Mrs. Yinxiang Lei | Database Systems | Best Researcher Award

Mrs. Yinxiang Lei | Database Systems | Best Researcher Award

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. 🚀

Zhe PENG | Data Analytics | Best Researcher Award

Prof. Zhe PENG | Analytics | Best Researcher Award

Assistant Professor, The Hong Kong Polytechnic University, Hong Kong

Dr. Zhe Peng  is a dedicated Research Assistant Professor at the Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University. With a strong background in computer science and engineering, he specializes in intelligent supply chains, AI for manufacturing, and blockchain technologies. His contributions to blockchain, federated learning, and decentralized identity systems have earned him global recognition. With extensive academic and industry experience, Dr. Peng has made a significant impact on cutting-edge technological advancements.

Publication Profile

🎓 Education

Dr. Peng holds a Ph.D. in Computer Science from The Hong Kong Polytechnic University (2018), under the supervision of Prof. Bin Xiao (IEEE Fellow). He earned his M.E. in Information and Communication Engineering from the University of Science and Technology of China (2013) and a B.E. in Communication Engineering from Northwestern Polytechnical University (2010). His academic journey reflects his deep expertise in computing, communication, and AI-driven systems.

💼 Experience

Dr. Peng has held multiple research and industry positions. He is currently a Research Assistant Professor at The Hong Kong Polytechnic University. Previously, he served as a Research Assistant Professor at Hong Kong Baptist University (2020-2023) and as an R&D Manager at the Blockchain and FinTech Lab. In the industry, he worked as the Blockchain Technical Director at SF Technology in Shenzhen (2018-2019). Additionally, he was a Visiting Scholar at Stony Brook University, USA, working under Distinguished Prof. Yuanyuan Yang (IEEE Fellow).

🏆 Awards and Honors

Dr. Peng has received several prestigious awards, including the World’s Top 2% Scientists by Stanford University (2024) and the Award for High SFQ Score at PolyU ISE (2024). He was recognized with an ESI Highly Cited Paper (2023) and received the DASFAA-MUST Best Paper Award (2021). His work was also nominated for THE Awards Asia – Technological or Digital Innovation of the Year (2021). His numerous accolades highlight his contributions to academia, research, and technological innovation.

🔬 Research Focus

Dr. Peng’s research revolves around intelligent supply chains, AI-driven manufacturing, blockchain applications, and autonomous systems. His work on verifiable decentralized identity management, privacy-aware federated learning, and blockchain security has set new benchmarks in these fields. He continues to explore innovative solutions to improve efficiency, transparency, and security in digital ecosystems.

🔚 Conclusion

Dr. Zhe Peng is a visionary researcher at the intersection of AI, blockchain, and smart logistics. His groundbreaking research, academic excellence, and industry experience make him a leading expert in his field. Through his contributions to intelligent systems, federated learning, and blockchain security, he continues to shape the future of technological innovation. 🚀

🔗 Publications 

Lightweight Multimodal Defect Detection at the Edge via Cross-Modal Distillation

VDID: Blockchain-Enabled Verifiable Decentralized Identity Management for Web 3.0 

SymmeProof: Compact Zero-Knowledge Argument for Blockchain Confidential Transactions 

The Impact of Life Cycle Assessment Database Selection on Embodied Carbon Estimation of Buildings 

EPAR: An Efficient and Privacy-Aware Augmented Reality Framework for Indoor Location-Based Services

VFChain: Enabling Verifiable and Auditable Federated Learning via Blockchain Systems 

VQL: Efficient and Verifiable Cloud Query Services for Blockchain Systems