张晨，助理教授
联系信息 姓名：张晨 办公电话： +86-10-6279-6135 邮箱：发送邮件 传真号码：+86-10-6279-4399 地点：清华大学舜德楼南602 教师主页： http://www.ie.tsinghua.edu.cn/zhangchen




个人简介 张晨，清华大学工业工程系助理教授。2012年于天津大学获得电子科学与技术(光电子方向)学士学位。2017年于新加坡国立大学获得工业系统工程管理博士学位。研究方向包括基于统计学方法和人工智能方法的大规模复杂系统建模、在线监控、异常检测、 自适应数据采集，以及分布式计算策略。
更多信息请访问主页：http://www.ie.tsinghua.edu.cn/zhangchen
张晨老师每年都有计划招收博士后，博士和硕士， 欢迎具有良好数学基础，擅长编程，并且热爱学术的同学发送简历到 zhangchen01@tsinghua.edu.cn

所获奖励 美国质量协会（ASQ）Brumbaugh Award, 2019
IISE Transactions最佳论文奖, 2018
新加坡半导体金牌, 2018
管理科学与运筹学会（INFORMS）数据挖掘(DM)分会 最佳论文奖, 2017
管理科学与运筹学会（INFORMS）质量统计可靠性(QSR)分会 最佳学生展板奖, 2016

教育背景 2013— 2017 新加坡国立大学 工业系统工程管理 博士
2008—2012 天津大学 电子科学与技术 学士

工作经历 2018— : 清华大学工业工程系 助理教授
研究兴趣 系统信息学：复杂系统（如制造，服务系统）过程监控，优化，可靠性分析
数据挖掘：商业数据分析与解决方案
智能医学：个性化医疗， 基于人工智能的医学影像分析

论文发表
期刊:
1. Zhang, C., Hoi, C.H., and Tsung, F. (2019). Multivariate Functional Data Modeling via Nonnegative Functional Factorization with Time Warping, submitted.
2. Wu, J., Xu, H., Zhang, C., and Yuan, Y. (2019). A Sequential Bayesian Partitioning Approach for Online Steady-State Detection of Multivariate Systems, in press, IEEE Transactions on Automation Science and Engineering.
3. Zhang, C., Chen, N. and Wu, J. (2019). Spatial Rank based High-dimensional Monitoring Through Random Projection, accepted, Journal of Quality Technology.
4. Zhang, C., Yan, H., and Shi, J. (2018). Dynamic Multivariate Functional data Modeling via Sparse Subspace Learning, submitted (2017 INFORMS Data Mining Section Best Paper Award).
5. Zhang, C., and Chen, N. (2018). Statistical Analysis of Simulation Outputs from Parallel Computing, ACM Transactions on Modeling and Computer Simulation (TOMACS), 28(3), 21-35.
6. Zhang, C., Yan, H., Lee, S., and Shi, J. (2018). Multichannel Profile Monitoring based on Sparse Multichannel Functional Principal Component Analysis, IISE Transactions, 50:10, 878-891(2016 INFORMS Quality, Statistics, and Reliability Section Best Student Poster Award).
7. Zhang, C., Yan, H., Lee, S., and Shi, J. (2017). Multiple Profiles Sensor-Based Monitoring and Anomaly Detection, accepted, Journal of Quality Technology, 50:4, 344-362.
8. Zhang, C., Lei, Y., Zhang, L., Chen N. (2017). Modeling Tunnel Profile in Presence of Coordinate Errors: A Gaussian Process Based Approach, IISE Transactions, 49(11), 1065-1077.
9. Zhang, C., Chen, N., and Li, Z. (2016). State Space Modeling of Autocorrelated Multivariate Poisson Counts, IISE Transactions, 49(5), 518-531.
10. Zhang, C., Chen, N., and Zou, C. (2016). Robust Multivariate Control Chart Based on Goodness-of-fit Test, Journal of Quality Technology, 48(2), 139-161.
会议:
1. Zhang, C., and Hoi, C.H. (2019). Online Learning for Partially Observable Multisensor Sequential Change Detection, AAAI 2019.
2. Wang, R., Chen, N. and Zhang, C. (2018). Clustering Subway Station Arrival Patterns Using Weighted Dynamic Time Warping, in 2018 IEEM, pp 531-535.
3. Zhang, C., Zhang, L., and Chen, N. (2017). Spectral Network Approach for Multi-channel Profile Data Analysis with Applications in Advanced Manufacturing, in 2017 IEEM, pp. 1709-1713.
4. Zhang, C., Chen, N., and Zhang, L. (2016). Time Series of Multivariate Zero-inflated Poisson Counts, in 2016 IEEM pp. 1365-1369.
5. Zhang, C., and Chen, N. (2015). Statistical Monitoring of Longitudinal Categorical Survey Data, in 2015 IEEM pp. 1397-1401.
6. Zhang, C., and Chen, N. (2014). Robust On-line Monitoring for Univariate Processes Based on Two Sample Goodness-of-fit Test, in 2014 IEEM pp. 813-817.