Jianqi An, Professor with the School of Automation, China University of Geosciences.

He received his B.S., M.S., and Ph.D. degrees in engineering from Central South University, Changsha, China, in 2004, 2007, and 2011, respectively. He was a faculty member of the School of Information Science and Engineering, Central South University from 2009 to 2014. In September 2014, he joined the China University of Geosciences, Wuhan, China, where he is a professor with the School of Automation. He was an international research fellow of Japan Society for the Promotion of Science (JSPS) with the Department of Computational Intelligence and System Science, Tokyo Institute of Technology, Yokohama, Japan, from 2016.11 to 2018.3, and with the School of Engineering, Tokyo University of Technology, Tokyo, Japan, from 2018.4 to 2018.12.

At present, his current research interests include intelligent system control, detection, advanced control theory and applications for complex industrial process, robot control, information fusion, virtual reality simulation and implementation, etc. He has published 95 papers, applied 59 patents (36 of them were authorized). Now, he  supervises the students who want to study for Ph. D. degrees or master degrees in control science and engineering.

He is currently a member of the IEEE, the Chinese Association of Automation, and the Chinese Association of Artificial Intelligence.

Some of Publications

1. Recent journal papers

[1]  Jianqi An, Feng Yin, Min Wu, Jinhua She, Xin Chen. Multi-source wind speed fusion method for short-term wind power prediction. IEEE Transactions on Industrial Informatics, 2020. DOI: 10.1109/TII.2020.3006928.

[2]  Jianqi An, Huicong Chen, Min Wu, Wangyong He, Jinhua She. Two-layer fault diagnosis method for blast furnace based on evidence-conflict reduction on multiple time scales. Control Engineering Practice, 2020. DOI: 10.1016/j.conengprac.2020.104474.

[3]    Jianqi An, Yibo Huang, Min Wu*, Jinhua She. Two-level data-based adjustment of controller parameters for weighing process of ladle furnace. IEEE Transactions on Industrial Informatics, 2020, 16(12):7658-7670.

[4]    Jianqi An, Xiaoling Shen, Min Wu*, Jinhua She. A multi-time-scale fusion prediction model for the gas utilization rate in a blast furnace. Control Engineering Practice, 2019. DOI: 10.1016/j.conengprac.2019.104120.

[5]    Jianqi An, Junyu Yang, Min Wu, Jinhua She, Takao Terano. Decoupling control method with fuzzy theory for top pressure of blast furnace. IEEE Transactions on Control Systems Technology, 2018, DOI: 10.1109/TCST.2018.2862859.

[6]    Jianqi An, Jialiang Zhang, Min Wu, Weihua Cao, Takao Terano. Soft-sensing method for slag-crust state of blast furnace based on two-dimensional decision fusion. Neurocomputing, 2018, 315:405-411.

[7]    Jianqi An, Min Wu, Jinhua She, Takao Terano. Re-optimization strategy for lift-path planning for truck crane. Automation in Construction, 2018, 90:146-155. 

[8]    Huang Yibo, Jianqi An *, Yong He, Min Wu. Quasi-convex combination method and its application to the stability analysis of 2-D discrete-time Roesser systems with time-varying delays. IET Control Theory & Applications, 2018, 12 (6): 718-727.            

[9]    Jianqi An, Min Wu, Yong He, Weihua Cao. Soft-sensing Method of Gas Flow Distribution of Blast Furnace Burden Surface Based on Multi-level Hierarchical Fusion Algorithm. Acta Automatica Sinica, 2011, 37 (4): 496-502. In Chinese.

[10] Jianqi An, Yang Liu, Min Wu. Reconstruction of 3D model of gas flow distribution in blast furnace throat. Control Theory & Applications, 2014, 31 (5): 624-631. In Chinese.

2. Recent conference papers

[1] Xiaoling Shen, Jianqi An*, Min Wu, Jinhua She. Burden control strategy based on reinforcement  learning for gas utilization rate in blast furnace. Proceedings of the 21th World Congress of the International Federation of Automatic Control (IFAC2020), Berlin, German, Jul. 11-17, 2020 Online.

[2]    Jianqi An, Zhangbing Chen, Min Wu, Jinhua She, Min Ding. A multi-source wind speed fusion method for wind power prediction based on kNN-SVR. Proceedings of IEEE IECON 2018 Conference, Washington, D.C., USA, Oct. 21-23, 2018.

[3]    Huicong Chen, Jianqi An*. Burden distribution decision for blast furnace based on multiple condition state. Proceedings of the 37th Chinese Control Conference, Wuhan, China, 2018.

[4]    Jianqi An, Yuwan Yang, Min Wu, Takao Terano. Analysis of influencing factors on carbon monoxide utilization rate of blast furnace based on multi-timescale characteristics. Proceedings of the 36th Chinese Control Conference, Dalian, China, 2017: 4459-4463.

[5]    Jianqi An, Hao Qi, Weirong Liu, Min Wu. A calculation method of crane deflection considering the boom gap. Proceedings of the 10th Asian Control Conference, Kota Kinabalu, Malaysia May. 31 - Jun. 3, 2015, pp: 13-17.  

                                                                                                                                                                                                                                                                                                                            Updated on Jan. 1, 2021