The bachelors's degree in Industrial Engineering at Tsinghua requires 170 credits totally, which include: spring & fall courses 142 credits, summer practicum 13 credits, and thesis project 15 credits. The 170 credits constitution is: General
The Master of Science degree in Industrial Engineering is offered to all students who finish the Industrial Engineering program usually in 2 years. Besides the required Master's thesis, the Industrial Engineering program requires 30 credits, con
The Philosophy of Doctor degree in Industrial Engineering is offered to all students who finish the Industrial Engineering program in at least 3 to 5 years.
PEOThe current PEO is:Employ industrial engineering theories, and analytical and management skills for incre
The Department of Industrial Engineering is devoted to solving efficiency, quality, cost and safety problems in industrial and service systems.
The challenges in contemporary society are mostly complicated system problems, such as management of global production networks, establishment of efficient public healthcare systems, construction of traffic and transport systems and their operation networks, and maintaining secured and effective energy supply systems. These challenges involve not only c
We apply state-of-the-art decision science and statistics knowledge to the development of the Chinese economy. To be specific, we use data-driven decision...
The Engineering system group in the Department of Industrial Engineering of Tsinghua University endeavors to improve understanding about the nature of operations in engineering systems, such as, production systems, service systems (logistics, healthcare,
Human Factor and Ergonomics studies the correlations and interactions between human, tool, machine and environment in system, and promote the total productivity of human-machine system as well as people's health, security and the quality of life.
The research centers at the department are platforms for the collaboration and communication between the department and industries. They serve through research, technology transfer, management consulting, and continuous education & training. Below are research centers run by the department:
The IE department has four laboratories: Human Factors Engineering Lab (HFEL), Logistics Engineering Lab (LEL), Production Engineering Lab (PEL), and Computing and Simulation Lab (CSL).
The department is well structured by a team of 30 highly qualified faculty members, including 7 full professors, 17 associate professors, and 6 assistant professors. The founding chaired professor and department head is Dr. Gavriel Salvendy, who is a prof
Dr. Gavriel Salvendy
Chair of the Review Board
University Distinguished Professor
University of Central Florida,and President Academy of Science, Engineering and Medicine of Florida
Member of National Academy of Engineering, US
Dr Hubertus ChristPresident of VDI ( Verein Deutscher Ingenieure,Germany)Time of appointment: 2002-2008Mr. Tome LeamonVi
[Time] 9:00-10:00, April 11 (Saturday), 2020
Lotus Pond Rain Classroom: W141WB
ZOOM ID: 660 896 190
Tencent ID: 526 217 861
[Speaker] Dr. Luyi Yang
[Title] A Model of Queue-Scalping
The department has one associate chair as the department-level student advisory board director. The board has an undergraduate branch and a graduate branch. Each branch is formed by class advisors, class assistants, student union, Youth League, and Science/Technology Association.
The IE department has eight undergraduate classes (each grade has two classes of about 70 students). Also we have two faculty members as the advisors for the freshmen, two for the sophomores, one for the juniors, and o
The students are required to participate in extracurricular activities in order to prepare themselves with not only knowledge in IE, but also Teamwork and interpersonal skills, Leadership, and Social responsibilities.
The university-level student advisor
The Bachelor program requires 173 credits, consisting of 136 credits in spring/fall semesters, 4 credits in senior projects, 18 credits in summer practice and military training, and 15 credits of a final thesis. The courses are classified into five categories: Humanities and Social Sciences, core engineering courses, core Industrial Engineering courses, summer practice and internship, and a thesis component.
International programs have been initiated since 2001 including the Tsinghua-Aachen joint master program and Tsinghua-Gatech exchange program. And a two-year, professional-orientated Master's program in Management Science and Engineering (Global Manufacturing) was founded in 2009 for students with a global vision in management science and engineering, with special focus on the manufacturing industry in China.
The doctoral degree program usually lasts 3 to 5 years. Students with Master's degree usually spend 3 to 4 years. The program has 22 credits consisting of 13 credits of core courses, and 5 credits of research requirements. Students without an IE related Master's degree shall take prerequisite courses suggested by the advisor.
Admissions to the International Program of Master of Engineering Management (iMEM)
I am an Associate Professor in Industrial Engineering, Tsinghua University. I received my Ph.D. degree from National University of Singapore in 2017, and my B.Eng. degree from Tianjin University in 2012. My research interests include developing methodologies and algorithms for complex or large-scale systems with multivariate or high-dimensional data, including intelligent sampling and sensing for data collection, data mining and information extraction for system modeling, and on-line monitoring and efficient anomaly detection for streaming data.
Research Opportunities and Job Vacancy: I am now looking for self-motivated Ph.D. students with strong math and coding background. I am also hiring Postdoc, Research Assistants/Associates for exciting machine learning research and industry-scale data science project. Interested applicants, please email your CV to: firstname.lastname@example.org
Referred Journals and Transactions:
13. Li, Z., Yan, H., Zhang, C. Tsung, F. (2020). Long-Short Term Spatiotemporal Tensor Prediction for Passenger Flow Profile, IEEE Robotics and Automation Letters.
12. Zhang, C. and Hoi, C.H. (2020) A Data-Driven Method for Online Monitoring Tube Wall Thinning Process in Dynamic Noisy Environment, accepted, IEEE Transactions on Automation, Systems and Engineering.
11. Zhang, C., Hoi, C.H. and Tsung, F. (2020). Multivariate Functional Data Modeling via Nonnegative Functional Factorization with Time Warping, accepted, ACM Transactions on Knowledge Discovery from Data.
10. Xian, X., Zhang, C., Bonk, S., and Liu, K. (2019). Online Monitoring of Big Data Streams: A Rank-based Sampling Algorithm by Data Augmentation," in press, Journal of Quality Technology.
9. 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.
8. Zhang, C., Chen, N. and Wu, J. (2019). Spatial Rank based High-dimensional Monitoring Through Random Projection, accepted, Journal of Quality Technology.
7. Zhang, C., Yan, H., Lee, S., and Shi, J. (2020). Dynamic Multivariate Functional data Modeling via Sparse Subspace Learning, accepted, Technometrics (2017 INFORMS Data Mining Section Best Paper Award).
6. 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.
5. 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).
4. 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.
3. 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.
2. Zhang, C., Chen, N., and Li, Z. (2016). State Space Modeling of Autocorrelated Multivariate Poisson Counts, IISE Transactions, 49(5), 518-531.
1. 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.
7. Li, Z., Yan, H., Zhang, C. and Tsung, F (2020). Tensor Completion for Weakly-dependent Data on Graph for Metro Passenger Flow Prediction", accepted, 34th AAAI Conference on Artificial Intelligence, 2020.
6. Zhang, C., and Hoi, C.H. (2019). Online Learning for Partially Observable Multisensor Sequential Change Detection, 33rd AAAI Conference on Artificial Intelligence 2019.
5. Wang, R., Chen, N. and Zhang, C. (2018). Clustering Subway Station Arrival Patterns Using Weighted Dynamic Time Warping, in 2018 IEEM, pp 531-535.
4. 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.
3. Zhang, C., Chen, N., and Zhang, L. (2016). Time Series of Multivariate Zero-inflated Poisson Counts,in 2016 IEEM pp. 1365-1369.
2. Zhang, C., and Chen, N. (2015). Statistical Monitoring of Longitudinal Categorical Survey Data, in 2015 IEEM pp. 1397-1401.
1. 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.