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