Professor at SRM Institute of Science and Technology, India
Dr. Vijayakumar Ponnusamy is a distinguished academic with over 22 years of experience in Electronics and Communication Engineering (ECE). He currently serves as a Professor at SRM Institute of Science and Technology, Chennai, where he has contributed significantly to research in areas like cognitive radio, machine learning, deep learning, wireless communication, and embedded systems. Dr. Ponnusamy has an extensive background in both academic and industrial research, having led several funded projects and published over 100 papers in high-impact journals. His expertise spans IoT, AI-driven healthcare systems, and wireless protocols. Dr. Ponnusamy has received numerous accolades, including the Dr. Abdul Kalam Young Scientist Award and Best Paper Awards at international conferences. He has also supervised PhD scholars and holds multiple patents in innovative technologies like AI-based healthcare devices and wireless sensor networks. His work reflects a strong commitment to socially relevant problem-solving through interdisciplinary research.
Professional Profile
Education
Dr. Vijayakumar Ponnusamy holds a strong academic foundation in Electronics and Communication Engineering (ECE). He completed his Bachelor’s degree (B.E.) in Electronics and Communication Engineering, which laid the groundwork for his technical expertise. He then pursued a Master’s degree (M.E.) in Communication Systems, further enhancing his knowledge in areas like wireless communication, signal processing, and networking. Dr. Ponnusamy earned his PhD in Electronics and Communication Engineering, focusing on advanced research in cognitive radio, wireless communication, and embedded systems. His doctoral research emphasized innovation in communication protocols and AI-based systems, contributing significantly to his field. Throughout his educational journey, he has demonstrated a commitment to integrating cutting-edge technologies with practical applications, which later shaped his career in academia and research. Dr. Ponnusamy’s robust academic background has been instrumental in his contributions to machine learning, IoT, and AI-driven solutions, particularly in the healthcare and communication sectors.
Professional Experience
Dr. Vijayakumar Ponnusamy has a rich professional background, with extensive experience in academia and research. He has worked as a professor in the field of Electronics and Communication Engineering, where he has been actively involved in teaching, mentoring, and guiding research students. His expertise spans key areas such as cognitive radio, wireless communication, embedded systems, and machine learning, contributing to advancements in these fields. In addition to his academic roles, Dr. Ponnusamy has participated in numerous research projects, collaborating with industry professionals and researchers globally. His work has focused on developing AI-driven solutions for healthcare, communication technologies, and the Internet of Things (IoT). He has also published extensively in reputed international journals and conferences. Dr. Ponnusamy’s experience bridges the gap between theoretical research and practical applications, making him a significant contributor to innovations in communication systems and AI-based technologies. His leadership in academic research has earned him recognition in the global scientific community.
Research Interest
Dr. Vijayakumar Ponnusamy’s research interests lie at the intersection of cutting-edge technologies, focusing on areas such as cognitive radio networks, wireless communication, embedded systems, and machine learning. His work aims to enhance communication efficiency and intelligent systems, particularly in fields like healthcare and the Internet of Things (IoT). Dr. Ponnusamy is particularly passionate about cognitive radio, where his research addresses spectrum management, improving bandwidth efficiency, and solving communication bottlenecks. He also explores AI-driven solutions, applying machine learning algorithms to optimize wireless systems and enable smarter, adaptive communication networks. In the embedded systems domain, his research delves into designing efficient hardware-software integration to support next-generation applications. Dr. Ponnusamy’s interdisciplinary approach integrates theory with practical solutions, contributing to the advancement of wireless technologies, IoT, and AI. His research is aimed at creating innovative, scalable solutions that can have real-world applications across various industries.
Award and Honor
Dr. Vijayakumar Ponnusamy has been recognized for his contributions to academia and research through numerous awards and honors. His work in wireless communication, cognitive radio networks, and embedded systems has earned him accolades at both national and international levels. He has received prestigious best paper awards at several renowned conferences, underscoring the impact of his research in enhancing communication systems and advancing technology in his field. Dr. Ponnusamy has also been the recipient of various research grants from leading institutions, supporting his work on innovative projects in machine learning, IoT, and AI-driven communication solutions. His dedication to academic excellence has earned him recognition as a distinguished researcher and educator, with invitations to serve as a keynote speaker at prominent global forums. These awards and honors highlight Dr. Ponnusamy’s ongoing commitment to pushing the boundaries of technology and contributing meaningful advancements to the scientific community.
Conclusion
Vijayakumar Ponnusamy is a highly qualified candidate for the Best Researcher Award. His extensive research contributions, particularly in the fields of wireless communication, machine learning, and embedded systems, coupled with his strong academic background and numerous accolades, position him as a competitive nominee. Strengthening international collaborations and focusing on the broader societal impact of his work could enhance his chances further.
Publication top noted
- 📄 “Real-Time Monitoring and Assessment of Rehabilitation Exercises for Low Back Pain through Interactive Dashboard Pose Analysis Using Streamlit—A Pilot Study”
- Authors: Ekambaram, D., Ponnusamy, V.
- Year: 2024
- Journal: Electronics (Switzerland), 13(18), 3782
- Citations: 0
- 📄 “A Review of Secure Healthcare Data Analytics using Federated Machine Learning and Blockchain Technology”
- Authors: Manickam, N., Ponnusamy, V.
- Year: 2024
- Journal: IEIE Transactions on Smart Processing and Computing, 13(3), pp. 254–262
- Citations: 0
- 📄 “Enhancement of Ambulatory Glucose Profile for Decision Assistance and Treatment Adjustments”
- Authors: Satuluri, V.K.R.R., Ponnusamy, V.
- Year: 2024
- Journal: Diagnostics, 14(4), 436
- Citations: 0
- 📄 “Real-Time AI-Assisted Visual Exercise Pose Correctness during Rehabilitation Training for Musculoskeletal Disorder”
- Authors: Ekambaram, D., Ponnusamy, V.
- Year: 2024
- Journal: Journal of Real-Time Image Processing, 21(1), 2
- Citations: 4
- 📚 “Artificial Intelligence, Computer Vision, and Robotics for Industry 5.0”
- Authors: Gouthaman, P., Shanthi, R.R., Ponnusamy, V., Arivazhagan, N., Nallarasan, V.
- Year: 2024
- Book: Industry 4.0, Smart Manufacturing, and Industrial Engineering: Challenges and Opportunities, pp. 196–216
- Citations: 0
- 📚 “AI-Enabled Digital Twin Technology in Smart Manufacturing”
- Authors: Ponnusamy, V., Ekambaram, D., Zdravkovic, N.
- Year: 2024
- Book: Industry 4.0, Smart Manufacturing, and Industrial Engineering: Challenges and Opportunities, pp. 248–270
- Citations: 0
- 📄 “Genetic Algorithm and the Kruskal-Wallis H-test-Based Trainer Selection Federated Learning for IoT Security”
- Authors: Bhavani, A., Ponnusamy, V.
- Year: 2024
- Journal: IEEE Access (in press)
- Citations: 0
- 📄 “An Integrated Federated Machine Learning and Blockchain Framework with Optimal Miner Selection for Reliable DDOS Attack Detection”
- Authors: Saveetha, D., Maragatham, G., Ponnusamy, V., Zdravkovic, N.
- Year: 2024
- Journal: IEEE Access (in press)
- Citations: 0
- 📄 “Impact of Internet of Things in Smart Agriculture”
- Authors: Siva, V., Ponnusamy, V.
- Year: 2024
- Conference Paper: Lecture Notes in Networks and Systems, 946, pp. 349–359
- Citations: 0
- 📚 “Robust Touch-Free Palm Vein Sensor Authentication System”
- Authors: Ponnusamy, V., Madhava, R., Balasabarish, E., Durga, K.H., Sangeetha, M.
- Year: 2024
- Book: Signals and Communication Technology, Part F2556, pp. 565–574
- Citations: 0
