岳小伟，清华大学工业工程系副教授，博士生导师。曾任美国弗吉尼亚理工大学终身序列助理教授兼Grado Faculty Fellow， 于美国佐治亚理工学院获得工业工程博士学位（辅修机器学习）。研究方向包括智能制造质量管理、系统信息化与控制、工程统计学与系统优化等。研究得到多项学术荣誉认可，入选2021届美国国家工程院工程前沿论坛杰出青年学者（FoE Alumni），获美国国家工程院Grainger工程前沿基金奖，国际工业与系统工程协会Hamed K. Eldin早期职业工业工程学者奖、制造与设计杰出青年研究奖、美国SME杰出青年制造工程师奖、Robert Lyman奖，美国统计学会SPES奖、美国质量学会FTC早期职业基金奖等。曾获得十余项最佳论文奖和两项最佳博士论文奖。任IISE Transactions，IEEE TASE, IEEE TNNLS, ASME JCISE和Journal of Intelligent Manufacturing 副编，美国国家科学院开源期刊PNAS Nexus的编委。当选国际工业与系统工程学会质量与可靠性分会主席, 是ASQ、IEEE和 IISE 的高级会员。教育教学方面，曾获清华大学青年教师教学大赛一等奖，北京市优秀本科毕设指导教师，培养博士生曾获得国际工业与系统工程学会Pritsker最佳博士论文奖、美国机械工程学会CIE最佳博士论文奖。服务工作方面，担任系教学办主任、笃实书院院长助理、教学质量评估中心副主任（挂职）。

有计划招收博士后，欢迎具有良好数理基础，擅长编程，对数据科学、质量管理、智能制造等相关研究感兴趣的同学发送简历到邮箱。

• 清华大学优秀班主任，2025

• IEEE TNNLS 杰出AE奖，2025
  

• 校级考核优秀奖，2025

• 清华大学第十一届青年教师教学大赛一等奖，2024

• 校级考核优秀奖，2024

• 国际工业与系统工程学会（IISE）Dr. Hamed K. Eldin杰出青年工业工程学者奖，2023

• IISE Transactions最佳论文奖, 2023

• 美国国家工程院Grainger工程前沿基金奖，2022

• 国际工业与系统工程学会（IISE）制造与设计杰出青年研究奖，2022

• 美国制造工程师学会（SME）杰出青年制造工程师奖，2022

• 美国统计学会Statistics in Physical Engineering Sciences (SPES) 奖，2022

• Robert J. Lyman 奖，2022

• 美国国家工程院工程前沿论坛杰出青年学者，2021

• 美国质量学会FTC早期职业基金奖，2019

• 国际工业与系统工程学会（IISE）Pritsker最佳博士论文奖，2019

• 美国统计学会（ASA）Mary G. and Joseph Natrella奖学金，2018

• IEEE Transactions on Automation Science and Engineering最佳论文奖，2018

另有最佳论文奖、最佳论文奖提名奖、最佳墙报奖等多项。包括运筹学与管理科学学会（INFORMS）最佳论文奖项、国际工业与系统工程学会（IISE）最佳论文奖项、美国统计学会最佳论文奖项、美国机械工程学会（ASME）最佳论文奖项等。

佐治亚理工学院 工业工程博士（辅修机器学习）

佐治亚理工学院 统计学硕士

清华大学 动力工程及工程热物理硕士

北京理工大学 车辆工程学士

2023—至今 : 清华大学工业工程系 副教授

2018—2023 : 弗吉尼亚理工大学Grado工业与系统工程系 助理教授

质量科学：高精度质量管理，缺陷检测和诊断，统计过程控制

智能制造：制造系统统计分析，系统信息化与控制，数字孪生，数字化制造

数据科学：预测建模，不确定性量化，数据融合，工程驱动的机器学习

曾讲授《统计质量控制》、《质量管理与质量控制》、《机器学习》、《数据分析》、《数据管理》等课程。

在读博士生5名，硕士生3名，在站博士后2人；曾指导5名博士生，其中4人已经毕业并加入研究型大学担任助理教授，所培养的博士生获得最佳博士论文奖三项次（美国机械工程学会CIE最佳博士论文奖、国际工业与系统工程学会Pritsker最佳博士论文奖）。指导本科生、硕士生等多名。

37. Li, Y. &, Zhang Z.H., Yue, X., Zheng L.*, (2025) “An unsupervised embedding method based on streaming videos for process monitoring in repetitive production systems” IISE Transactions, 57(6), 724–739. DOI:10.1080/24725854.2024.2386415.

【IISE Transactions 最佳论文奖(设计制造), 2026】

【IISE QCRE 最佳学生论文奖，2024】

36. Wang, Y., Sun, W., Jin, J., Kong, Z., Yue, X.*, (2024) “WOOD: Wasserstein-based Out-of-Distribution Detection”, IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(2), pp. 944-956. 

【运筹与管理学会（INFORMS）数据挖掘与决策分析 最佳理论论文奖】

【国际工业与系统工程学会（IISE）DAIS最佳论文奖】

35. Lee, C., Wang, K., Wu, J., Cai, W., Yue, X.*, (2023) “Partitioned Active Learning for Heterogeneous Systems”, ASME Transactions, Journal of Computing and Information Science in Engineering.

【INFORMS QSR 最佳论文Finalist奖，2021】

34. Lee, C., Wang, X., Wu, J., Yue, X.*, (2023) “Failure-averse Active Learning for physics-constrained systems”, IEEE Transactions on Automation Science and Engineering.

【INFORMS DMDA 最佳理论论文Finalist奖， 2022】

33. Wang, Y., Sun, W., Jin, J., Kong, Z., Yue, X.*, (2023) “MVGCN: Multi-view Graph Convolutional Neural Network for Surface Defect Identification using 3D Point Cloud”, ASME Transactions, Journal of Manufacturing Science and Engineering, 145(3): 031004.

32. Wang, Y., Wang, M., AlBahar, A., Yue, X.*, (2022) “Nested Bayesian Optimization for Computer Experiments”, IEEE/ASME Transactions on Mechatronics, DOI: 10.1109/TMECH.2022.3202079.

31. AlBahar, A., Kim, I., Wang, X., Yue, X.*, (2023) “Physics-Constrained Bayesian Optimization for Optimal Actuators Placement in Composite Structures Assembly”, IEEE Transactions on Automation Science and Engineering.

30. Gao, Y., Wang, X., Son, J., Yue, X., Wu, J., (2022+) “Hierarchical Modeling of Microstructural Images for Porosity Prediction in Metal Additive Manufacturing via Two-point Correlation Function”, IISE Transactions, DOI: 10.1080/24725854.2022.2115593.

29. Mou, S., Biehler, M., Yue, X.*, Hunt, J. H., Shi, J.,(2022+) “SPAC: Sparse Sensor Placement Based Adaptive Control for High Precision Fuselage Assembly”, IISE Transactions, DOI: 10.1080/24725854.2022.2116133.

【IISE DAIS 最佳学生论文Finalist奖, 2022】

28. Li, Z., Li, Y., Yue, X., Zio E., Wu. J., (2022) “A Deep Branched Network for Failure Mode Diagnostics and Remaining Useful Life Prediction”, IEEE Transactions on Instrumentation & Measurement, DOI: 10.1109/TIM.2022.3195280.

27. Wang, W., Yue, X., Haaland, B., Wu, J., (2022) “Gaussian Process with Input Location Error and Applications to the Composite Parts Assembly Process”, SIAM/ASA Journal on Uncertainty Quantification, 10(2), pp.619-650, DOI: https://doi.org/10.1137/20M1312447.

26. Xu, R., Wu, J., Yue, X., Li, Y., (2023) “Online Structural Change-point Detection of High-dimensional Streaming Data via Dynamic Sparse Subspace Learning”, Technometrics, 65(1), pp.19-32, DOI: 10.1080/00401706.2022.2046171.

【INFORMS QSR 最佳学生论文Finalist奖， 2020】

25. Liu, Y., Zhao, W., Liu, H., Wang, Y., Yue, X.*,(2022) “Coverage Path Planning for Robotic Quality Inspection with Control on Measurement Uncertainty”, IEEE/ASME Transactions on Mechatronics, 27(5), pp. 3482-3493, DOI: 10.1109/TMECH.2022.3142756.

24. AlBahar, A., Kim, I., Yue, X.*, (2022) “A Robust Asymmetric Kernel Function for Bayesian Optimization, with Application to Image Defect Detection in Manufacturing Systems”, IEEE Transactions on Automation Science and Engineering, 19(4), pp. 3222-3233, DOI: 10.1109/TASE.2021.3114157.

23. Wang, Y., Wang, K., Cai, W., Yue, X.*, (2022) “NP-ODE: Neural Process Aided Ordinary Differential Equations for Uncertainty Quantification of Finite Element Analysis”, IISE Transactions, 54(3), pp.211-226, DOI: 10.1080/24725854.2021.1891485.

【IISE Transactions 最佳论文奖 (设计与制造) ，2023】

【ASME MSEC 最佳墙报奖 NAMRC/MSEC 2021】

22. Wang, Y., Guo, W., Yue, X.*, (2022) “Tensor decomposition to Compress Convolutional Layers in Deep Learning”, IISE Transactions, 54(5), pp. 481-495, DOI: 10.1080/24725854.2021.1894514.

【IISE Transactions 最佳论文奖 (数据科学、质量可靠性) ，2023】

【Research Featured by the ISE Magazine】

21. Liu, Y., Zhao, W., Lutz, T.O., Yue, X.*,(2022) “Task Allocation and Coordinated Motion Planning for Autonomous Multi-Robot Optical Inspection Systems”, Journal of Intelligent Manufacturing, 33, pp. 2457-2470, DOI: 10.1007/s10845-021-01803-1.

20. Wang, R., Wang, Y., Devadiga, S., Perkins, I., Kong, Z., Yue, X.*, (2021) “Structured Light Three-Dimensional Scanning for Process Monitoring and Quality Control in Precast Concrete Production”, PCI Journal, 66(6), pp. 17-32, November-December, 2021, DOI: https://doi.org/10.15554/pcij66.6-01.

【Robert J. Lyman Award，2022】

19. Lahoti, G., Chen, J., Yue, X., Yan, H., Ranjan, C., Qian, Z., Zhang, C., Wang, B., (2021) “Image Decomposition-based Sparse Extreme Pixel-level Feature Detection with Application to Medical Treatment Planning”, IISE Transactions on Healthcare Systems Engineering, 11(4), pp.338-354, DOI: 10.1080/24725579.2021.1910599.

18. Wang, Y., Oyen, D., Guo, W., Mehta, A., Scott, C.B., Panda, N.,Fernandez-Godino, M.G., Srinivasan, G., Yue, X.* (2021) “StressNet: Deep Learning to Predict Stress With Fracture Propagation in Brittle Materials”, NPJ Materials Degradation, 5(6).

17. Lee, C., Wu, J., Wang, W., Yue, X.*, (2022) “Neural Network Gaussian Process considering Input Uncertainty for Composite Structures Assembly”, IEEE/ASME Transactions on Mechatronics, 27(3), pp. 1267-1277, DOI: 10.1109/TMECH.2020.3040755.

【IISE Data Analytics & Information Systems 最佳学生论文奖， 2020】

【ASA QPRC 最佳墙报奖】.

16. Wang, K., Wang, Y., Yue, X.*, Cai, W.* (2021) “Multiphysics Modeling and Uncertainty Quantification of Tribocorrosion in Aluminum Alloys”, Corrosion Science, 178, pp.109095, DOI: https://doi.org/10.1016/j.corsci.2020.109095.

15. Yue, X., Wen, Y., Hunt, J.H., Shi, J., (2021) "Active Learning for Gaussian Process considering Uncertainties, with Application to Shape Control of Composite Fuselage", IEEE Transactions on Automation Science and Engineering, 18(1), pp. 36-46, DOI: 10.1109/TASE.2020.2990401.

14. Gao, Z., Guo, W., Yue, X., (2021) “Optimal Integration of Supervised Tensor Decomposition and Ensemble Learning for in-situ Quality Evaluation in Friction Stir Blind Riveting”, IEEE Transactions on Automation Science and Engineering, 18(1), pp. 19-35, DOI: 10.1109/TASE.2019.2955397.

13. Li, Z., Wu, J., Yue, X., (2021) “A Shape Constrained Neural Data Fusion Network for Health Index Construction and Residual Life Prediction”, IEEE Transactions on Neural Networks and Learning Systems, vol. 32, no. 11, pp. 5022-5033, Nov. 2021, DOI: 10.1109/TNNLS.2020.3026644.

12. Liu, Y., Zhao, W., Sun, R., Yue, X.*,(2020) “Optimal Path Planning for Automated Dimensional Inspection of Free-Form Surfaces on the Auto Body”, Journal of Manufacturing Systems, 56, pp.84-92.

11. Wang, Y., Yue, X., Tuo, R., Hunt, J. H., Shi, J., (2020) “Effective Model Calibration via Sensible Variable Identification and Adjustment, with application to Composite Fuselage Simulation”, Annals of Applied Statistics, 14(4), pp.1759-1776.

【SPES Award (Statistics in Physical Engineering Sciences Award) in 2022, by ASA.】

【INFORMS QSR最佳论文Finalist奖， 2017】

10. Shi, X., Yue, X.*, Liang, Z., Shi, J., (2020) “Real-time Data-driven Quality Assessment for Continuous Manufacturing of Carbon Nanotube Buckypaper”, IEEE Transactions on Nanotechnology, 19, pp.350-359. DOI: 10.1109/TNANO.2020.2989397.

9. Du, J., Yue, X., Hunt, J. H., Shi, J., (2019) “Optimal Placement of Actuators Via Sparse Learning for Composite Fuselage Shape Control”, ASME Transactions, Journal of Manufacturing Science and Engineering, 141(10): 101004, DOI:10.1115/1.4044249.

【INFORMS QSR 最佳论文Finalist奖，2018】

8. Yue, X., Park, J. G., Liang, Z., Shi, J., (2019) “Tensor Mixed Effects Model with Application to Nanomanufacturing Inspection”, Technometrics, 62(1), pp.116-129.

【INFORMS Data Mining 最佳论文Finalist奖 in 2017.】

7. Wen, Y., Yue, X., Hunt, J.H., Shi, J., (2019) "Virtual Assembly and Residual Stress Analysis for the Composite Fuselage Assembly Process", Journal of Manufacturing Systems, 52, pp.55-62.

6. Yue, X., Wen, Y., Hunt, J. H., Shi, J., (2018) “Surrogate Model based Control Considering Uncertainties for Composite Fuselage Assembly”, ASME Transactions, Journal of Manufacturing Science and Engineering, 140(4), 041017.

【INFORMS 最佳墙报论文奖 in 2017】

5. Yue, X., Yan, H., Park, J. G., Liang, Z., Shi, J., (2018) “A Wavelet-based Penalized Mixed Effects Decomposition for Multichannel Profile Detection of In-line Raman Spectroscopy”, IEEE Transactions on Automation Science and Engineering, 15(3), pp.1258-1271. [Open-Sourced Software Package Available]

4. Yue, X., Shi, J., (2018) “Surrogate-Model based Optimal Feed-forward Control for Dimensional-Variation Reduction in Composite Parts’ Assembly Processes”, Journal of Quality Technology, 50(3), pp.279-289.

3. Wen, Y., Yue, X., Hunt, J. H., Shi, J., (2018) “Feasibility Analysis of Composite Fuselage Shape Control via Finite Element Analysis”, Journal of Manufacturing Systems, 46, pp.272-281.

2. Yue, X., Wang, K., Yan, H., Park, J. G., Liang, Z., Zhang, C., Wang, B., Shi, J., (2017) “Generalized Wavelet Shrinkage of Inline Raman Spectroscopy for Quality Monitoring of Continuous Manufacturing of Carbon Nanotube Buckypaper”, IEEE Transactions on Automation Science and Engineering, 14(1), pp.196-207.

【IEEE Transactions on Automation Science and Engineering 最佳论文奖 in 2018.】

1. Zhang, J., Lv, C., Yue, X., Li, Y. and Yuan, Y., (2014) “Study on a Linear Relationship Between Limited Pressure Difference and Coil Current of On/Off Valve and Its Influential Factors”, ISA Transactions, 53(1), pp.150-161.

国际期刊编委：

• Associate Editor for the IISE Transactions

• Associate Editor for the IEEE Transactions on Automation Science and Engineering

• Associate Editor for the IEEE Transactions on Neural Networks and Learning Systems

• Associate Editor for the Journal of Intelligent Manufacturing

• Editorial Board Member for the PNAS Nexus

专业组织服务：

• President-Elect, President of IISE Quality Control & Reliability Engineering (QCRE) Division (2024~2026)  

• Board Director of IISE Data Analytics & Information Systems (DAIS) Division (2022~2024)

• Board Director of IISE Quality Control & Reliability Engineering (QCRE) Division (2022~2024)