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.

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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.

Xiuhua Lu | Blockchain | Best Researcher Award

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Assoc. Prof. Dr. Xiuhua Lu | Blockchain | Best Researcher Award

Master Supervisor at Qufu Normal university, China📖

Xiuhua Lu, an Associate Professor at the School of Cyber Science and Engineering, Qufu Normal University, hails from Taian, Shandong, China. Born in October 1979, she has dedicated her career to advancing knowledge in lattice cryptography, blockchain, and federated learning. Her expertise in mathematics and information security has established her as a prominent figure in the field of cybersecurity and applied cryptography.

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Education Background🎓

Xiuhua Lu holds a Bachelor of Science in Mathematics and Applied Mathematics from Shandong Normal University (1998–2002). She pursued a Master of Science in Applied Mathematics at Capital Normal University (2002–2005), deepening her analytical and mathematical prowess. Later, she earned a Doctor of Engineering in Information Security from Beijing University of Posts and Telecommunications (2011–2019), where she focused on advanced topics in cybersecurity and cryptography.

Professional Experience🌱

Xiuhua Lu began her academic journey as an Assistant Teacher at Langfang Normal University in 2005, progressing to Lecturer and subsequently Associate Professor during her 16-year tenure. Since January 2022, she has been serving as an Associate Professor at Qufu Normal University, where she continues to mentor students and lead research projects in the School of Cyber Science and Engineering.

Research Interests🔬

Xiuhua Lu’s research interests include lattice cryptography, blockchain technology, and federated learning. Her work focuses on developing secure and efficient solutions for modern challenges in data privacy, distributed systems, and cryptographic algorithms, positioning her as a key contributor to advancements in these areas.

Author Metrics

Xiuhua Lu has contributed significantly to her field through numerous research publications in lattice cryptography, blockchain applications, and federated learning. Her scholarly work is recognized for its innovative approach and practical applications, garnering citations and establishing her influence in cybersecurity and data privacy.

Publications Top Notes 📄

1. Quantum-Resistant Identity-Based Signature with Message Recovery and Proxy Delegation

Authors: Lu, X., Wen, Q., Yin, W., Panaousis, E., Chen, J.
Journal: Symmetry, 2019, 11(2), 272
Abstract: This paper presents a quantum-resistant identity-based signature scheme that incorporates message recovery and proxy delegation capabilities. Leveraging lattice-based cryptography, the proposed method ensures robust security against quantum attacks while enhancing efficiency in identity-based systems.
Citations: 6

2. Message Integration Authentication in the Internet-of-Things via Lattice-Based Batch Signatures

Authors: Lu, X., Yin, W., Wen, Q., Chen, L., Chen, J.
Journal: Sensors (Switzerland), 2018, 18(11), 4056
Abstract: This study explores lattice-based batch signatures for message authentication in IoT systems. The proposed scheme effectively integrates and authenticates multiple messages simultaneously, addressing security and computational efficiency in resource-constrained IoT environments.
Citations: 4

3. A Lattice-Based Unordered Aggregate Signature Scheme Based on the Intersection Method

Authors: Lu, X., Yin, W., Wen, Q., Jin, Z., Li, W.
Journal: IEEE Access, 2018, 6, pp. 33986–33994
Abstract: This paper introduces a lattice-based unordered aggregate signature scheme utilizing the intersection method. The method enhances computational efficiency and scalability while ensuring strong security foundations, suitable for applications requiring high-performance aggregate signing.
Citations: 23

4. The Prediction of PM2.5 Value Based on ARMA and Improved BP Neural Network Model

Authors: Zhu, H., Lu, X.
Conference: Proceedings of the 2016 International Conference on Intelligent Networking and Collaborative Systems (IEEE INCoS), 2016, pp. 515–517
Abstract: This research proposes a hybrid model combining ARMA and an improved BP neural network for accurate PM2.5 value predictions. The model demonstrates improved forecasting accuracy, contributing to better environmental monitoring and pollution control strategies.
Citations: 46

5. A Lattice-Based Signcryption Scheme Without Trapdoors

Authors: Lu, X., Wen, Q., Wang, L., Du, J.
Journal: Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology, 2016, 38(9), pp. 2287–2293
Abstract: The authors develop a lattice-based signcryption scheme that eliminates the need for trapdoors, enhancing both security and practical applicability. The scheme is tailored for secure communication in post-quantum scenarios, balancing confidentiality, authenticity, and efficiency.
Citations: 11

Conclusion

Dr. Xiuhua Lu is an outstanding candidate for the Best Researcher Award, owing to her groundbreaking work in quantum-resistant cryptography, blockchain technology, and federated learning. Her scholarly contributions are marked by innovation, practical relevance, and academic rigor, aligning seamlessly with the award’s objectives. Addressing areas like expanded collaboration, outreach, and leadership in large-scale projects could further elevate her already stellar profile.

Recommendation:

Awarding Dr. Lu this recognition would highlight her pivotal role in advancing cybersecurity and cryptographic research, inspiring further contributions in these critical fields.

Adla Padma | Blockchain | Best Researcher Award

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Ms. Adla Padma | Blockchain | Best Researcher Award

Research Scholar at  VIT Vellore, India 📝

Dr. Adla Padma is an Assistant Professor (On Contract) in the School of Computer Science Engineering and Information Systems (SCORE) at Vellore Institute of Technology (VIT), Vellore, Tamil Nadu. With over six years of teaching and research experience, Dr. Padma is deeply involved in cutting-edge research in blockchain technology, IoT, and privacy preservation frameworks. Her current research focuses on developing efficient blockchain-enabled privacy preservation systems for smart environments. She is passionate about leveraging her academic background and expertise to contribute to the advancement of emerging technologies in computer science.

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Education 🎓

Dr. Adla Padma has a strong academic foundation in Computer Science Engineering, beginning with her Bachelor’s degree (B.Tech) from KBR Engineering College, Yadadri Bhuvanagiri, Telangana, where she graduated with a percentage of 79.94% in 2012. She then pursued her Master’s degree (M.Tech) in Computer Science Engineering at Sri Indu Institute of Engineering and Technology, Rangareddy, Telangana, completing it in 2016 with an impressive 82.75%. Currently, she is a Ph.D. candidate at Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, where she has submitted her thesis on an efficient blockchain-enabled privacy preservation framework for IoT smart environments. Throughout her academic journey, Dr. Padma has consistently demonstrated a commitment to excellence, both in her studies and in her ongoing research contributions to the field of computer science.

Professional Experience 💼

Dr. Padma’s academic career spans over six years, during which she has held positions as an Assistant Professor both at Sri Indu Institute of Engineering and Technology and VIT. Currently, as a faculty member at VIT, she is focusing on research in the fields of blockchain, IoT, and smart environments. She has guided students on various projects, including deep learning models for earthquake prediction and has presented talks on blockchain to B.Tech students. Prior to her position at VIT, she worked as an Assistant Professor in the Department of Computer Science & Engineering at Sri Indu Institute of Engineering and Technology from 2016 to 2020.

Research Interests 🔬

Dr. Adla Padma’s research interests lie at the intersection of cutting-edge technologies such as blockchain, the Internet of Things (IoT), and privacy preservation frameworks. She is particularly focused on developing efficient and scalable blockchain solutions for IoT smart environments, with an emphasis on ensuring privacy and security. Additionally, her work explores the design and analysis of algorithms, machine learning, and artificial intelligence techniques, aiming to address real-world challenges in data management and system optimization. Dr. Padma is also interested in web technologies, particularly in enhancing user experiences through novel image search models, and advancing the field of programming languages, with expertise in C, C++, Python, and Java. Her research aims to contribute to the evolution of smart systems and secure, decentralized environments in various technological domains.

Author Metrics 🏆

  • Publications:
    Dr. Padma has made significant contributions to the academic community, particularly in the areas of blockchain technology, IoT, and privacy preservation. Notably, she has received the Raman Research Award for her publications in these fields, including titles such as “GLSBIoT: GWO-based enhancement for lightweight scalable blockchain for IoT with trust-based consensus” and “Blockchain Based Efficient and Secure Privacy Preserved Framework for Smart Cities.”
  • Reviewer & Conference Roles:
    Dr. Padma serves as a technical reviewer for the American Journal of Information Science and Technology (2024-2027) and has also been a reviewer for the ic-ETITE’24 2nd IEEE International Conference conducted by VIT. She has taken an active role as Technical Panel Incharge and Organizing Committee Member for the same conference.
  • Awards:
    She has been honored with the Raman Research Award for her impactful research contributions, underscoring the recognition of her work within the academic community.

Awards and Achievements 🏆

  • Raman Research Award for the publication titled “GLSBIoT: GWO-based enhancement for lightweight scalable blockchain for IoT with trust-based consensus,” VIT, Vellore.
  • Raman Research Award for the publication titled “Blockchain Based Efficient and Secure Privacy Preserved Framework for Smart Cities,” VIT, Vellore.
  • Technical Reviewer for the American Journal of Information Science and Technology (2024-2027).
  • Technical Reviewer for the ic-ETITE’24 2nd IEEE International Conference, VIT.
  • Technical Panel Incharge and Organizing Committee Member for ic-ETITE’24 2nd IEEE International Conference, VIT

Publications Top Notes 📚

  1. Blockchain based an efficient and secure privacy-preserved framework for smart cities
    • Authors: A Padma, M Ramaiah
    • Journal: IEEE Access
    • Publication Year: 2024
    • Volume: 19
  2. A review of security vulnerabilities in industry 4.0 applications and the possible solutions using blockchain
    • Authors: M Ramaiah, V Chithanuru, A Padma, V Ravi
    • Book: Cyber Security Applications for Industry 4.0
    • Pages: 63-95
    • Publication Year: 2022
    • Publisher: Springer
  3. Detecting security breaches on smart contracts through techniques and tools: A brief review – Applications and challenges
    • Authors: A Padma, R Mangayarkarasi
    • Conference: International Conference on Information and Management Engineering
    • Pages: 361-369
    • Publication Year: 2022
  4. GLSBIoT: GWO-based enhancement for lightweight scalable blockchain for IoT with trust-based consensus
    • Authors: A Padma, M Ramaiah
    • Journal: Future Generation Computer Systems
    • Volume: 159
    • Pages: 64-76
    • Publication Year: 2024
  5. A Technologies Study on Trending for IoT Use Cases Aspires to Build Sustainable Smart Cities
    • Authors: M Ramaiah, RM Yousuf, R Vishnukumar, A Padma
    • Book: Intelligent Systems and Sustainable Computational Models: Concepts
    • Publication Year: 2024

Conclusion

Dr. Adla Padma is a highly qualified candidate for the Best Researcher Award. Her expertise in blockchain, IoT, and privacy preservation is well-aligned with current global technological challenges, particularly in the development of smart cities. Her impressive academic background, impactful publications, and significant contributions to research make her a standout figure in her field.