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Kan Yang

ASSISTANT PROFESSOR
COMPUTER SCIENCE
The University of Memphis
United States of America

Kan Yang

Biography

Dr. Kan Yang joined the Department as a tenure-track assistant professor in Spring 2017. Dr. Yang received his B.Eng. degree in Information Security from the University of Science and Technology of China in 2008, and his PhD degree in Computer Science with outstanding research thesis award from City University of Hong Kong in 2013 supervised by Prof. Xiaohua Jia. During his PhD studies, he was a visiting student in the Department of CSE at the State University of New York at Buffalo, supervised by Prof. Kui Ren. From Sept. 2013 to July 2014, he was a postdoctoral fellow in the Department of CS at City University of Hong Kong. From July 2014 to June 2016, he was a postdoctoral fellow and coordinated the security group at the Broadband Communications Research (BBCR) group in the Department of ECE at the University of Waterloo, co-supervised by Prof. Xuemin (Sherman) Shen and Prof. Anwar Hasan. Dr. Yang's research interests are in the area of cloud computing, big data, Internet of Things, and distributed systems, with a focus on security and privacy. He has published more than 30 high quality papers that appear in prestigious venues including IEEE TIFS, TPDS, TVT, TMM, TWC, COMMAG, WirelessMag, IEEE INFOCOM’13-15, ICDCS’12, and ACM AsiaCCS’13. His research is well recognized, and his publications have received over 900 citations (h-index of 13) as of October 2016 according to Google Scholar. He has served as the TPC member for many international conferences, including IPCCC’15-16, ICCCN’15-16, and AsiaCCS-SCC’14. He is also an active reviewer for many top journals and conferences, such as IEEE JSAC, TPDS, TCOM, TKDE, TIFS, and INFOCOM.

Research Interest

Security and privacy issues in cloud computing, big data, Internet of Things, distributed systems

Publications

  • G. Xu, H. Li, C. Tan, D. Liu, Y. Dai and K. Yang. "Achieving efficient and privacy-preserving truth discovery in crowd sensing systems". To appear on Computers & Security (Elsevier) , 2017.

  • Q. Xu, Z. Su, and K. Yang. "Optimal Control Theory Based Epidemic Information Spreading Scheme for Mobile Social Users with Energy Constraint". To appear on IEEE Access, 2017.

  • P. Yang, N. Zhang, S. Zhang, K. Yang, L. Yu, and X. Shen. "Identifying the Most Valuable Workers in Fog-Assisted Spatial Crowdsourcing". To appear on IEEE Internet of Things Journal - SI on Fog Computing in IoT, 2017.

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