Ezhilazhagan Chenguttuvan | Technological Networks | Best Researcher Award

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Assist. Prof. Dr. Ezhilazhagan Chenguttuvan | Technological Networks | Best Researcher Award

Assistant Professor at Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Indiađź“–

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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Google Scholar Profile

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.

Research Interests🔬

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.

Author Metrics

Dr. Ezhilazhagan has made remarkable contributions to research with over 11 international journal publications, 16 conference papers, and several book chapters. His works are frequently cited, and he serves as a reviewer for numerous SCI and Scopus indexed journals. He has also authored two books and edited another, showcasing his expertise in his field. Dr. Ezhilazhagan continues to make substantial contributions to the field of communication, with ongoing research and publications.

Awards & Achievements

  • Guest of Honour – Teachers Day Award (2022)
  • NPTEL Certifications in Industry 4.0, Wireless Communication, AI, and Machine Learning
  • Active contributor to conferences such as ICCSP’24 and ICCSCT 2023
  • Reviewer for multiple SCI and Scopus indexed journals
Publications Top Notes đź“„

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.

Jose Mendes | Network Theory | Network Science Visionary Award

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Prof. Jose Mendes | Network Theory | Network Science Visionary Award

Professor,at univ aveiro, Portugalđź“–

JosĂ© Fernando Mendes is a Full Professor at the Department of Physics, University of Aveiro, Portugal, and a globally recognized expert in statistical physics and complex systems. His pioneering research on ‘small-world’ and ‘scale-free’ networks has significantly influenced multiple domains, including neuroscience, ecology, and epidemiology. A Fellow of the American Physical Society (APS) and the Academia Europaea, he has published over 160 peer-reviewed articles, authored three books with Oxford and Cambridge University Press, and presented groundbreaking analytical solutions to major network models. His contributions have earned him numerous accolades, including the Senior Prize of the Complex Systems Society (2020) and honorary fellowships.

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Education Background🎓

José Fernando Mendes holds a Habilitation in Physics from the University of Porto, Portugal (2002), a Ph.D. in Physics from the same institution (1995), and a Master’s in Physics from the University of Porto (1990). His extensive academic background has equipped him with the expertise needed to become a leading figure in his field, particularly in theoretical physics and complex systems.

Professional Experience🌱

José Fernando Mendes has an illustrious career in academia, holding the position of Full Professor at the Department of Physics, University of Aveiro, Portugal, since 2005. Before this, he served as Associate Professor at the same department (2002-2005) and Assistant Professor at the University of Porto, Portugal (1995-2002). Mendes has also held prestigious roles as a visiting researcher and invited professor at various renowned institutions worldwide, including École Polytechnique Fédérale de Lausanne (EPFL), Nanyang Technical University (NTU), and ETH Zurich, among others. Additionally, he has contributed significantly to university administration, having served as Vice-Rector for Research at the University of Aveiro (2010-2018) and Director of the Associated Laboratory I3N from 2009 to 2010, with renewed leadership in 2023.

Research Interests🔬

Prof. Mendes’ research spans statistical physics, complex systems, granular media, soft condensed matter, complex networks, and computational physics. He is especially known for:

  • Analytical solutions of small-world and scale-free network models.
  • Statistical mechanics approaches for random graphs.
  • Applications in neuroscience, epidemics modeling, and ecology.
  • Hybrid phase transitions and explosive percolation.

Author Metrics 

José Fernando Mendes has made a substantial impact in his field, with over 160 papers published in peer-reviewed journals, including high-impact journals such as Reviews of Modern Physics, Nature Physics, and Physical Review Letters. His scholarly work has earned him over 21,000 citations, an h-index of 49, and an average of 70 citations per paper. Notably, his two books published by Oxford University Press have received over 3,400 citations. His work on complex networks and statistical physics has significantly influenced various scientific disciplines, cementing his position as a leading figure in his area of expertise.

Major Breakthroughs

  • Exact analytical solutions for small-world phenomena and the Albert-Barabási model.
  • Generalized scaling for non-equilibrium systems.
  • Data-driven models for COVID-19 and other epidemics.
  • Introduced metrics for ranking scientists and analyzing mobility program disparities.

Publications Top Notes đź“„

1. Evolution of Networks: From Biological Nets to the Internet and WWW

  • Authors: S.N. Dorogovtsev, J.F.F. Mendes
  • Publisher: Oxford University Press, 2003
  • Year: 2003
  • Content Summary: This book explores the principles and mechanisms of network evolution across biological, technological, and social systems, focusing on the Internet and the World Wide Web.
  • Citations: 4185

2. Evolution of Networks

  • Authors: S.N. Dorogovtsev, J.F.F. Mendes
  • Journal: Advances in Physics, 51(4), pp. 1079–1187
  • Year: 2002
  • DOI: 10.1080/00018730110112519
  • Content Summary: This comprehensive review covers network evolution mechanisms, small-world and scale-free networks, and their clustering properties, with applications in diverse real-world systems.
  • Citations: 4140

3. Critical Phenomena in Complex Networks

  • Authors: S.N. Dorogovtsev, A.V. Goltsev, J.F.F. Mendes
  • Journal: Reviews of Modern Physics, 80(4), pp. 1275–1335
  • Year: 2008
  • DOI: 10.1103/RevModPhys.80.1275
  • Content Summary: This paper investigates critical phenomena in complex networks, focusing on phase transitions, percolation, and synchronization in fields ranging from physics to biology.
  • Citations: 2520

4. Sync and Swarm: Solvable Model of Nonidentical Swarmalators

  • Authors: S. Yoon, K.P. O’Keeffe, J.F.F. Mendes, A.V. Goltsev
  • Journal: Physical Review Letters, 129(20), Article 208002
  • Year: 2022
  • DOI: 10.1103/PhysRevLett.129.208002
  • Content Summary: This paper introduces a solvable model of swarmalators, entities combining synchronization and swarming, with applications in fields such as biology and robotics.
  • Citations: 22

5. Weak Percolation on Multiplex Networks with Overlapping Edges

  • Authors: G.J. Baxter, R.A. da Costa, S.N. Dorogovtsev, J.F.F. Mendes
  • Journal: Chaos, Solitons and Fractals, 164, Article 112619
  • Year: 2022
  • DOI: 10.1016/j.chaos.2022.112619
  • Content Summary: This study explores weak percolation in multiplex networks with overlapping edges, providing insights into their structural robustness and critical behavior.
  • Citations: 5
Conclusion

Prof. José Fernando Mendes is an outstanding candidate for the Network Science Visionary Award due to his pioneering contributions to network theory, his interdisciplinary influence, and his sustained academic excellence. His ability to provide analytical solutions to complex problems has profoundly impacted network science. To further amplify his impact, expanding collaborations with other research sectors and embracing emerging technologies would be beneficial. Overall, his legacy in network science is already firmly established, and his continued work promises to shape the field for many years to come.