Junchen Guo

郭俊辰

Biography

Junchen Guo has received his B.E. degree in Computer Science and Technology with a minor in Business Administration from University of Science and Technology of China in June 2016. He is currently pursuing a Ph.D. degree in Software Engineering at Tsinghua University, under the supervision of Dr. Yuan He. Junchen's academic interests include Industrial Internet of Things (IoT), Edge Computing and Mobile Computing. Junchen is currently the student leader of Pavatar project.

Projects

  • Pavatar

    • Pavatar is a digital twin for Ultra-High-Voltage Convertor Stations (UHVCS), leveraging cutting-edge Industrial IoT techniques. The goal of Pavatar is to improve the efficiency of system management, to assist control decision and to save labor cost. The main components of Pavatar includes data visualization in virtual reality, intensive networked video analysis, intelligent wireless sensing and deep system diagnosis. Recently, our team has deployed the prototype of Pavatar in ShaoShan UHVCS at Hunan, China, to comprehensively monitor the operation of the world's first 300MVar water-cooling compensators. Visit Pavatar Website for more information about Pavatar!

  • TagLeak

    • TagLeak is a low-cost and battery-free sensing system for liquid leakage detection in modern factories and plants. It is one of the most significant component of the Pavatar project.

  • DeepEgde

    • DeepEdge is an embedded deep learning system for low power and real-time computer vision tasks. It utilizes the magical power of deep learning algorithms and brings it to the edge of the network.

  • Pangu

    • Pangu is an innovated software-defined architecture for wireless sensor networks, which enables centralized network control over underlying ad-hoc opportunistic routing structure by defining the forwarding role (sender or forwarder) of sensor nodes.

Publications

  • [Sensys 2018] Pavatar: Digital Avatar for Ultra-High-Voltage Converter Stations

    • Yuan He, *Junchen Guo, Long Liu, Haozhen Liu, Xinpeng Zhang, et al.
    The 16th ACM Conference on Embedded Networked Sensor Systems, Shenzhen, China, Nov. 4-7, 2018.

  • [ICII 2018] TagLeak: Non-intrusive and Battery-free Liquid Leakage Detection with Backscattered Signals

    • Junchen Guo, Ting Wang, Meng Jin, Songzhen Yang, Chengkun Jiang, Long Liu, *Yuan He
    The 1st IEEE International Conference on Industrial Internet, Bellevue, WA, USA, Oct. 21-23, 2018

  • [ICNP 2018] Canon: Exploiting Channel Diversity for Reliable Parallel Decoding in Backscatter Communication

    • Chengkun Jiang, *Yuan He, Meng Jin, Xiaolong Zheng, Junchen Guo
    The 26th IEEE International Conference on Network Protocols, Cambridge, UK, Sept. 24-27, 2018

  • [SPM 2018] From Surveillance to Digital Twin: Challenges and Recent Advances of Signal Processing for Industrial IoT

    • Yuan He, *Junchen Guo, Xiaolong Zheng
    IEEE Signal Processing Magazine, Special Issue on Internet-of-Things, Volume 35, Issue 5, Page 120-129, Sept. 2018
    IEEE SPM Impact Factor = 9.654

  • [ICPADS 2017] Pangu: Towards a Software-Defined Architecture for Wireless Sensor Networks

    • Junchen Guo, *Yuan He, Xiaolong Zheng.
    The 23rd IEEE International Conference on Parallel and Distributed Systems, Shenzhen, China, Dec. 15-17, 2017.
    Pangu won the Best Student Paper Award in ICPADS 2017!

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