Academic Qualification

Ph.D. in Industry Engineering, Guangdong University of Technology

Master in Mechatronics Engineering, Shenyang Institute of Automation, Chinese Academy of Sciences

Bachelor in Mechanical Engineering, Northeastern University

Teaching Area

Industry Engineering, Operations Research, Production Planning and Control, Information system, E-Commerce, Information Technology, Calculus

Research Area

Production planning and scheduling, Discrete event system, Petri net,

building energy saving, Intelligent Traffic Systems, Data Science

Working Experience

2013 ~ present, Associate Professor, Faculty of Information Technology, MUST,

2007 ~ 2013, Associate Professor, Department of Industrial Engineering, Guangdong University of Technology

2003 ~ 2007, Lecturer, Department of Industrial Engineering, Guangdong University of Technology

1995 ~ 1997, Assistant Engineer, Shenyang Transformer Co., Ltd

Academic Publication (selected)

1.        Mo D, Bai L*, Huang W, et al. TBM disc cutter wear prediction using stratal slicing and IPSO-LSTM in mixed weathered granite stratum[J]. Tunnelling and Underground Space Technology, 2024, 148: 105745.

2.        Xinyuan Tian , Bingqin Pan , Liping Bai,∗ , Guangbin Wang and Deyun Mo, Fruit Picking Robot Arm Training Solution Based on Reinforcement Learning in Digital Twin, Journal of ICT Standardization, Vol. 11_3,261–282.

3.       Xinyuan Tian,Bingqin Pan,Liping Bai*, and Deyun Mo, Md-Pred: A Multidimensional Hybrid Prediction Model Based on Machine Learning for Hotel Booking Cancellation Prediction, International Journal of Pattern Recognition and Artificial Intelligence,Vol. 37, No. 05, 2351009 (2023), https://doi.org/10.1142/S0218001423510096.

4.       WenQing Xiong, Jie Li, Yan Qiao, LiPing Bai, BaoYing Huang , and NaiQi Wu , An Efficient Scheduling Method for Single-Arm Cluster Tools With Multifunctional Process Modules, IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS: SYSTEMS, VOL. 53, NO. 6, JUNE 2023.

5.       Longqing Zhang, Hongming Chen, Jianwen Gan, Liping Bai *, Xinwei Zhang, Lei Yang, Yanghong Zhang, Underground Garage Patrol Based on Road Marking Recognition by Keras and Tensorflow, Applied Sciences, 2023, 13(4), 2385, 13 February 2023. https://doi.org/10.3390/app13042385.

6.       HuiChu Fu, Yan Qiao, LiPing Bai, Wu Naiqi, Bin Liu, YunFang He, Development of Fault Detection Systems: The Hadoop Ecosystem Implementation, IEEE Robotics and Automation Magazine, 30 (2) , pp.22-33, 2023..

7.      WenQing Xiong, Yan Qiao, LiPing Bai, BaoYing Huang, and NaiQi Wu, SiWei Zhang, An Adaptive Method for Flexible Configurations of Single-Arm Cluster Tools: Modeling and Scheduling, 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE) August 20-24, 2022. Mexico City, Mexico.

8.      Longqing zhang， Liping Bai; XinWei Zhang; Lei Yang，Liwei Tian and Yanghong hang,  Multi-Factor Indicator of CHIC Intelligent Lighting System with Personal in the Office，The Journal of Supercomputing,  78 (8) , pp.10757-1077

9.      W. Q. Xiong, Y. Q, L. P. Bai, M. Ghahramani, N. Q. Wu, and P. H. Hsieh, Wafer Reflectance Prediction for Complex Etching Process Based on K-Means Clustering and Neural Network, IEEE transactions on semiconductor manufacturing, Vol. 34, no. 2, 207 – 216, 2021 .

10.    WenQing Xiong, Yan Qiao, NaiQi Wu, LiPing Bai, MingXin Chen, and PinHui Hsieh. "Robot Waiting Time Analysis and Its Impact on Wafer Delay Time of Single-Arm Cluster Tools," In Proceedings of the 15th International Workshop on Discrete Event Systems, Rio de Janeiro, Brazil (Virtual conference),  November, 11-13, 2020.

11.    L.Q. Zhang, L. P. Bai, X. W. Zhang, Y. H. Zhang, F. Sun, C. C Chen, Comparative variance and Multiple Imputation Used for Missing Values in Land Price DataSet, Computers, Materials & Continua, vol. 61, no.3, 1175 – 1187, 2019.

12.    L.Q. Zhang, L. P. Bai, X. W. Zhang, Y. H. Zhang, Y. L, X. D. Yan, Cultivated land monitoring system based on dynamic wake-up UAV and wireless of distributed storage, Computers, Materials & Continua,  vol. 61, no.2, 817 – 828, 2019.

13.    L.Q. Zhang, L. P. Bai, L.W. Tian, X. W. Zhang, Y. H. Zhang, J.F. Li, X.D. Yan, Difference of Visual Information Metric Based on Entropy of Primitive, The 5th International Conference on Artificial Intelligence and Security, New York, USA, July 1-July 3, 2019.

14.    L. P. Bai, N. Q. Wu, Z. W. Li and M. C. Zhou, Optimal One-wafer Cyclic Scheduling and buffer space configuration for single-arm multi-cluster tools with linear topology, IEEE Transactions on Systems, Man, & Cybernetics, 2016, 46(10):1456-1467.

15.    L. P. Bai, N. Q. Wu, Z. W. Li and M. C. Zhou, Buffer Space Configuration and Scheduling Analysis of Single-Arm Multi-cluster Tools, Proceedings of the 13th International Workshop on Discrete Event Systems, Xi'an, China, May 30 - June 1, 2016.

16.    L. Q. Zhang, L. p. Bai, Q. Y, X. W. Zhang, Y. H. Zhang, F. Sun, Multi-factor indicator intelligent lighting system based on bp neural network，the 2020 International Conference on Innovative Computing and Management Science (ICMS 2020), Yilan, Taiwan.

17.    F. J. Yang, N. Q. Wu, L. P. Bai, and M. C, Optimal One-Wafer Cyclic Scheduling Analysis of Transport-dominant Single-Arm Multi-Cluster Tools. 2016 IEEE International Conference on Automation Science and Engineering (CASE) Fort Worth, TX, USA, August 21-24, 2016.

18.    N. Q. Wu, L. P. Bai, and M. C. Zhou, An Efficient Scheduling Method for Crude Oil Operations in Refinery With Crude Oil Type Mixing Requirements, IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 46, no.3, 413 – 426, 2016.

19.    N. Q. Wu, M. C. Zhou, L. P. Bai, Short-term scheduling of crude oil operations in refinery with high fusion point oil and two transportation pipelines, Enterprise Information Systems, Vol. 10, No. 6, 581–610, 2016

20.    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, no.1, 252-260, 2015.

21.    N. Q. Wu, M. C. Zhou and L. P. Bai, Control-Theoretic and Model-Based Scheduling of Crude oil Transportation for Refinery Industry, IEEE International Conference On Robotic and Automation (ICRA), 2014.

22.    N. Q. Wu, L. P. Bai, and M. C. Zhou, Linear programming-based approach to refining scheduling of crude oil operations in refinery with oil type mixing requirement, 2014 IEEE International Conference on Automation Science and Engineering, 430-435, August 18-22, 2014.

23.    N. Q. Wu, L. P. Bai, M. C. Zhou, F. Chu, and S. Mammar, A novel approach to optimization of refining schedules for crude oil operations in a refinery, IEEE Transactions on Systems, Man, & Cybernetics, Part C, vol. 42, no. 6, 1042-1053, 2012.

24.    N. Q. Wu, L. P. Bai, and C. B. Chu, Modeling and Conflict Detection of Crude Oil Operations for Refinery Process Based on Controlled Colored Timed Petri Net, IEEE Transactions on Systems, Man and Cybernetics, Part C, vol. 37, no. 4, 461-472, 2007.

Research Grants

2023 -- 2025 Research on real-time prediction and adjustment strategy of wear of super large diameter shield cutter group in Mixed Stratum (FDCT-GDST)

2022 ---2024 Garbage sorting system based on deep learning and multi-manipulate or collaboration (FDCT)

2019 -- 2022 Optimal Scheduling and Control of Cluster Tools for Wafer Fabrication with Strict Process Constraints in Semiconductor Manufacturing (FDCT)

2018 -- 2022 Optimal Operations and Collaborative Control of Tree-like Multicluster Tools (FDCT)

2018 -- 2021 State Space Characterization of Resource Allocation Systems: An Algebraic Approach (FDCT)

2014 – 2017 Optimal Scheduling and Operation of Multi-robot Production Systems in the Perspective of Discrete Event System Theory (FDCT)                                      

2013 -- 2016 Short-Term Scheduling Optimization for Continuous Process Industry by Using Hybrid System Control Theory (FDCT)                                         

Patents

US 10520914 B2, 2019.12. Multi-cluster tool system and a method of controlling a multi-cluster tool system.

Chinese Patent No. ZL 201610018584.4, 2018. Optimal Buffer Space Configuration and Scheduling for
Single-Arm Multi-cluster Tools

US9227318 B1, 2016, Australia Patent, 2015100136. Optimal buffer space configuration and scheduling for single-arm multi-cluster tools

Australia Patent, 2014100521, Short-term scheduling method of crude oil operations in refinery for systems with two transportation pipelines.

Australia Patent, 2014100481, Linear programming-based method for refining scheduling crude oil operations in refinery with crude oil type mixing requirements.

Professional Certification and Awards

複雜製造裝備和生產系統控制與調度新技術”與2016年獲澳門科學技術發明三等獎.