Recently, a master’s thesis entitled “Random Analog Network Coding: From Design to Applications” by Wenguang Mao, a former JI graduate student and WangLab alumni, has been awarded 2015 Shanghai Outstanding Graduate Thesis Award.

During his master study in Wanglab, Wenguang Mao mainly focused on the design and application of analog network coding (ANC). As one of the most promising physical-layer techniques for the next-generation wireless networks, ANC can dramatically enhance network throughput. However, applications of ANC to real networks are very limited due to the restriction of frame-level synchronization. To resolve this challenging issue, Mao develops a new ANC scheme called random analog network coding (RANC), under the guidance of Professor Wang. 

With his solid research and excellent innovation, Wenguang Mao has published several papers on top International Journals. He also received many awards including Shanghai Jiao Tong University “Pacemakers to Merit Student” and National Scholarship for Graduate Students. Currently, Wenguang Mao is pursuing his Ph.D. in the Computer Science Department at the University of Texas at Austin, with a focus on mobile computation and high precision motion tracking.

For more information, please refer to

http://umji.sjtu.edu.cn/news/a-ji-masters-thesis-awarded-2015-shanghai-outstanding-graduate-thesis-award/