hou-Zuo; Efficient Bridge Lifetime Assessment by Traffic Load Model Updating and Subset Simulation, Engineering Mechanics Institute  International Conference 2018, Shanghai, China, 2018-11-02 To 2018-11-04.

11) 谭志健, 慕何青, 郭侯佐, 苏  成, 基于高斯过程回归的桥梁影响线拟合, 第十一届全国随机振动理论与应用学术会议暨第七届全国随机动力学学术会议, 宜昌, 中国, 2018.

12) Mu, He-Qing; Wu, Stephen; Guo, Hou-Zuo; Zhang, Tian-Yu; A model for bridge vehicular flow based on vehicular in-flow and load effect measurements, The 7th World Conference on Structural Control and Monitoring (7WCSCM), Qingdao, China, 2018-07-22 To 2018-07-25.

13) Du, Wenqi; Walling M.Y.; Mu He-Qing; Pan T-C; Su Cheng; The Worst-Case Scenario-Based Seismic Hazard Maps in Guangdong Province, China, 6th International Symposium  on Reliability Engineering and Risk Management (6ISRERM), Singapore, 2018-05-31 To 2018-06-01

14) 慕何青, 贝叶斯方法与不确定性量化, 国家自然科学基金委“第一届全国土木工程青年学者学术沙龙”, 上海, 中国, 2017-12-16.

15) Mu, He-Qing; Yuen, Ka-Veng, Structural Modal Frequency-Environmental Condition Relation Development by Bayesian Learning Approach, The 8th International Conference on Structural Health Monitoring of Intelligent Infrastructure, Australia, 2017-12-05 To 2017-12-08.

16) Zheng, Z. J.; Mu, He-Qing; Su, C., Modelling on strong ground motions considering nonstationarity, EASEC 2017-15th East Asia-Pacific Conference on Structural Engineering & Construction, China, 2017-11-11 To 2017-11-13.

17) Wu, X. H.; Mu, He-Qing; Su, C. Su, Modal parameters-environmental effects relationship development for the Xinguang bridge, EASEC 2017-15th East Asia-Pacific Conference on Structural Engineering & Construction, China, 2017-10-11 To 2017-10-13.

18) Mu, He-Qing, Selection of ground motion prediction equation by Bayesian learning approach, 15th International Symposium on Geo-Disaster Reduction-, Japan, 2017-08-25 To 2017-08-30.

19) Mu, He-Qing; Yuen, Ka-Veng; Ng, I. T., Prediction on Uniaxial Compressive Strength of Rock: Bayesian Inference and Outlier Analysis, 12th International Conference on Structural Safety and Reliability (ICOSSAR), Austria, 2017-08-02 To 2017-08-06.

20) Mu, He-Qing; Yuen, Ka-Veng; Kuok, Sin-Chi, Modal frequency-ambient condition pattern recognition by a novel machine learning algorithm, 24th Australasian Conference on the Mechanics of Structures and Materials, ACMSM 2016, 2016-12-06 To 2016-12-09.

21) He-Qing Mu; Wei Liao; Longbi Li; Cheng Su, Probability Distribution Model Selection of Load Effects of Bridges Using Weight-In-Motion Data: Bayesian Approach., International Symposium on Sustainability and Resiliency of Infrastructure 2016, Taiwan, 2016.

22) He-Qing Mu; J L Beck, Real-time Model Uncertainty Quantification and Hyper-Robust Structural Identification, 6th Asian-Pacific Symposium on Structural Reliability and its Applications, China, 2016.

23) 慕何青, 贝叶斯机器学习算法与其在模态频率-环境因素映射分析中的应用, 第六届全国结构抗振控制与健康监测学术会议,沈阳,中国, 2016.

24) 慕何青, 实时土木结构识别, 第十一届全国振动理论及应用学术会议,北京,中国, 2015.

25) Ka-Veng Yuen; He-Qing Mu, A Novel Online Algorithm for Simultaneous Data Cleansing and Robust Damage Detection, 5th Asia-Pacific Workshop on Structural Health Monitoring  (5APWSHM), 2014-10-05 To 2014-10-11.

26) Ka-Veng Yuen; He-Qing Mu; Shi-Chi Kuok, Towards Robust Real-time System Identification, 2013/2014 Annual Symposium of HKIE Control, Automation and Instrumentation Division, 2014-05-05 To 2014-05-10.

27) Ka-Veng Yuen; He-Qing Mu, Outlier Detection Using the Outlier Probability for Robust Linear Regression, 59th World Statistics Congress, Hong Kong, China, 2013-08-10 To 2013-08-15.

28) Ka-Veng Yuen; He-Qing Mu, Outlier Analysis for Linear Regression and Online Structural Identification, 17th Annual Conference of HKSTAM 2013, Macau, China, 2013-06-01 To 2013-06-03.

29) He-Qing Mu; Ka-Veng Yuen, Outlier Problem and Robust Inference, 2nd Cross-Strait SDSV, Hong Kong and Macau, China, 2012-12-10 To 2012-12-15.

30) He-Qing Mu; Ka-Veng Yuen, Bayesian Model Selection for Peak Ground Acceleration Prediction, NCEFGS’2010, 2010-10-10 To 2010-10-15.

31) He-Qing Mu; Ka-Veng Yuen, Bayesian Analysis of Peak Ground Acceleration Attenuation Relationship, AIP Conference, 2010-02-01 To 2010-02-03.

32) He-Qing Mu; Ka-Veng Yuen, Bayesian Analysis of Peak Ground Acceleration Attenuation Relationship, ISCM II and EPMESC VII, 2009-12-10 To 2009-12-16.

33) Ka-Veng Yuen; He-Qing Mu, On The Boore-Joyner-Furnal Formula for Peak Ground Acceleration Attenuation with Data of China, APSSRA'08, 2008-02-27 To 2008-03-02.

·   专利：

1) 慕何青，苏成、邵威，梁新雄、周奕君。基于增强纯计算机视觉的桥梁车辆荷载不确定性量化方法。国家发明专利，专利号：202211550684.3。

2) 慕何青，梁新雄、陈源培、张赫、罗培生、吴会丰。一种基于计算机视觉图像识别的轮胎荷载获取方法。国家发明专利，专利号：202211619987.6。

3) 慕何青，刘汉藤、陈麟君，张赫。交通荷载效应值计算软件。软件著作权，登记号：2023SR0054874。2023-01-10。

4) 慕何青，刘汉藤、赵子彤，张赫。多维概率分布建模软件。软件著作权。登记号：2023SR0054876。2023-01-10。