Yi Sun | Information Security | Best Researcher Award

Published on by Innovation Technologist

Dr. Yi Sun | Information Security | Best Researcher Award

Associate Professor at Beijing University of Posts and Telecommunications, China

Dr. Yi Sun is an Associate Professor at the School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, China. She is a prominent researcher in the field of information security with a focus on cryptography, secure multi-party computation, blockchain, and big data security. With a strong presence in international collaborations, over 150 journal publications, 170+ patent applications, and numerous honors, Dr. Sun has established herself as a global leader in cybersecurity and privacy computing.

Publication Profile 

Scopus

Educational Background 🎓

  • Ph.D. in Computer Science
    Institution: State Key Laboratory of Network and Switching Technology, Beijing University of Posts and Telecommunications
    Graduation Date: June 2015

Professional Experience 💼

  • Associate Professor
    School of Computer Science, Beijing University of Posts and Telecommunications (Since July 2015)

    • Oversees national and international research and industry projects (100+ including National 863, Key R&D, and enterprise-funded).

    • Editorial roles in reputed journals and reviewer for SCI-indexed publications.

    • Active participation in organizing and chairing major international conferences such as IEEE GLOBECOM, ICME, DSC, CAIML, CNCIS, ICAIIC, etc.

Research Interests 🔬

  • Cryptography

  • Network Security

  • Secure Multi-party Computation

  • Blockchain Technology

  • Big Data Security

  • Privacy-Preserving Computation

  • RISC-V Processor Security

Awards and Honors🏆✨

  • Top 10 Pioneers of Privacy Computing (2022)

  • Excellent Scientific Research Teacher, Ministry of Education’s Class B Laboratory

  • Excellent Instructor, 7th China International “Internet+” Innovation and Entrepreneurship Competition (2021)

  • Outstanding Instructor, C4 Network Technology Challenge (2023)

  • Excellent Paper, 2023 “Academic Achievements in Frontier IoT in the Capital”

  • 4 ESI Highly Cited Papers

  • Multiple honors for academic and research excellence

Conclusion🌟

Dr. Yi Sun’s career is marked by groundbreaking research, high-impact publications, and international collaboration. Her work in information security has led to real-world applications in secure computing and microarchitecture protection. Through her extensive publication record, editorial contributions, and successful leadership in over 100 research and industrial projects, she has played a critical role in shaping the future of cybersecurity technologies. Dr. Sun’s achievements and accolades make her a highly deserving candidate for the Best Researcher Award.

Publications 📚

📄 Article:
Title: ADPF: Anti-inference differentially private protocol for federated learning
👨‍🔬 Authors: Zhao, Zirun; Lin, Zhaowen; Sun, Yi
📚 Journal: Computer Networks
📅 Year: 2025
🔢 Citations: 0

📄 Article:
Title: A combined side-channel and transient execution attack scheme on RISC-V processors
👨‍🔬 Authors: Dong, Renhai; Cui, Baojiang; Sun, Yi; Yang, Jun
📚 Journal: Computers and Security
📅 Year: 2025
🔢 Citations: 0

📄 Article:
Title: Improved twin support vector machine algorithm and applications in classification problems
👨‍🔬 Authors: Sun, Yi; Wang, Zhouyang
📚 Journal: China Communications
📅 Year: 2024
🔢 Citations: 0

📄 Article:
Title: AdaDpFed: A Differentially Private Federated Learning Algorithm with Adaptive Noise on Non-IID Data
👨‍🔬 Authors: Zhao, Zirun; Sun, Yi; Bashir, Ali Kashif; Lin, Zhaowen
📚 Journal: IEEE Transactions on Consumer Electronics
📅 Year: 2024
🔢 Citations: 7

📄 Article:
Title: BTIDEC: A Novel Detection Scheme for CPU Security of Consumer Electronics
👨‍🔬 Authors: Dong, Renhai; Cui, Baojiang; Sun, Yi; Yang, Jun
📚 Journal: IEEE Transactions on Consumer Electronics
📅 Year: 2024
🔢 Citations: 0

📄 Article:
Title: Ins Finder: A Practical CPU Undocumented Instruction Detection Framework
👨‍🔬 Authors: Dong, Renhai; Cui, Baojiang; Sun, Yi; Yang, Jun
📚 Journal: Journal of Circuits, Systems and Computers
📅 Year: 2024
🔢 Citations: 0

📄 Article:
Title: KeyLight: Intelligent Traffic Signal Control Method Based on Improved Graph Neural Network
👨‍🔬 Authors: Sun, Yi; Lin, Kaixiang; Bashir, Ali Kashif
📚 Journal: IEEE Transactions on Consumer Electronics
📅 Year: 2024
🔢 Citations: 6

Zhu Yongsheng | Data Privacy Protection | Best Researcher Award

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Mr. Zhu Yongsheng | Data Privacy Protection | Best Researcher Award

Research Fellow at China Academy of Railway Sciences Corporation Limited, China

Yongsheng Zhu is a Research Fellow at China Academy of Railway Sciences Corporation Limited and a Ph.D. candidate in Engineering at Beijing Jiaotong University. With a robust background in railway information network architecture and cybersecurity defense technology, he is at the forefront of research focused on data security governance and personal information protection. He is a member of the cybersecurity expert database of China Railway Group. Yongsheng has contributed significantly to the field through various national and industry-specific projects, publications, and patents, earning recognition for his work in intelligent railway transportation and cybersecurity. 🚆🔐📚

Publication Profile : 

Scopus

Educational Background 🎓

  • Ph.D. in Engineering (Pursuing) at Beijing Jiaotong University, focusing on railway information networks and cybersecurity.
  • Master’s in Engineering (Details pending)
  • Bachelor’s in Engineering (Details pending)

Professional Experience 💼

Yongsheng Zhu currently serves as a Research Fellow at China Academy of Railway Sciences Corporation Limited. In this role, he has presided over and participated in more than 10 national and China Railway Group scientific research projects. His work primarily revolves around the security and privacy of railway communication networks. He has also contributed to major industry projects, including a systematic major project of China State Railway Group Corporation Limited. His expertise extends to guiding and advancing national cybersecurity policies, particularly in the context of IoT, federated learning, and AI-powered railway systems. 🚆💻🛡️

Research Interests 🔬

Yongsheng’s research interests focus on network data security, privacy protection, and cybersecurity defenses within the railway industry. His work involves cutting-edge topics such as federated learning, AI model security, and blockchain-enabled trust mechanisms. He is particularly interested in the development of privacy-preserving AI models, secure communication protocols for intelligent transportation systems, and the governance of data privacy in large-scale networks. 🔒📡🤖

Publications 📚

  • Zhu, Y., Liu, C., et al. (2024). Privacy-Preserving Large-Scale AI Models for Intelligent Railway Transportation Systems: Hierarchical Poisoning Attacks and Defenses in Federated Learning. Computer Modeling in Engineering & Sciences, 141(2), 1305-1325.
  • Zhu, Y., Cao, H., Cai, B., Wang, W., et al. (2023). Defending Privacy Inference Attacks to Federated Learning for Intelligent IoT with Parameter Compression. Security and Communication Networks, Vol. 2023.
  • Feng, Y., Zhong, Z., Sun, X., Wang, L., Lu, Y., & Zhu, Y. (2023). Blockchain-Enabled Zero Trust-Based Authentication Scheme for Railway Communication Networks. Journal of Cloud Computing, 12.