WANG Jiangkun, PhD Candidate (Oct 2020)

Biography

Jiangkun Wang is currently a Ph.D. student and a member of the Adaptive Systems Laboratory(ASL) of the University of Aizu. He obtained his master’s degree in computer and information systems in 2020, from the University of Aizu(UOA) Japan, and his BSc. in computer science in 2018, from Yanshan University China. His current research interests are in the field of neuro-inspired systems and software-hardware co-design of AI-enabled real-time biosystem.

Publications

  1. Miyuka Nakamura, Jiangkun Wang, Sinchhean Phea, Abderazek Ben Abdallah, ”Comprehensive Study of Coronavirus Disease 2019 (COVID-19) Classification based on Deep Convolution Neural Networks,” 3rd ETLTC2021-ACM Chapter Int. Conference on Information and Comm. Technology, January 27-30, 2021, Aizu-Wakamatsu, Japan
  2. Okada Yuuki, Jiangkun Wang, Ogbodo Mark Ikechukwu, Abderazek Ben Abdallah, ”Hardware Acceleration of Convolution Neural Network for AI-Enabled Realtime Biomedical System,” 3rd ETLTC2021-ACM Chapter Int. Conference on Information and Comm. Technology, January 27-30, 2021, Aizu-Wakamatsu, Japan
  3. Sinchhean Phea1, 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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