个人简介
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届美国工程院工程前沿论坛杰出青年学者，并荣获美国工程院Grainger工程前沿基金奖，获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 TNNLS和Journal of Intelligent Manufacturing 副编，美国科学院开源期刊PNAS Nexus的编委。曾任美国自然科学基金、以色列自然科学基金等评委，当选国际工业与系统工程学会数据分析与信息系统分会理事和质量与可靠性分会理事, 是ASQ、IEEE和 IISE 的高级会员。
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。
所获奖励
美国工业与系统工程学会（IISE）Dr. Hamed K. Eldin杰出早期职业工业工程学者奖，2023
IISE Transactions最佳论文奖, 2023
美国工程院Grainger 工程前沿基金奖，2022
美国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
美国自然科学基金委 CMMI Panel Fellow 和Advanced Panel Fellow, 2021-2022
美国工程院工程前沿论坛入选人，2021
美国质量学会FTC早期职业基金奖，2019
美国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）最佳论文类奖项8项、美国工业与系统工程学会（IISE）最佳论文类奖项6项、美国统计学会最佳论文类奖项2项、美国机械工程学会（ASME）最佳论文类奖项2项等。
教育背景
2013—2018 佐治亚理工学院 工业工程博士
2013—2016 佐治亚理工学院 统计学硕士
2011—2013 清华大学 动力工程及工程热物理硕士
2007—2011 北京理工大学 车辆工程学士
工作经历
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
研究兴趣
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
讲授课程
曾讲授《统计质量控制》、《质量管理》、《机器学习》、《数据分析》、《数据管理》等课程。
学生培养
曾指导5名博士生，其中2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两项（美国机械工程学会CIE最佳博士论文奖、美国工业与系统工程学会Pritsker最佳博士论文奖二等奖）。指导本科生、硕士生等多名，本科毕业设计多组。
论文发表
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.
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.
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.
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.
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 Best Paper Award (Design and Manufacturing Focus Issue) in 2023.
INFORMS Quality, Statistics and Reliability (QSR) Best Student Paper Award Finalist in 2021.
ASME MSEC Best Poster Award in 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 Best Paper Award (Data Science, Quality and Reliability Focus Issue) in 2023
Research Featured by the ISE Magazine
Editor’s Choice to an IISE Transactions Invited Session at INFORMS 2021.
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.
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.
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 Quality, Statistics and Reliability (QSR) Best Refereed Paper Award Finalist in 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.
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.
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.
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.
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.
学术服务
国际期刊编委：
Associate Editor for the IISE Transactions (January 2021~ now)
Associate Editor for the Journal of Intelligent Manufacturing (November 2020~now)
Associate Editor for the IEEE Transactions on Neural Networks and Learning Systems (July 2022~now)
Editorial Board Member for the PNAS Nexus (May 2023 ~ May 2026)
Editorial Board Member for the Manufacturing Letters (2022~now)
Editorial Board Member for the INFORMS-Springer Book Series (March 2022~now)
专业组织服务：
