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
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.
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.
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.