Yanjun Xu | Blockchain | Best Researcher Award

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Dr. Yanjun Xu | Blockchain | Best Researcher Award

Senior Engineer at Tongji University, China

Yanjun Xu is a Senior Engineer and current Ph.D. candidate at Tongji University, Shanghai. With a strong foundation in operating systems and high-performance computing, he has contributed to advancing software-hardware co-simulation in robotics and optimizing kernel compilation processes. His work spans research, development, and practical innovation in virtual simulation and blockchain-integrated educational tools.

🔹Professional Profile:

Orcid Profile

🎓Education Background

  • Bachelor’s Degree – Ocean University of China, 2010

  • Master’s Degree – Xi’an Polytechnic University, 2013

  • Ph.D. Candidate – Tongji University

💼 Professional Development

Yanjun Xu currently serves as a Senior Engineer at Tongji University. He has been actively involved in high-precision software and hardware co-simulation for robot development and has led virtual simulation projects. His work includes kernel-level system optimization, compiler enhancement, and integration of emerging technologies in real-world applications.

🔬Research Focus

  • Operating Systems

  • High-Performance Computing

  • Robotic Simulation

  • Compiler Optimization

  • Blockchain Applications in Education

📈Author Metrics:

  • Citation Index: 80

  • Books Published: 1

    • ISBN: 978-7-115-55608-0

  • Key Publications (SCI/Scopus):

    • Collaborative Motivation Framework Leveraging Similar Interest Behavior in Semantic Web Applications

    • CGNet: Improving Contour-guided Capability for RGB-D Semantic Segmentation

    • GANet: Geometry-aware Network for RGB-D Semantic Segmentation

    • A Blockchain-Based Certificate Management System for Online Education

🏆Awards and Honors:

  • Active Member, Shanghai Blockchain Association

  • Contributor to the Open Atom Foundation Community

  • Recognized for contributions to open-source compiler development and system optimization

📝Publication Top Notes

📝 1. A Two-Way Dynamic Adaptive Pricing Resource Allocation Model Based on Combinatorial Double Auctions in Computational Network

  • Journal: Computer Communications

  • Publication Date: April 2025

  • Type: Journal Article

  • DOI: 10.1016/j.comcom.2025.108170

  • Contributors: Yanjun Xu, Chunqi Tian, Wei Wang, Lizhi Bai, Xuhui Xia

  • Source: Crossref

  • Summary:  This paper proposes a two-way dynamic adaptive pricing model for resource allocation using a combinatorial double auction mechanism in computational networks. The model is designed to handle the complexity of multi-party bidding and resource matching efficiently. By incorporating adaptive pricing strategies, the system dynamically balances supply and demand in real time, improving overall allocation efficiency. The method shows promising performance in cloud and edge computing scenarios, especially where resources are heterogeneously distributed and demand is volatile.

📝 2. Collaborative Motivation Framework Leveraging Similar Interest Behavior in Semantic Web Applications

  • Journal: International Journal on Semantic Web and Information Systems (IJSWIS)

  • Publication Date: December 28, 2024

  • Type: Journal Article

  • DOI: 10.4018/IJSWIS.365912

  • Contributors: Yanjun Xu, Chunqi Tian, Yaoru Sun, Haodong Zhang

  • Source: Crossref

  • Summary:  This research introduces a collaborative motivation framework that enhances user engagement in semantic web platforms by leveraging similar interest behavior. The proposed system models semantic relevance and behavioral similarity to personalize recommendations and group formation. This approach is particularly beneficial in social knowledge-sharing systems and e-learning platforms, where collaborative filtering alone may fall short. The framework shows strong potential for increasing user satisfaction and platform interactivity.

Conclusion:

Dr. Yanjun Xu exhibits all the hallmarks of an emerging global research leader. His technical depth, innovation in blockchain and systems research, publication record, and active community engagement make him a strong contender for the Best Researcher Award.

He bridges practical engineering challenges with advanced academic research, particularly in virtual simulation, semantic web systems, and blockchain-integrated education technologies. With continued growth in international collaborations and broader dissemination of his applied research, Dr. Xu is on a clear path to becoming a thought leader in computational systems and blockchain innovation.

✅ Recommendation: Highly suitable for the Best Researcher Award.

Xiaoqi Li | Blockchain | Best Researcher Award

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Assoc. Prof. Dr. Xiaoqi Li | Blockchain | Best Researcher Award

Associate Professor at Hainan University, China📖

Dr. Simon Xiaoqi Li is an Associate Professor in the School of Cyberspace Security at Hainan University, China. A distinguished researcher in blockchain, software/system security, and artificial intelligence, Dr. Li is a Senior Member of the China Computer Federation (CCF) and an active member of IEEE and ACM. Recognized with multiple prestigious awards, including the Youth Top-notch Talent Support Program in 2024, Dr. Li has significantly advanced the fields of cybersecurity and blockchain technologies through his academic contributions and leadership.

Profile

Scopus Profile

Orcid Profile

Google Scholar Profile

Education Background🎓

Dr. Li earned his Ph.D. in Computer Science from the Hong Kong Polytechnic University in 2021, under the guidance of Dr. Daniel Xiapu Luo and Ting Chen. He holds a Master’s degree in Computer Science from the Chinese Academy of Sciences (2016) and a Bachelor’s degree in Computer Science from Central South University (2013). His robust academic foundation has propelled his research in cutting-edge technologies.

Professional Experience🌱

Dr. Li has an extensive career in academia and research, including:

  • Associate Professor at Hainan University (2021–Present), focusing on blockchain security and network defense.
  • Research Assistant at Hong Kong Polytechnic University (2019–2021), contributing to security analysis and blockchain optimization projects.
  • Research Assistant at the Chinese Academy of Sciences (2013), where he worked on cybersecurity and software vulnerabilities.

His teaching portfolio includes courses on Vulnerability Analysis, Penetration Testing, Network Attack and Defense, and Information Security Management, underscoring his dedication to cultivating the next generation of cybersecurity experts.

Research Interests🔬

Dr. Li’s research interests span several advanced fields:

  • Blockchain Security: Addressing smart contract vulnerabilities and enhancing decentralized finance security.
  • Software and System Security: Investigating software vulnerabilities and developing robust defense mechanisms.
  • Artificial Intelligence: Leveraging AI for cybersecurity and blockchain applications.
  • Software Engineering: Focused on quality assurance, optimization, and secure software development.

Author Metrics

Dr. Li’s impactful research is reflected in his robust author metrics:

  • Scopus H-index: 7
  • Google Scholar Citations: 800+
  • Numerous ESI Hot and Highly Cited Papers, demonstrating his influence in blockchain and security research.
    Dr. Li has received best paper awards at prestigious conferences such as IEEE INFOCOM, CCF Blockchain, and ISPEC, showcasing his contributions to advancing theoretical and applied research.
Publications Top Notes 📄

1. A Survey on the Security of Blockchain Systems

  • Authors: X. Li, P. Jiang, T. Chen, X. Luo, Q. Wen
  • Journal: Future Generation Computer Systems
  • Volume: 107
  • Pages: 841-853
  • Year: 2020
  • Citations: 2160
  • Summary: This highly cited survey paper comprehensively examines the security challenges in blockchain systems. It categorizes various vulnerabilities, threats, and defense mechanisms while providing insights into securing blockchain ecosystems and identifying future research directions.

2. Under-Optimized Smart Contracts Devour Your Money

  • Authors: T. Chen, X. Li, X. Luo, X. Zhang
  • Conference: The 24th IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER)
  • Year: 2017
  • Citations: 481
  • Summary: This paper highlights inefficiencies in smart contract optimization and their economic consequences. The study provides a detailed analysis of vulnerabilities caused by under-optimized code and proposes solutions to mitigate these issues, ensuring efficient and secure smart contracts.

3. Understanding Ethereum via Graph Analysis

  • Authors: T. Chen, Y. Zhu, Z. Li, J. Chen, X. Li, X. Luo, X. Lin, X. Zhang
  • Conference: The 37th IEEE International Conference on Computer Communications (INFOCOM)
  • Year: 2018
  • Citations: 426
  • Summary: This work uses graph analysis to explore the structure and behavior of Ethereum. The study reveals key insights into transaction patterns, network activity, and security vulnerabilities, offering a novel perspective on understanding blockchain ecosystems.

4. An Adaptive Gas Cost Mechanism for Ethereum to Defend Against Under-Priced DoS Attacks

  • Authors: T. Chen, X. Li, Y. Wang, J. Chen, Z. Li, X. Luo, M.H. Au, X. Zhang
  • Conference: The 13th International Conference on Information Security Practice and Experience (ISPEC)
  • Year: 2017
  • Citations: 155
  • Summary: This paper proposes an adaptive gas cost mechanism to mitigate the risk of under-priced Denial of Service (DoS) attacks in Ethereum. By dynamically adjusting gas costs based on resource utilization, the study enhances the resilience of Ethereum against such attacks.

5. Towards Saving Money in Using Smart Contracts

  • Authors: T. Chen, Z. Li, H. Zhou, J. Chen, X. Luo, X. Li, X. Zhang
  • Conference: The 40th IEEE/ACM International Conference on Software Engineering (ICSE)
  • Year: 2018
  • Citations: 124
  • Summary: This work examines cost-saving strategies in deploying and using smart contracts. By identifying inefficiencies in contract design and execution, the paper presents actionable solutions to minimize operational costs while maintaining contract reliability and security.

Conclusion

Assoc. Prof. Dr. Simon Xiaoqi Li is a highly suitable candidate for the Best Researcher Award, owing to his outstanding contributions to blockchain security, exemplary academic metrics, and recognized leadership in cybersecurity research. His work bridges theoretical rigor and practical relevance, driving advancements in blockchain systems, smart contracts, and decentralized applications.

By enhancing international collaborations and integrating emerging technologies, Dr. Li can further expand his research’s global impact, making him a trailblazer in blockchain and cybersecurity fields.