Dr. Kanneboina Ashok | Internet of Medical Things | Best Researcher Award
Assistant professor at Mallareddy university, India
Publication Profile :
Educational Background 🎓
Dr. Kanneboina Ashok is an Assistant Professor at Mallareddy University, Hyderabad, specializing in the intersection of healthcare and technology. With a solid academic foundation, he has made significant contributions in the field of Remote Health Monitoring using the Internet of Medical Things (IoMT). He holds a wealth of research experience, having published 9 research papers in prestigious journals (SCI, Scopus) and authored a book currently under review. His research focuses on optimizing IoMT systems in healthcare to overcome challenges such as delays, energy inefficiencies, and security vulnerabilities, all while maintaining scalability. Dr. Ashok has filed one patent in 2023 and has another ready for publication.
Professional Experience 💼
- Ashok, K., & Gopikrishnan, S. (2024). A hybrid secure signcryption algorithm for data security in an Internet of Medical Things environment. Journal of Information Security and Applications, 85, 103836. [Link Disabled]
- Kanneboina, A., & Sundaram, G. (2024). Improving security performance of the Internet of Medical Things using a hybrid metaheuristic model. Multimedia Tools and Applications. [Link Disabled]
- Ashok, K., & Gopikrishnan, S. (2024). Q-learning model for blockchain security in Internet of Medical Things networks. International Journal of Computer Networks and Communications, 16(1), 33–50. [Link Disabled]
- Ashok, K., & Gopikrishnan, S. (2024). A framework provides authorized personnel with secure access to their electronic health records. In Lecture Notes in Networks and Systems (Vol. 894, pp. 137–148). [Link Disabled]
- Ashok, K., & Gopikrishnan, S. (2023). Improving security performance of healthcare data in the Internet of Medical Things using a hybrid metaheuristic model. International Journal of Applied Mathematics and Computer Science, 33(4), 623–636. [Open Access]
- Ashok, K., & Gopikrishnan, S. (2023). Statistical analysis of remote health monitoring-based IoT security models & deployments from a pragmatic perspective. IEEE Access, 11, 2621–2651. [Open Access]