Zhichao Cao’s research interests lie broadly in Internet of Things (IoT) systems, edge computing and mobile computing. He mainly focuses on developing computation and networking systems to enable deep intelligence in various industrial scenarios. In wild oil fields, he develops OilNet, which provides a high-speed and easy-to-deployment mesh back-bone newtork, for various production and security purposes. This fits well with the research scope of Industry 4.0, which is treated as the fourth industry revolution brought by AI and IoT.
Ph.D., Computer Science and Engineering, Hong Kong University of Science and Technology, 2013
B.S., Computer Science and Technology, Tsinghua University, 2006
Chenning Li, Manni Liu and Zhichao Cao, “WiHF: Enable User Identified Gesture Recognition with WiFi”, IEEE INFOCOM 2020.
Pengjin Xie, Jingchao Feng, Zhichao Cao and Jiliang Wang, “GeneWave: Fast Authentication and Key Agreement on Commodity Mobile Devices”, ACM/IEEE TON 26(4):1688-1700, 2018.
Zhichao Cao, Jiliang Wang, Daibo Liu, Xin Miao, Qiang Ma and Xufei Mao, “Chase++: Fountain-Enabled Fast Flooding in Asynchronous Duty Cycle Networks”, IEEE INFOCOM 2018.
Zhichao Cao, Daibo Liu, Jiliang Wang, and Xiaolong Zheng, “Chase: Taming Concurrent Broadcast for Flooding in Asynchronous Duty Cycle Networks”, ACM/IEEE TON 25(5):2872-2885, 2017.
Xiaolong Zheng, Zhichao Cao, Jiliang Wang, Yuan He, and Yunhao Liu, “ZiSense: Towards Inference Resilient Duty Cycling in Wireless Sensor Networks”, ACM SenSys 2014.