HYBRID EVENT: You can participate in person at Panorama Hotel Prague, Czech Republic or Virtually from your home or work.

Jackey Cheung

 

Jackey Cheung

The Chinese University of Hong Kong,Hong Kong

Abstract Title: Adaptive Healthcare Applications using Hyperledger Blockchain

Biography:

Jackey Cheung is affiliated with the Department of Computer Science and Engineering. He has 15+ years teaching experience in CS/IT area in Universities; and he has taught many courses such as Blockchain, Artificial Intelligent, Cyber Security, Machine Learning, Computer Programming, Data Structures and Algorithms, Database Systems, Information Retrieval, Computer Graphics, Software Engineering, Software Management, Digital Literacy and Computational Thinking, etc. in University UG-Level and Master-Level. His research interests: blockchain, artificial intelligent, cyber security, deep learning, virtual reality, computer vision, etc.

Research Interest:

Blockchain (BC) is widely regarded as one of the most groundbreaking technologies in this decade, distinguished by its key attributes of decentralization, security, and accessibility. In this presentation, we aim to share our insights and experiences in examining the performance characteristics of Blockchain applications within Healthcare IoT (IoHT). Our focus will be on critical metrics such as transaction throughput, latency, and resource utilization. We will also discuss our approach to designing comparative experiments, considering parameters such as transaction send rate, block size, consensus mechanisms, and block time; and our investigation of the proof of authority consensus algorithms—namely QBFT, IBFT 2.0, and Clique, which was conducted using Hyperledger Caliper. We will analyze how these parameters influence the performance of a private Hyperledger Besu blockchain. Building on our findings, we have delved into the development of our proposed Hyperledger Besu auto-tuning system, which employs a tunnel-limiter to guide the system toward optimal operational conditions. This leads us to our adaptive BC-parameter-tunable Decentralized framework for IoHT (ABCD-IoHT), designed to enhance the throughput performance of medical healthcare systems while ensuring robust security under varying medical load conditions.