Zhishang Wang, PhD candidate (April 2020)

Biography

Zhishang Wang is currently a Ph.D. student at the Adaptive Systems Laboratory (ASL), the University of Aizu, Japan.  He received a B.S. degree in computer science from Wuhan University, China, in 2014  and an M.S. degree in computer science from the University of Freiburg, Germany, in 2019.
His research interests are in Machine Learning Systems, Collaborative Learning, Blockchain, and Trustworthy AI. He is also interested in event-driven neuromorphic systems targeted for a new generation of brain-inspired computing technologies and adaptive edge computing systems.

Publications 

  • Zhishang Wang, Mark Ogbodo, Huakun Huang, Chen Qiu, Masayuki Hisada, Abderazek Ben Abdallah,  “AEBIS: AI-Enabled Blockchain-based Electric Vehicle Integration System for Power Management in Smart Grid Platform,” IEEE Access, vol. 8, pp. 226409-226421, 2020, doi:10.1109/ACCESS.2020.3044612.
  • Huakun Huang, Mark Ogbodo, Zhishang Wang, Chen Qiu, Masayuki Hisada, Abderazek Ben Abdallah, ”Smart Energy Management System based on Reconfigurable AI Chip and Electrical Vehicles”, 2021 IEEE International Conference on Big Data and Smart Computing (BigComp 2021), January 17-20, 2021, Jeju Island, Korea
  • Sinchhean Phea, Zhishang Wang, Jiangkun Wang, Abderazek Ben Abdallah, ”Optimization and Implementation of a Collaborative Learning Algorithm for an AI-Enabled Real-time Biomedical System,” 3rd ETLTC2021-ACM Chapter Int. Conference on Information and Comm. Technology, January 27-30, 2021, Aizu-Wakamatsu, Japan

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