Wang,Kai, Associate Professor, PhD supervisor of Chongqing University, China
He received his Ph.D. degree in control science and engineering from Chongqing University, Chongqing, China, in 2009. He is currently the Associate Professor of the School of Automation, Chongqing University, Chongqing, China, and the Associate Director of Institute of Robotics and Intelligent Systems.
Contact Information
Telephone: +86-13527465838
Email: kaiwang@cqu.edu.cn
Address: Shazheng Street174#, Shapingba District,Chongqing, 400044,China
Education
Ph.D., (E.E.), Chongqing University, Chongqing P. R. China, 2009.
B.S., (E.E.), Sichuan University, Chengdu P. R. China, 2004.
Academic Experience
Associate Professor, 7/2015-present, Chongqing University, Chongqing, P. R. China
Visiting Scholar, 4/2014 – 4/2015, Cornell University, United States
Lecturer, 03/2010– 6/2015, Chongqing University, Chongqing, P. R. China
Research Interests
Robot multi-modal perception and intelligent control
Machine learning and big data processing
Smart City and Internet of Things System
Publications
Part I – Referred Journal Papers (selected)
[1] Y. Tan, K. Wang*, X. Su, F. Xue and P. Shi. “Event-triggered fuzzy filtering for networked systems with application to sensor fault detection.” IEEE Transactions on Fuzzy Systems, 2020, 2020(4).
[2] Q. W. Zhu, Q. Y. Xiong, K. Wang*, W. Lu, and T. Liu, “Accurate WiFi-based indoor localization by using fuzzy classifier and mlps ensemble in complex environment,” Journal of the Franklin Institute-Engineering and Applied Mathematics, vol. 357, no. 3, pp. 1420-1436, Feb, 2020.
[3] K. Wang*, X. Yu, Q. Xiong, Q. Zhu, W. Lu, Y. Huang, and L. Zhao, “Learning to Improve WLAN Indoor Positioning Accuracy Based on DBSCAN-KRF Algorithm From RSS Fingerprint Data,” IEEE Access, vol. 7, pp. 72308-72315, 2019, 2019.
[4] K. Wang*, L. Ma, Q. Xiong, S. Liang, G. Sun, X. Yu, Z. Yao, and T. Liu, “Learning to Detect Local Overheating of the High-Power Microwave Heating Process With Deep Learning,” IEEE Access, vol. 6, pp. 10288-10296, 2018, 2018.
[5] K. Wang*, Y. Zhao, Q. Xiong, M. Fan, G. Sun, L. Ma, and T. Liu, “Research on Healthy Anomaly Detection Model Based on Deep Learning from Multiple Time-Series Physiological Signals,” Scientific Programming, vol. 2016, pp. 1-9, 2016.
[6] K. Wang*, Y. Zhao, Q. Xiong, X. Shen, M. Fan, and M. Gao, “Video Recognition of Human Fall Based on Spatiotemporal Features,” Intelligent Automation & Soft Computing, vol. 22, no. 2, pp. 303-309, 2016/04/02, 2015.
Patents
[1] Local temperature change anomaly detection method based on deep learning of microwave heating temperature field distribution characteristics. (Granted)
[2] A health status evaluation system based on deep learning of multi-dimensional physiological big data. (Granted)
[3] Indoor positioning method based on stacked restricted Boltzmann machine and random forest algorithm. (Granted)
Research Grants
Received over 15 research grants/awards amounting to approximately $1M as Principal Investigator (PI) and $10M as co-Principal Investigator.
Awards/Honors
Science and Technology Progress Award of the National General Armament Department, 2015