Assistant Professor at Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, India📖
Dr. C. Ezhilazhagan is a Senior Member of IEEE with over 17 years of experience in academia and research, specializing in Wireless Communication. He completed his Ph.D. from Anna University, Chennai, in 2022, focusing on Wireless Communication, and has an M.E. in Optical Communication. His career spans various roles, from Lecturer to Assistant Professor (Selection Grade), with a deep commitment to advancing knowledge in communication systems. Dr. Ezhilazhagan has authored over 11 international journals, 16 conferences, and 5 book chapters, along with four patents, contributing significantly to the field. He is also an active member of several professional societies, including IEEE and IET, and has organized numerous seminars, workshops, and FDPs.
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Education Background🎓
- Ph.D. in Wireless Communication, Anna University, Chennai (2022)
- M.E. in Optical Communication, A.C. College of Engineering & Technology, Karaikudi, Anna University (2007)
- B.E. in Electronics and Communication Engineering, M.S.A.J. College of Engineering, Egattur, Anna University (2005)
- Diploma in Electronics and Communication Engineering, Chengalvaraya Naicker Polytechnic College, Vepery (2002)
Professional Experience🌱
Dr. Ezhilazhagan’s professional journey includes various esteemed academic positions, having served as a Lecturer and Assistant Professor in prominent institutions like Bharath University, St. Peters Engineering College, Jawahar Engineering College, Dr. N.G.P. Institute of Technology, and Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology. His teaching spans topics in Optical and Wireless Communication, contributing to the academic growth of many students. In addition to teaching, Dr. Ezhilazhagan has held significant roles in academic administration, including NBA, NAAC, and NIRF coordination, and served as an active member of the Institutional Research and Development committee.
Dr. Ezhilazhagan’s research interests are in the areas of Wireless Communication, Optical Communication, Internet of Things (IoT), FPGA-based signal processing, and Artificial Intelligence applications in Communication Systems. He is particularly focused on advancing communication technologies and their application in the evolving landscape of Industry 4.0.
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Publications Top Notes 📄
1. Estimating Time and Frequency under Imperfect Channel Knowledge using ECM and SAGE Algorithms in Multi-relay Cooperative Networks
- Authors: Ezhilazhagan Chenguttuvan, Lakshmi Prabha Karuppiah, Karuppanan Sakthisudhan
- Published in: EURASIP Journal on Wireless Communications and Networking, 2025
- DOI: 10.1186/s13638-024-02418-9
- Summary: This paper focuses on estimating time and frequency in wireless communication networks, particularly in multi-relay cooperative networks with imperfect channel knowledge. It discusses the application of Expectation Conditional Maximization (ECM) and Space Alternating Generalized Expectation (SAGE) algorithms for better performance in these conditions.
2. Hybrid Machine Learning Approach for Early Stroke Prediction in Elderly People
- Authors: P. Divya, K.L. Prabha, B.A. Devi, V.V. Kumar, K. Balaji, C. Ezhilazhagan, et al.
- Published in: Communications on Applied Nonlinear Analysis, 2025, Vol. 32(2s), Pages 241-249
- Summary: This research proposes a hybrid machine learning approach to predict the early onset of strokes in elderly individuals, enhancing the capacity for early diagnosis and intervention using medical data and machine learning techniques.
3. Mitigating Energy Holes and Enhancing QoS in Delay Tolerant Networks: The EEEHR-M Protocol
- Authors: Lakshmi Prabha Karuppiah, Ezhilazhagan Chenguttuvan
- Published in: 2024
- Summary: This paper addresses the issue of energy holes and Quality of Service (QoS) in delay-tolerant networks (DTNs). It proposes the EEEHR-M protocol as a solution to mitigate energy holes and improve the QoS in these networks, which are often deployed in environments with intermittent connectivity.
4. Human Sound Detection for Multiple Disease Classification using CNN
- Authors: Ezhilazhagan Chenguttuvan, Lakshmi Prabha, Sakthisudhan Karupanan
- Presented at: 9th International Conference on ICT for Sustainable Development, 2024
- Summary: This conference paper explores the use of Convolutional Neural Networks (CNN) to detect human sounds as part of a system for classifying multiple diseases, potentially aiding in non-invasive diagnostics and monitoring of health conditions.
5. Energy Hole Problem in Wireless Sensor Networks: A Research Review
- Author: Lakshmi Prabha, Ezhilazhagan Chenguttuvan
- Published in: Futuristic Trends in Network & Communication Technologies, 2024, Vol. 3
- Summary: This research review paper examines the energy hole problem in wireless sensor networks (WSNs) and offers insights into strategies and approaches for mitigating this issue, which impacts the performance and lifespan of WSNs.
Conclusion
Dr. Ezhilazhagan Chenguttuvan is undoubtedly a highly deserving candidate for the Best Researcher Award. His extensive contributions in the fields of wireless and optical communication, along with his ability to integrate emerging technologies into his work, make him a leader in his field. His high-quality publications, leadership in teaching, and active participation in the academic community underscore his dedication to advancing knowledge and research in communication systems.
To further enhance his contributions, expanding international collaborations, diversifying his research scope, and focusing on translational research will enable him to address future challenges and make an even greater impact on both the academic and industrial fronts. With these enhancements, Dr. Chenguttuvan has the potential to remain at the forefront of his field, pushing the boundaries of communication technologies and their applications in the digital age.