University of Electronic Science and Technology of China | China
Author Profile
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EARLY ACADEMIC PURSUITS
Dr. Jianbin Gao began his academic journey in the field of Computer Science, culminating in a Ph.D. from the University of Electronic Science and Technology of China (UESTC) in 2012. His early research trajectory was further enriched through an international stint as a visiting scholar at the prestigious University of Pennsylvania, United States, from 2009 to 2011. This foundational experience played a significant role in shaping his global perspective and multidisciplinary research capabilities.
PROFESSIONAL ENDEAVORS
Since 2012, Dr. Gao has served as an Associate Professor in the School of Computer Science and Engineering (and the School of Cyber Security) at UESTC. His academic role encompasses teaching, supervising postgraduate research, and leading cutting-edge research initiatives in the domains of network security, AI security, and blockchain technologies. His institutional affiliation has been instrumental in cultivating strong research networks both within China and internationally.
CONTRIBUTIONS AND RESEARCH FOCUS ON NETWORK SECURITY
Dr. Gao's primary areas of expertise lie in network security, AI security, and blockchain, with a distinctive emphasis on applications in IoT, vehicular networks, and privacy-preserving systems. His recent work showcases groundbreaking innovations, including scalable and memory-efficient blockchain architectures, advanced graph embedding methods for fraud detection in complex networks, and smart contract verification techniques. His research uniquely bridges theoretical computer science with real-world implementation, particularly in domains such as secure vehicular communications and decentralized cloud services.
IMPACT AND INFLUENCE
Dr. Gao's research contributions have made a significant impact on the academic and professional communities, especially in cybersecurity and blockchain applications. His collaborative projects span multiple international teams and consistently address real-world problems like data integrity, privacy protection, and secure digital infrastructure. His work on secure Named Data Networking (NDN) and certificateless signcryption demonstrates a commitment to developing lightweight, practical, and scalable solutions for next-generation communication networks.
ACADEMIC CITES
With a total citation count of 2,956, an h-index of 19, and an i10-index of 28, Dr. Gao's scholarly output underscores both the depth and influence of his research contributions. These metrics reflect sustained academic recognition and the wide applicability of his findings across various domains of computer science and engineering.
LEGACY AND FUTURE CONTRIBUTIONS
Dr. Jianbin Gao stands at the forefront of cybersecurity and blockchain innovation, with a research portfolio that not only addresses today's challenges but also sets the stage for future technological advancements. His leadership in developing secure architectures for IoT, blockchain, and AI-driven systems signals a forward-thinking academic committed to real-world impact. As global digital infrastructures evolve, Dr. Gao’s work will likely remain pivotal in shaping secure, privacy-aware, and decentralized systems. His mentoring of young scholars and continued publication in top-tier journals ensure that his legacy will influence future generations of researchers and technologists.
SELECTED SCHOLARLY WORKS
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A Blockchain-NDN Enabled Framework for Secure Vehicular Networking, IEEE Transactions on Networking (2025)
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A Scalable and Memory-Efficient Architecture for Blockchain-Based IoT Privacy and Security, IEEE IoT Journal (2025)
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Advanced Temporal Graph Embedding for Detecting Fraudulent Transactions, Book Chapter (2025)
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MGGPT: A Multi-Graph GPT-enhanced Framework for Dynamic Fraud Detection, Computer Networks (2025)
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Cloud-Service-Based Blockchain Infrastructure for ML Data Incentives, IEEE IoT Journal (2025)
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HIBA: Hierarchical High-Performance Blockchain Architecture, IEEE Transactions on Networking (2025)
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Precision-Guided Smart Contract Fuzzing by Static Analyses, Conference Paper (2025)
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PRIDN: Privacy Preserving Data Sharing on Named Data Networking, IEEE TIFS (2024)
NOTABLE PUBLICATIONS
"A Blockchain-NDN Enabled Framework for Secure Vehicular Networking"
- Author: Christian Nii Aflah Cobblah; Qi Xia; Goodlet Akwasi Kusi; Isaac Amankona Obiri; Hu Xia; Jianbin Gao
- Journal: IEEE Transactions on Networking
- Year: 2025
"A Scalable and Memory-Efficient Architecture for Blockchain-Based IoT Privacy and Security"
- Author: Hu Xia; Christian Nii Aflah Cobblah; Qi Xia; Jianbin Gao
- Journal: IEEE Internet of Things Journal
- Year: 2025
"Advanced Temporal Graph Embedding for Detecting Fraudulent Transactions on Complex Blockchain Transactional Networks"
- Author: Jianbin Gao; Ansu Badjie; Qi Xia; Patrick Mukala; Hu Xia; Grace Mupoyi Ntuala
- Journal: Book chapter
- Year: 2025
"MGGPT: A Multi-Graph GPT-enhanced framework for dynamic fraud detection in cryptocurrency networks"
- Author: Ansu Badjie; Grace Mupoyi Ntuala; Qi Xia; Jianbin Gao; Hu Xia
- Journal: Computer Networks
- Year: 2025
"Cloud-Service-Based Blockchain Infrastructure for ML Data Incentives"
- Author: Goodlet Akwasi Kusi; Qi Xia; Jianbin Gao; Hu Xia; Christian N. A. Cobblah
- Journal: IEEE Internet of Things Journal
- Year: 2025