Degree:
PhD, Computer Science, City University of Hong Kong, 2013

Research Interests:
Data security (cloud, fog, IoT), blockchain (security, privacy, consensus, block validation, synchronization), adversarial machine learning (federated learning, deep learning), network security and trust (crowdsourcing, ICN, NDN, 5G, VANET, WMN), applied cryptography

Personal Website:
http://www.cs.memphis.edu/~kanyang/

Google Scholar

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Dr. Kan Yang joined the Department 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 has published more than 50 high quality papers that appear in prestigious venues including IEEE TIFS, TDSC, IOTJ, TPDS, TVT, TMM, TWC, COMMAG, WirelessMag, INFOCOM, ICDCS, and AsiaCCS. His research is well recognized, and his publications have received over 3400 citations (h-index of 27) as of Jan 2020 according to Google Scholar. He has served as the TPC member for many international conferences, including ICC, Globecom, Blockchain, IPCCC, ICCCN, MASS, WCSP, ICNC, VTC, and AsiaCCS-SCC. He is also an active reviewer for many top journals and conferences, such as IEEE TIFS, TDSC, TPDS, TCOM, TKDE, TCC, TMC, IOTJ, TVT, and INFOCOM, etc.