Lecturer, Jiangxi University of Chinese Medicine, China
Yinxiang Lei is a dedicated computer scientist and researcher specializing in blockchain technology and its applications in data security and the Internet of Medical Things (IoMT). Born in Nanchang, China, in September 1989, he has been actively contributing to the field of distributed systems, transaction processing, and secure data sharing. His research focuses on optimizing blockchain mechanisms to enhance efficiency and scalability, making significant contributions to real-time transactions and lightweight sharding methods.
Publication Profile
Scopus
🎓 Education
Yinxiang Lei pursued his academic journey in Computer Science, developing expertise in blockchain technology, distributed ledger systems, and information security. His strong foundation in these areas has led to impactful research contributions and innovations in data-sharing frameworks and real-time blockchain transaction processing.
💼 Experience
Since September 2013, Yinxiang Lei has been affiliated with the School of Computer Science at Jiangxi University of Chinese Medicine. His work involves research and teaching in blockchain technology, decentralized transaction systems, and data security. Over the years, he has contributed to developing innovative blockchain frameworks that enhance transaction efficiency, state pruning, and concurrent execution mechanisms.
🏆 Awards and Honors
Yinxiang Lei has gained recognition for his innovative research in blockchain technology, particularly in enhancing efficiency, security, and real-time transaction processing. His contributions have been published in prestigious journals, highlighting his expertise in optimizing blockchain frameworks for IoMT and decentralized networks.
🔬 Research Focus
Yinxiang Lei’s research primarily revolves around blockchain scalability, real-time transaction frameworks, and data security in decentralized environments. His work has introduced novel solutions such as lightweight sharding methods for efficient data sharing, real-time Directed Acyclic Graph (DAG)-based blockchain models, and concurrent execution of transactions through on-chain-off-chain contract processing. His research is instrumental in improving blockchain’s adaptability for large-scale applications, including IoMT and secure data-sharing networks.
📚 Publications
LSBSP: A Lightweight Sharding Method of Blockchain Based on State Pruning for Efficient Data Sharing in IoMT
RT-DAG: DAG-Based Blockchain Supporting Real-Time Transactions
Concurrent execution of transactions in blockchain: a framework for on-chain-off-chain nested contract processing
🔚 Conclusion
Yinxiang Lei is a forward-thinking researcher in blockchain technology, focusing on transaction efficiency, scalability, and data security. His work at Jiangxi University of Chinese Medicine has led to groundbreaking research in blockchain-based data-sharing frameworks and real-time transaction mechanisms. Through his continuous contributions, he is driving advancements in decentralized technologies, ensuring secure and efficient data processing for future applications. 🚀