Prof. Xiaolin Chang | Network Security | Best Researcher Award

Prof. Xiaolin Chang | Network Security | Best Researcher Award

Beijing Jiaotong university, China.

Xiaolin Chang is a Professor in the Department of Information Security at Beijing Jiaotong University, China. She holds a Ph.D. in Computer Sciences from the Hong Kong University of Science and Technology. With over 15 years of academic research experience and nearly 10 years of industry R&D experience, she has made significant contributions to secure and trustworthy intelligent computing, Blockchain, cloud data centers, and vehicular networks. She has authored or co-authored over 180 research papers in leading international journals and conferences.

Profile

Orcid

🎓 Education

Xiaolin Chang earned her Ph.D. in Computer Sciences from the Hong Kong University of Science and Technology. During her doctoral studies, she focused on cybersecurity, cryptographic protocols, and distributed systems, laying the foundation for her expertise in secure and trustworthy intelligent computing. Her research contributed to advancements in Blockchain security, cloud data protection, and network resilience. The rigorous academic training and exposure to cutting-edge technologies at HKUST shaped her career in both academia and industry, enabling her to bridge the gap between theoretical research and real-world applications.

💼 Experience

Xiaolin Chang is a Professor in the Department of Information Security at Beijing Jiaotong University, where she leads research initiatives in secure and trustworthy intelligent computing. With over 15 years of academic research experience, she has guided numerous projects in Blockchain security, cloud data protection, and vehicular networks.

In addition to her academic role, she has nearly 10 years of industrial research and development experience, where she contributed to cutting-edge innovations in cybersecurity, cryptographic systems, and distributed computing. Her industry expertise enables her to bridge the gap between theoretical advancements and practical applications, making a significant impact in both academia and the tech industry.

🔬 Research Interests

Secure & Trustworthy Intelligent Computing

Blockchain Technologies & Consensus Mechanisms

Cloud Data Centers & Network Security

Vehicular Networks & Cybersecurity

🏆 Awards & Honors

Science and Technology Progress Award, Chinese Academy of Sciences (First Class, 1997; Second Class, 1999)

National Science and Technology Progress Award, China (Second Class, 2000)

Ministry of Education Science and Technology Progress Award, China (First Class, 2010)

Huaxia Construction Science and Technology Award, Second Class, 2021

China Invention Association Invention and Entrepreneurship Innovation Award, Second Class, 2023 & 2024

Best Paper Award, IEEE Globecom 2018, ICSOC 2022

Editorial Board Member, IEEE IoT Journal & Two Chinese Journals

📚 Selected Publications

Improving the CRCC-DHR Reliability: An Entropy-Based Mimic-Defense-Resource Scheduling AlgorithmEntropy, 2025

Contributors: Xinghua Wu, Mingzhe Wang, Yun Cai, Xiaolin Chang, Yong Liu

Performance of PBFT Consensus under Voting by GroupsBlockchains, 2024

Contributors: Vojislav Misic, Jelena Misic, Xiaolin Chang

Decentralization Is Good or Not? Defending Consensus in Ethereum 2.0Blockchains, 2024

Contributors: Xiaolin Chang, others

 

 

Dr. Zhaoyang Wang | Cybersecurity | Best Researcher Award

Dr. Zhaoyang Wang | Cybersecurity | Best Researcher Award

Institute of Information Engineering, Chinese Academy of Sciences, China.

Wang Zhaoyang is a Ph.D. student at the Key Laboratory of Cyberspace Security Defense, Institute of Information Engineering, Chinese Academy of Sciences, and the School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China. His research focuses on differential privacy, data security, privacy protection in big data systems, and machine learning, contributing to cutting-edge advancements in cybersecurity and data privacy.

Profile

Scopus

🎓 Education

Wang Zhaoyang is currently pursuing a Ph.D. in Cyber Security at the University of Chinese Academy of Sciences, Beijing, China. His research focuses on differential privacy, data security, and privacy protection in big data systems, with an emphasis on developing secure and efficient solutions for modern cybersecurity challenges.

💼 Experience

Wang Zhaoyang is a researcher at the Key Laboratory of Cyberspace Security Defense, Institute of Information Engineering, where he explores advanced topics in cybersecurity, differential privacy, and data security. As a Graduate Research Assistant specializing in cyber security and data privacy, he actively contributes to cutting-edge research on privacy protection in big data systems, secure machine learning, and distributed storage solutions. His work aims to enhance the security and efficiency of modern computing environments, addressing critical challenges in data protection and cyber defense.

🔬 Research Interests

🛡️ Differential Privacy – Ensuring data protection while preserving utility.

🔏 Data Security – Developing secure storage and transmission solutions.

🔐 Privacy Protection in Big Data – Enhancing privacy measures in large-scale data systems.

🤖 Machine Learning & Privacy – Securing AI models against adversarial attacks.

📚 Selected Publications

TurboLog: A Turbocharged Lossless Compression Method for System Logs via TransformerIJCNN 2024

A Distributed Storage System for System Logs Based on Hybrid Compression SchemeISPA/BDCloud/SocialCom/SustainCom 2023| Cited by 1

PRISPARK: Differential Privacy Enforcement for Big Data Computing in Apache SparkIEEE SRDS 2023

A General Backdoor Attack to Graph Neural Networks Based on Explanation MethodTrustCom 2022 | Cited by 2

Deepro: Provenance-based APT Campaigns Detection via GNNTrustCom 2022.