Jian Chang

Title: Innovations of Jian Chang

Introduction

Jian Chang is an accomplished inventor based in Wuhan, China. He has made significant contributions to the field of blockchain technology, holding a total of 3 patents. His work focuses on enhancing data sharing and consensus mechanisms within blockchain systems.

Latest Patents

One of Jian Chang's latest patents is titled "Highly flexible, scalable multi-blockchain, hierarchical data sharing and data storing system and method thereof." This invention relates to a highly flexible and scalable system that allows for efficient data aggregation and hierarchical storage of shared data. It comprises a third-party blockchain system, a data-sharing blockchain system, and an application-layer client. This innovative approach facilitates the aggregation of data from different blockchain systems while reducing node complexity and block data redundancy.

Another notable patent is the "Graphic-blockchain-orientated hybrid consensus implementation apparatus and implementation method thereof." This invention introduces a method for achieving deterministic consensus on graphic blockchain for the first time. It decouples the generation and consensus of blocks, allowing for a modular design. This advancement provides a decentralized hybrid consensus algorithm that surpasses existing graphic blockchain technologies.

Career Highlights

Jian Chang is affiliated with Huazhong University of Science and Technology, where he continues to contribute to research and development in blockchain technology. His work has garnered attention for its innovative approaches to solving complex problems in data sharing and consensus mechanisms.

Collaborations

Jian Chang collaborates with notable colleagues such as Jiang Xiao and Xiaohai Dai. Their combined expertise enhances the research and development efforts within their field.

Conclusion

Jian Chang's contributions to blockchain technology through his patents demonstrate his innovative spirit and commitment to advancing the field. His work not only addresses current challenges but also paves the way for future developments in data sharing and consensus mechanisms.