December 05 2016
In November 16th, the 14th ACM SenSys 2016 was held in Stanford University, U.S. at which the conference committee announced that two papers coauthored by Associate Professor Zhanglin’s team from TBSI along with the team from Carnegie Mellon University were issued Best Demo Award and Best Poster Runner-Up Award.
Campus of Stanford
The authors of “Collaborative Localization and Navigation in Heterogeneous UAV Swarms” that won the Best Demo Award are Carlos Ruiz (CMU), Xinlei Chen (CMU), Associate Professor Lin Zhang (Tsinghua University, TBSI), Associate Professor Pei Zhang (CMU).
The authors of “HAP-Fine-Grained Dynamic Air Pollution Map Reconstruction by Hybrid Adaptive Particle Filter” that won the Best Poster Runner-Up Award are Xinlei Chen (CMU), Xiangxiang Xu (Tsinghua University), Xinyu Liu (Tsinghua University), Hae Young Noh (CMU), Associate Professor Lin Zhang (Tsinghua University, TBSI), Pei Zhang (CMU).
These two pieces of award-winning work were all instructed by Lin Zhang, Associate Professor at Department of Electronic Engineering Tsinghua University, Vice Co-Director of TBSI, meanwhile, they were co-conducted by Internet of Things and Societal Cyber Physical System Laboratory, at TBSI, and Pervasive Electronic Innovation Laboratory at Carnegie Mellon University, CMU.
SenSys is the most influential sensor network conference held by ACM, which is funded by SIGCOMM, SIGMOBILE, SIGARCH, SIGOPS, SIGMETRICS, SIGBED, and other ACM committees. It has been successfully held for fourteen consecutive times since the year of 2003, and so far, only a few papers from mainland China have been admitted.
The academic conference in the field of Computer Science is rated on a scale of A+, A, B, C, and L, in which ACM SenSys is A+ Level that belongs to top academic meetings. ACM SenSys has provided a platform for scientific researchers from the fields of sensor and intelligent sensor system on a broad definition.