Yaoyao Zhang | Network Security | Research Excellence Award

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Dr. Yaoyao Zhang | Network Security | Research Excellence Award

Guangzhou University | China

Dr. Yaoyao Zhang is a dedicated researcher in the field of computer science and cyberspace security, earning her Bachelor’s and Master’s degree from Zhongyuan University of Technology (2020–2023) and currently pursuing further academic advancement at Guangzhou University from 2024. Her research primarily focuses on secure data sharing, blockchain applications, and cybersecurity innovations, contributing significantly to related scientific literature. She has authored and co-authored multiple high-impact publications, including studies on medical data sharing schemes with cloud-chain cooperation in IoT, life-cycle security management mechanisms for secure image sharing, blockchain-based incentive mechanisms for cyber threat intelligence, and decentralized autonomous access control for data sharing. Her scholarly contributions extend to research on blockchain-empowered data storage security services, showcasing a strong commitment to advancing security technologies. Dr. Zhang has also participated in several major scientific research projects, including the National Natural Science Foundation of China (No.62172085), the National Key R&D Program of China (No.2022YFB3102700), the Guangdong Key Laboratory Project for Industrial Control System Security (No.2024B1212020010), and the Outstanding Young Researcher Project of the Guangdong Provincial Natural Science Foundation (No.2025B1515020022), reflecting her active role in cutting-edge innovation and national-level scientific progress.

Profiles: Orcid

Featured Publications

"ZHOU Yuan, YANG Qing-lin, ZHUANSUN Chen-lu, CHEN Kai, LI Yi, LIU Yuan, TIANZhi-hong. Research Progress on Blockchain-Empowered Data Storage Security Service[J]. ACTA ELECTRONICASINICA, 2025".

"Li K, Pan H, Zhang Y, et al. A Blockchain-Enabled Decentralized Autonomous Access Control Schemefor DataSharing[J]. Mathematics, 2025".

"Zhou Y, Zhang Y, Yang Q, et al. A Blockchain based Efficient Incentive Mechanism in Tripartite Cyber ThreatIntelligence Service Marketplace[J]. Blockchain: Research and Applications, 2025".

"Zhang Y, Yao Z, Pan H, et al. LSMM: A Life-cycle Security Management Mechanism for Secure ImageSharing[C]//2022 2nd International Conference on Computer Science and Blockchain (CCSB). IEEE, 2022".

Jianbin Gao | Network Security | Best Researcher Award

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Dr. Jianbin Gao | Network Security | Best Researcher Award

University of Electronic Science and Technology of China | China

Author Profile

Scopus

Orcid ID

Google Scholar

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

  • A Blockchain-NDN Enabled Framework for Secure Vehicular Networking, IEEE Transactions on Networking (2025)

  • A Scalable and Memory-Efficient Architecture for Blockchain-Based IoT Privacy and Security, IEEE IoT Journal (2025)

  • Advanced Temporal Graph Embedding for Detecting Fraudulent Transactions, Book Chapter (2025)

  • MGGPT: A Multi-Graph GPT-enhanced Framework for Dynamic Fraud Detection, Computer Networks (2025)

  • Cloud-Service-Based Blockchain Infrastructure for ML Data Incentives, IEEE IoT Journal (2025)

  • HIBA: Hierarchical High-Performance Blockchain Architecture, IEEE Transactions on Networking (2025)

  • Precision-Guided Smart Contract Fuzzing by Static Analyses, Conference Paper (2025)

  • 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

Yanjun Xu | Blockchain | Best Researcher Award

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Dr. Yanjun Xu | Blockchain | Best Researcher Award

Senior Engineer at Tongji University, China

Yanjun Xu is a Senior Engineer and current Ph.D. candidate at Tongji University, Shanghai. With a strong foundation in operating systems and high-performance computing, he has contributed to advancing software-hardware co-simulation in robotics and optimizing kernel compilation processes. His work spans research, development, and practical innovation in virtual simulation and blockchain-integrated educational tools.

🔹Professional Profile:

Orcid Profile

🎓Education Background

  • Bachelor’s Degree – Ocean University of China, 2010

  • Master’s Degree – Xi’an Polytechnic University, 2013

  • Ph.D. Candidate – Tongji University

💼 Professional Development

Yanjun Xu currently serves as a Senior Engineer at Tongji University. He has been actively involved in high-precision software and hardware co-simulation for robot development and has led virtual simulation projects. His work includes kernel-level system optimization, compiler enhancement, and integration of emerging technologies in real-world applications.

🔬Research Focus

  • Operating Systems

  • High-Performance Computing

  • Robotic Simulation

  • Compiler Optimization

  • Blockchain Applications in Education

📈Author Metrics:

  • Citation Index: 80

  • Books Published: 1

    • ISBN: 978-7-115-55608-0

  • Key Publications (SCI/Scopus):

    • Collaborative Motivation Framework Leveraging Similar Interest Behavior in Semantic Web Applications

    • CGNet: Improving Contour-guided Capability for RGB-D Semantic Segmentation

    • GANet: Geometry-aware Network for RGB-D Semantic Segmentation

    • A Blockchain-Based Certificate Management System for Online Education

🏆Awards and Honors:

  • Active Member, Shanghai Blockchain Association

  • Contributor to the Open Atom Foundation Community

  • Recognized for contributions to open-source compiler development and system optimization

📝Publication Top Notes

📝 1. A Two-Way Dynamic Adaptive Pricing Resource Allocation Model Based on Combinatorial Double Auctions in Computational Network

  • Journal: Computer Communications

  • Publication Date: April 2025

  • Type: Journal Article

  • DOI: 10.1016/j.comcom.2025.108170

  • Contributors: Yanjun Xu, Chunqi Tian, Wei Wang, Lizhi Bai, Xuhui Xia

  • Source: Crossref

  • Summary:  This paper proposes a two-way dynamic adaptive pricing model for resource allocation using a combinatorial double auction mechanism in computational networks. The model is designed to handle the complexity of multi-party bidding and resource matching efficiently. By incorporating adaptive pricing strategies, the system dynamically balances supply and demand in real time, improving overall allocation efficiency. The method shows promising performance in cloud and edge computing scenarios, especially where resources are heterogeneously distributed and demand is volatile.

📝 2. Collaborative Motivation Framework Leveraging Similar Interest Behavior in Semantic Web Applications

  • Journal: International Journal on Semantic Web and Information Systems (IJSWIS)

  • Publication Date: December 28, 2024

  • Type: Journal Article

  • DOI: 10.4018/IJSWIS.365912

  • Contributors: Yanjun Xu, Chunqi Tian, Yaoru Sun, Haodong Zhang

  • Source: Crossref

  • Summary:  This research introduces a collaborative motivation framework that enhances user engagement in semantic web platforms by leveraging similar interest behavior. The proposed system models semantic relevance and behavioral similarity to personalize recommendations and group formation. This approach is particularly beneficial in social knowledge-sharing systems and e-learning platforms, where collaborative filtering alone may fall short. The framework shows strong potential for increasing user satisfaction and platform interactivity.

Conclusion:

Dr. Yanjun Xu exhibits all the hallmarks of an emerging global research leader. His technical depth, innovation in blockchain and systems research, publication record, and active community engagement make him a strong contender for the Best Researcher Award.

He bridges practical engineering challenges with advanced academic research, particularly in virtual simulation, semantic web systems, and blockchain-integrated education technologies. With continued growth in international collaborations and broader dissemination of his applied research, Dr. Xu is on a clear path to becoming a thought leader in computational systems and blockchain innovation.

✅ Recommendation: Highly suitable for the Best Researcher Award.

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.

Profile    

Scopus Profile

Google Scholar Profile 

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.