Kavuri Satheesh | Cryptography | Best Researcher Award

Published on by Innovation Technologist

Dr. Kavuri Satheesh | Cryptography | Best Researcher Award

Vasireddy Venkatadri International Technological University | India 

Dr. Kavuri K. S. V. A. Satheesh is an accomplished academician and researcher with over two decades of experience in the field of computer science and engineering. His passion for teaching and research has led to significant contributions in cloud computing, blockchain technology, and network security. He has consistently demonstrated excellence in both teaching and research, publishing numerous papers in reputed journals and participating in conferences.

Publication Profile 

Scopus

Google Scholar

Educational Background 

He holds a Ph.D. in Computer Science and Engineering, along with postgraduate and undergraduate degrees in computer science. Additionally, he completed an M.Tech. in Computer Science and Engineering, establishing a strong academic foundation that supports his teaching and research expertise.

Professional Experience 

With a career spanning more than 25 years, he has served in various academic roles ranging from Lecturer to Professor in reputed engineering institutions. His responsibilities have included mentoring postgraduate and engineering students, delivering lectures on advanced computer science topics, and guiding research projects.

Research Interests 

His primary research interests lie in cloud computing, blockchain technology, and network security. He has explored innovative solutions to enhance security in cloud environments and developed models for authentication, encryption, and secure data management. His work also extends to artificial intelligence, machine learning, and their integration with secure computing models.

Awards and Honors 

He has published extensively in SCI and Scopus-indexed journals, authored a book on network and system security, and contributed chapters to reputed publications. Additionally, he holds patents related to cryptographic systems and data security techniques, reflecting his commitment to technological innovation and applied research.

Research Skills 

Dr. Satheesh possesses strong expertise in encryption models, secure authentication systems, data access control, and cryptographic techniques for cloud environments. His technical skills span programming languages, algorithm design, and security protocol development. He has also participated in several faculty development programs and advanced workshops on machine learning, blockchain, and cloud computing.

Publications 

  1. Title: Data authentication and integrity verification techniques for trusted/untrusted cloud servers
    Citations: 20
    Year: 2014

  2. Title: Resource allocation method using scheduling methods for parallel data processing in cloud
    Citations: 16
    Year: 2012

  3. Title: An improved integrated hash and attributed based encryption model on high dimensional data in cloud environment
    Citations: 9
    Year: 2017

  4. Title: A Novel Hardware Parameters Based Cloud Data Encryption and Decryption Against Un-Authorized Users
    Citations: 5
    Year: 2016

  5. Title: Cryptographic access control schemes in cloud storage services
    Citations: 5
    Year: 2015

Conclusion 

Dr. Kavuri K. S. V. A. Satheesh is a dedicated educator and researcher committed to advancing knowledge in computer science and engineering. His extensive teaching experience, impactful research, and innovative contributions to security in cloud and distributed systems underscore his suitability for academic leadership and research-driven roles in higher education and industry collaborations.

Zhu Yongsheng | Data Privacy Protection | Best Researcher Award

Published on by Innovation Technologist

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.