Qiao Yan
Associate Professor
Department: Department of Engineering Science
Office: A415
E-mail: yqiao@must.edu.mo

Academic Qualification

Ph.D. in Mechanical Engineering, Guangdong University of Technology, Guangzhou, China

Bachelor in Industrial Engineering, Guangdong University of Technology, Guangzhou, China

 

Teaching Area

Intelligent Control

Introduction to Algorithms

Operations Research

 

Research Area

Semiconductor Smart Manufacturing

Machine Learning and Its Applications

Scheduling and Control

 

Professional Services

Associate Editor, IEEE Robotics and Automation Magazine, since 2024

Associate Editor, IEEE International Conference on Automation Science and Engineering, 2024

Associate Editor, IEEE Systems Man and Cybernetics Conference, 2023 and 2024

 

Working Experience

July 2022 ~ Present, Associate Professor, Department of Engineering Science, Faculty of Innovation Engineering, MUST

Jan. 2018 ~ June 2022, Assistant Professor, Institute of Systems Engineering, MUST

Jan. 2016 ~ Dec. 2017, Postdoctoral Fellow, Institute of Systems Engineering, MUST

Sep. 2014 ~ Sep. 2015, Visiting Student, Department of Electrical and Computer Engineering, New Jersey Institute of Technology, USA

 

Academic Publication (selected)

1.          Q. Jiang, D. N. Liu, H. B. Zhu, B. Y. Huang, N. Q. Wu, and Y. Qiao*, “Quasi group role assignment with agent satisfaction in self-service spatiotemporal crowdsourcing,” IEEE Transactions on Computational Social Systems, accepted.

2.          Q. Jiang, D. N. Liu, H. B. Zhu, S. J. Wu, N. Q. Wu, X. Luo, and Y. Qiao*, “Iterative role negotiation via the Bi-level GRA++ with decision tolerance,” IEEE Transactions on Computational Social Systems, accepted.

3.          C. R. Pan, Y. M. Lai, Y. Qiao*, N. Q. Wu, and X. Luo, “Cycle time analysis for cluster tools with parallel process chambers, processing time variation, and chamber cleaning operations,” Expert Systems With Applications, vol. 255, Part A, https://doi.org/10.1016/j.eswa.2024.124471, Dec. 2024.

4.          C. Y. Zou, G. H. Wang, L. Gu, J. Li, N. Q. Wu, and Y. Qiao*, “Scheduling of time-constrained single-arm cluster tools with two-space process modules in semiconductor manufacturing,” IEEE Robotics and Automation Letters, vol. 9, no. 7, pp. 6352-6359, July 2024.

5.          Y. F. He, Y. Qiao*, N. Q. Wu, J. W. Leng, and X. Luo, “Scheduling analysis of automotive glass manufacturing systems subject to sequence-independent setup time, no-idle machines, and permissive maximum total tardiness constraint,” Engineering Applications of Artificial Intelligence, vol. 133, July 2024.

6.          H. C. Fu, Y. Qiao*, L. P. Bai, N. Q. Wu, B. Liu, and Y. F. He, “Development of fault detection systems: the Hadoop ecosystem implementation,” IEEE Robotics and Automation Magazine, vol. 30, no. 2, pp. 22-33, June 2023.

7.          W. Q. Xiong, J. Li, Y. Qiao*, L. P. Bai, B. Y. Huang, and N. Q. Wu, “An efficient scheduling method for single-arm cluster tools with multi-functional process modules,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 53, no. 6, pp. 3270-3283, June 2023.

8.          Y. J. Lu, J. Li, Y. Qiao*, Z. W. Li, N. Q. Wu, and C. R. Pan, “An effective scheduling method to single-arm cluster tools for processing multiple wafer types,” Journal of Industrial and Management Optimization, vol. 19, no. 6, pp. 4450-4480, June 2023.

9.          Y. Qiao, N. Q. Wu, Y. F. He, Z. W. Li, and T. Chen, “Adaptive genetic algorithm for two-stage hybrid flow-shop scheduling with sequence-independent setup time and no-interruption requirement,” Expert Systems With Applications, vol. 208, pp. 1-13, Dec. 2022.

10.      Y. Qiao, Y. J. Lu, J. Li, S. W. Zhang, N. Q. Wu, and B. Liu, “An efficient binary integer programming model for residency time-constrained cluster tools with chamber cleaning requirements,” IEEE Transactions on Automation Science and Engineering, vol. 19, no. 3, pp. 1757-1771, July 2022.

11.      Y. Qiao, M. C. Zhou, N. Q. Wu, Z. W. Li, and Q. H. Zhu, “Closing-down optimization for single-arm cluster tools subject to wafer residency time constraints,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 51, no. 11, pp. 6792-6807, November 2021.

12.      Y. Qiao, S. W. Zhang, N. Q. Wu, M. C. Zhou, Z. W. Li, and T. Qu, “Efficient approach to failure response of process module in dual-arm cluster tools with wafer residency time constraints,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 51, no. 3, pp. 1612-1629, March 2021.

13.      W. Q. Xiong, C. R. Pan, Y. Qiao*, N. Q. Wu, M. X. Chen, and P. H. Hsieh, “Reducing wafer delay time by robot idle time regulation for single-arm cluster tools,” IEEE Transactions on Automation Science and Engineering, vol. 18, no. 4, pp. 1653-1667, Oct. 2021.

14.      W. Q. Xiong, Y. Qiao*, L. P. Bai, M. Ghahramani, N. Q. Wu, P. H. Hsieh, and B. Liu, “Wafer reflectance prediction for complex etching process based on K-Means clustering and neural network,” IEEE Transactions on Semiconductor Manufacturing, vol. 34, no. 2, pp. 207-216, May 2021.

15.      Y. Qiao, S. W. Zhang, N. Q. Wu, X. Wang, Z. W. Li, M. C. Zhou, and T. Qu, “Data-driven approach to optimal control of ACC systems and layout design in large rooms with thermal comfort consideration by using PSO,” Journal of Cleaner Production, vol. 236, DOI: 10.1016/j.jclepro.2019.07.053, 2019.

16.      Y. Qiao, N. Q. Wu, F. J. Yang, M. C. Zhou, Q. H. Zhu, and T. Qu, “Robust scheduling of time-constrained dual-arm cluster tools with wafer revisiting and activity time disturbance,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 49, no. 6, pp. 1228-1240, June 2019.

17.      Y. Qiao, N. Q. Wu, F. J. Yang, M. C. Zhou, and Q. H. Zhu, “Wafer sojourn time fluctuation analysis of time-constrained dual-arm cluster tools with wafer revisiting and activity time variation,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 48, no. 4, pp. 622-636, April 2018.

18.      X. Wang, Y. Qiao*, N. Q. Wu, Z. W. Li, and T. Qu, “On optimization of thermal sensation satisfaction rate and energy efficiency of public rooms: a case study,” Journal of Cleaner Production, vol. 176, pp. 990-998, 2018.

19.      Y. Qiao, M. C. Zhou, N. Q. Wu, and Q. H. Zhu, “Scheduling and control of startup process for single-arm cluster tools with residency time constraints,” IEEE Transactions on Control Systems Technology, vol. 25, no. 4, pp. 1243-1256, July 2017.

20.      Y. Qiao, C. R. Pan, N. Q. Wu, and M. C. Zhou, “Response policies to process module failure in single-arm cluster tools subject to wafer residency time constraints,” IEEE Transactions on Automation Science and Engineering, vol. 12, no. 3, pp. 1125-1139, July 2015.

21.      Y. Qiao, N. Q. Wu, and M. C. Zhou, “Schedulability and scheduling analysis of dual-arm cluster tools with wafer revisiting and residency time constraints based on a novel schedule,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 45, no. 3, pp. 472-484, March 2015.

22.      Y. Qiao, N. Q. Wu, Q. H. Zhu, and L. P. Bai, “Cycle time analysis of dual-arm cluster tools for wafer fabrication processes with multiple wafer revisiting times,” Computers & Operations Research, vol. 53, pp. 252-260, January 2015.

23.      Y. Qiao, N. Q. Wu, C. R. Pan, and M. C. Zhou, “How to respond to process module failure in residency time-constrained single-arm cluster tools,” IEEE Transactions on Semiconductor Manufacturing, vol. 27, no. 4, pp. 462-474, Nov. 2014.

24.      Y. Qiao, N. Q. Wu, and M. C. Zhou, “Scheduling of dual-arm cluster tools with wafer revisiting and residency time constraints,” IEEE Transactions on Industrial Informatics, vol. 10, no. 1, pp. 286-300, Feb. 2014.

25.      Y. Qiao, N. Q. Wu, and M. C. Zhou, “A Petri net–based novel scheduling approach and its cycle time analysis for dual-arm cluster tools with wafer revisiting,” IEEE Transactions on Semiconductor Manufacturing, vol. 26, no. 1, pp. 100-110, Feb. 2013.

26.      Y. Qiao, N. Q. Wu, and M. C. Zhou, “Real-time scheduling of single-arm cluster tools subject to residency time constraints and bounded activity time variation,” IEEE Transactions on Automation Science and Engineering, vol. 9, no. 3, pp. 564-577, July 2012.

27.      Y. Qiao, N. Q. Wu, and M. C. Zhou, “Petri net modeling and wafer sojourn time analysis of single-arm cluster tools with residency time constraints and activity time variation,” IEEE Transactions on Semiconductor Manufacturing, vol. 25, no. 3, pp. 432-446, August 2012.

 

Research Grants (selected)

2019.01 – 2021.12    Modeling, Control and Scheduling of Cluster Tools with Complex Constraints (NSFC)

2021.09 – 2024.09    Digital-twin driven scheduling and control of wafer fabrication systems (FDCT)

 

Patents (selected)

U.S. Patent 10,101,721 B2, System and method for determining an optimal schedule of a production line.

U.S. Patent 10,134,613 B2, Cluster tool apparatus and a method of controlling a cluster tool apparatus.

U.S. Patent 10,073,444 B2, Petri net-based optimal one-wafer cyclic scheduling of treelike hybrid multi-cluster tools.

U.S. Patent 10,001,773 B2, Optimal one-wafer scheduling of single-arm multi-cluster tools with tree-like topology.

U.S. Patent 9,618,930 B1, Scheduling start-up process for time-constrained single-arm cluster tools.

 

Professional Certification and Awards (selected)

2022 Best Semiconductor Manufacturing Automation Paper in Application from Technical Committee on Semiconductor Manufacturing Automation of IEEE Robotics and Automation Society.

Best Paper Award in Application, for the paper “A virtual wafer-based scheduling method for dual-arm cluster tools with chamber cleaning requirements,” by Y. Qiao, J. Li, Y. J. Lu, S. W. Zhang, N. Q. Wu, and B. Liu, IEEE International Conference on Networking, Sensing and Control, Xiamen, China, December 3-5, 2021.

2021 Hsue-shen Tsien Paper award of IEEE/CAA Journal of Automatica Sinica for the paper “Polynomial approach to optimal one-wafer cyclic scheduling of treelike hybrid multi-cluster tools via Petri nets,” by F. J. Yang, N. Q. Wu, Y. Qiao, and R. Su.

BOC Excellent Research Award in 2018.

 

Student Awards

Liangchao Chen --- 2022/2023 Academic Year Scholarship Award by YGSoft Inc.

 

Professional Society Membership

Senior Member, IEEE