Kang Wang

PhD Student
Kang Wang

Contact information

Kang Wang is a PhD student at the University of Waterloo. His research interest revolves around building a mobile-health platform to achieve intelligent diagnosis by Machine Learning and Deep Learning methods.


PhD student, Public Health and Health Systems, University of Waterloo, Canada, 2024 (expect)

MSc, Control Engineering, Jiangnan University, China, 2020

BEng, Electrical Engineering, Nanjing Forestry University, China, 2017


  • Kang Wang and Zhiping Zhou, “Distance Ratio-based Weighted Rank Outlier Detection on Wearable Health Data”, 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC), DOI: 10.1109/ITNEC.2019.8729176, pp. 583-588, 2019.
  • Kang Wang and Zhiping Zhou, “Gaussian Kernel Density Estimation Method for Detecting Abnormal Values of Health Data”, Journal of Frontiers of Computer Science & Technology, DOI:10.3778/j.issn.1673-9418.1810006, pp. 1-9, 2019.
  • Eugene Hayden, Kang Wang, Chengjie Wu and Shi Cao, “Augmented Reality Procedure Assistance System for Operator Training and Simulation”, In Proc. of the 64th International Annual Meeting of the Human Factors and Ergonomics Society, 64(1), 1176–1180. DOI: 10.1177/1071181320641281