王凯波，博士，博士生导师，清华大学工业工程系教授，教育部高等学校工业工程类专业教指委秘书长，中国机械工程学会工业工程分会副主任委员。2006年在香港科技大学获得博士学位（工业工程与工程管理学），2007年加入清华大学。曾任清华大学工业工程系副主任、研究生院副院长、万科公共卫生与健康学院副院长等。曾任INFORMS学会质量、统计与可靠性（QSR）分会主席。担任《IISE Transactions》部门主编、《Journal of Quality Technology》编审委、《INFORMS Journal on Data Science》副编等。IISE及ASQ资深会员。

主要研究方向为统计质量控制、数字化质量管理、工业大数据分析等。承担国家自然科学基金重点项目、重点研发计划课题，以及多项企业委托课题。完成智能制造系统质量科学方法、半导体生产制造质量提升、企业质量管理体系建设等研究工作。

• 2023 IISE Transactions Service Award (Department Editor of Data Science, Quality and Reliability)

• 2018.11 2017 INFORMS QSR Section Chair

• 2014.6 IIE Transactions 2014 Design & Manufacturing Best Application Paper Award (设计与制造最佳应用论文奖)

• 2012.9 第十三届清华大学“良师益友”

• 2012.4 王凯波老师的研究被美国《工业工程师》杂志介绍。Dr. Kaibo Wang's work was featured on "Industrial Engineer".

• 2011.12 教育部"新世纪优秀人才支持计划" the Program for New Century Excellent Talents in University (NCET)

2002-2006: 香港科技大学 工业工程与工程管理学 博士

1999-2002: 西安交通大学 机械电子工程 硕士

1994-1999: 西安交通大学 机械电子工程 学士

《实验设计》

《高等质量管理学》

《工程管理中的定量分析方法》

王凯波老师也参与《面向数智化的质量管理》《数字化质量管理》《卓越质量管理与质量控制》等培训课程的授课。

王凯波老师参与本科毕业设计、工学及工程管理硕士、以及工学博士、创新领军工程博士的培养工作。

王凯波博士的主要研究方向为统计质量控制，数字化质量管理、工业大数据分析等。

• 复杂产品与系统质量改进

• 数智化质量管理体系建设

• 企业质量管理数字化转型

• Jun Xu, Jie Zhou, Xiaofang Huang, and Kaibo Wang (2024) "Change Point Detection of Multimode Processes Considering Both Mode Transitions and Parameter Changes", IISE Transactions, 56(12), 1263-1278.

• Hao Wu, Qiao Liang, and Kaibo Wang(2023) "Modeling and Monitoring Multilayer Attributed Weighted Directed Networks via a Generative Model", IISE Transactions, 56(8), 902–914.

• Dengyu Li and Kaibo Wang (2023) "Multi-Node System Modeling and Monitoring with Extended Directed Graphical Models", Journal of Quality Technology, 56(1), 38–55.

• Qiao Liang, Shyam Ranganathan, Kaibo Wang, & Xinwei Deng (2023) "JST-RR Model: Joint Modeling of Ratings and Reviews in Sentiment-Topic Prediction", Technometrics, 65(1), 57-69.

• Peiyao Liu, Juan Du, Yangyang Zang, Chen Zhang & Kaibo Wang (2022) "In-profile monitoring for cluster-correlated data in advanced manufacturing system", Journal of Quality Technology, 55(2), 195–219.

• Hang Dong, Kaibo Wang (2022) "Interaction Event Network Modeling based on Temporal Point Process", IISE Transactions, 54(7), 630-642.

• Qiao Liang, Kaibo Wang (2022) "Ratings Meet Reviews in the Monitoring of Online Products and Services", Journal of Quality Technology. 54(2), 197-214.

• Hang Dong, Nan Chen, Kaibo Wang (2020) "Modeling and Change Detection for Count-weighted Multi-layer Networks", Technometrics. 62:2, 184-195.

• Hongyue Sun, Xinwei Deng, Kaibo Wang, Ran Jin(2016) "Logistic Regression for Crystal Growth Process Modeling through Hierarchical Nonnegative Garrote based Variable Selection", IIE Transactions. 28(8), 787-796.

• Wang, X., Wu, Su., Wang, K., Deng, X., Liu, L., and Cai, Q. (2016) "A Spatial Calibration Model for Nanotube Film Quality Prediction", IEEE Transactions on Automation Science and Engineering, 13(2), 903-917.

• Zhang, L., Wang, K. and Chen, N. (2016) "Monitoring Wafer Geometric Quality using Additive Gaussian Processes", IIE Transactions, 48(1), 1-15.

• Wang, X., Wu, S., and Wang, K. (2015) "A Run-to-Run Profile Control Algorithm for Improving the Flatness of Nano-Scale Products", IEEE Transactions on Automation Science and Engineering, 12(1), 192-203.

• He, F., Xie, H. and Wang, K. (2015) "Optimal Setup Adjustment and Control of a Process under ARMA Disturbances", IIE Transactions, 47(3), 230-244.

• Wang, A., Wang, K. and Tsung, F. (2014) "Statistical Surface Monitoring by Spatial-Structure Modeling", Journal of Quality Technology, 46(4), 359–376.

• Han, K. and Wang, K. (2013) "Coordination and Control of Batch-based Multistage Processes", Journal of Manufacturing Systems, 32: 372-381.

• Wang, K. and Han, K. (2013) "A Batch-based Run-to-Run Process Control Scheme for Semiconductor Manufacturing", IIE Transactions, 45(6): 658-669.

• Li, B., Wang, K. and Yeh, A. (2013), "Monitoring the Covariance Matrix via Penalized Likelihood Estimation", IIE Transactions 45(2), 132-146.

• Jiang, W., Wang, K. and Tsung, F. (2012). "A Variable-Selection-based Multivariate EWMA Chart for Process Monitoring and Diagnosis." Journal of Quality Technology 44(3), 209-230.

• Lin J. and Wang, K. (2012). "A Bayesian Framework for Online Parameter Estimation and Process Adjustment using Categorical Observations." IIE Transactions 44, 291-300.

• Wang, K. and Jiang, W. (2009). "High-Dimensional Process Monitoring and Fault Isolation via Variable Selection." Journal of Quality Technology 41(3): 247-258.

• Wang, K. and Tsung, F. (2008). "An Adaptive T2 Chart for Monitoring Dynamic Systems." Journal of Quality Technology 40: 109-123.

• Wang, K. and Tsung, F. (2007). "Run-to-Run Process Adjustment Using Categorical Observations." Journal of Quality Technology 39(4): 312-325.

更多信息，请访问 http://www2.ie.tsinghua.edu.cn/kbwang/