Gopinath N | Vehicular Communication Systems | Best Researcher Award

Dr. Gopinath N | Vehicular Communication Systems | Best Researcher Award

Assistant Professor | SRM Institute of Science and Technology | India

Dr. N. Gopinath is an accomplished academic known for his impactful contributions to computational intelligence, where his work spans image processing, machine learning, wireless sensor networks, IoT frameworks, VANET security, and hybrid optimization models, reflecting a research trajectory grounded in both theoretical depth and practical innovation; his professional experience includes more than a decade of research and teaching, during which he has actively contributed to intelligent systems development, data-driven decision architectures, and secure communication models for emerging technologies, consistently publishing in reputed journals and international conferences while engaging in interdisciplinary projects that strengthen the bridge between digital systems and real-world applications; his research interests encompass Image Processing, Machine Learning, Wireless Sensor Networks, Internet of Things (IoT), VANET Security, Cloud and Edge Computing, and Parallel/Optimization Algorithms, while his research skills extend to clustering algorithms, cryptographic security models, deep learning–driven pattern recognition, hybrid metaheuristics, IoT automation frameworks, distributed computing, and intelligent routing protocols; he has demonstrated expertise in developing advanced authentication schemes for vehicular networks, reinforcement-based clustering mechanisms, intelligent agricultural automation systems, and machine-learning-enabled healthcare solutions, highlighting his versatility across multiple computational domains; his scholarly achievements include several peer-reviewed publications, contributions to high-impact conferences, and innovative problem-solving approaches that address challenges in smart systems and communication technologies; he has also been recognized for his academic excellence, research productivity, and contributions to interdisciplinary innovation through various institutional and scholarly acknowledgments; overall, Dr. Gopinath’s work reflects a strong commitment to advancing intelligent digital ecosystems, securing networked environments, and developing sustainable computational solutions, contributing significantly to the evolving landscape of smart and autonomous technologies, and positioning him as a notable researcher whose outputs continue to influence modern computational paradigms. He has achieved  77 Citations, 24 Documents, 4h−index.

Profiles:  Google Scholar  |  Scopus | ORCID

Featured Publications 

Ragunthar, T., Ashok, P., Gopinath, N., & Subashini, M. (2021). A strong reinforcement parallel implementation of K-means algorithm using message passing interface. Materials Today: Proceedings, 46, 3799–3802. Citations: 32

Gopinath, N. (2012). Extraction of cancer cells from MRI prostate image using MATLAB. International Journal of Engineering Science and Innovative Technology. Citations: 23

Saranya, G., Gopinath, N., Geetha, G., Meenakshi, K., & Nithya, M. (2020). Prediction of customer purchase intention using linear support vector machine in digital marketing. Journal of Physics: Conference Series, 1712(1), 012024. Citations: 18

Nithyanandam, G., Ambiyaram, C., & Prabathkumar, S. (2023). An intelligent hybrid prairie dog optimization algorithm-based stable cluster reliable routing scheme for VANETs. International Journal of Communication Systems, 36(14), e5549. Citations: 12

Rubasri, S., & Hemavathi, S. (2022). Cosmetic product selection using machine learning. In Proceedings of the 2022 International Conference on Communication, Computing and Internet of Things (IC3IoT). Citations: 12

Dr. N. Gopinath’s research advances intelligent computing through innovative algorithms, secure communication frameworks, and data-driven decision systems that influence healthcare, digital communication, and smart mobility. His contributions support global innovation by integrating machine learning, IoT, and optimization models to solve complex societal and industry challenges.

Athanasios Kanavos | Vehicular Communication Systems | Best Researcher Award

Dr. Athanasios Kanavos | Vehicular Communication Systems | Best Researcher Award

Postdoctoral Researcher  |  Department of Informatics and Telecommunications, Tripoli  |  Greece

Dr. Athanasios Kanavos is a distinguished postdoctoral researcher at the Department of Informatics and Telecommunications, University of Peloponnese, where he contributes extensively to the Wireless and Mobile Communications Lab. His professional expertise lies in advanced V2X communications, cellular networks, and communication protocols, focusing on optimizing network performance for next-generation intelligent transportation systems. His ongoing research emphasizes reinforcement learning-based scheduling techniques for autonomous driving applications in emerging 6G cellular networks, addressing challenges in resource allocation, latency, and reliability. Dr. Kanavos’s research interests span cellular communications, network performance evaluation, handover and scheduling algorithms, and the integration of AI/ML techniques for intelligent network management. His technical proficiency and research skills include simulation-based protocol design, performance analysis, and algorithmic optimization for vehicular and wireless communication systems. With several impactful publications in respected international journals such as Telecom and ACM conferences, his scholarly contributions have advanced the understanding of adaptive scheduling mechanisms and their application in vehicular communication environments. His innovative approaches have significantly improved throughput, connectivity stability, and communication reliability in dynamic vehicular networks, showcasing both academic excellence and industrial relevance. Recognized for his scientific rigor and commitment to the advancement of wireless communication technologies, Dr. Kanavos continues to influence future developments in connected mobility and smart transportation. His dedication to bridging the gap between theoretical research and practical solutions underscores his position as a leading figure in the field of next-generation communication systems. He has achieved 29 Citations,  4 Documents, 2 h-index.

Profiles:  ORCID  |  Scopus

Featured Publications 

1. Kanavos, A., & Kaloxylos, A. (2025, February 19). V2X Communications in Highway Environments: Scheduling Challenges and Solutions for 6G Networks. Telecom.

2. Kanavos, A., Barmpounakis, S., & Kaloxylos, A. (2023, July 6). An Adaptive Scheduling Mechanism Optimized for V2N Communications over Future Cellular Networks. Telecom.

3. Kanavos, A., Fragkos, D., & Kaloxylos, A. (2021, January). V2X Communication over Cellular Networks: Capabilities and Challenges. Telecom.

4. Kanavos, A., Fragkos, D., & Kaloxylos, A. (2020, November 20). Delay and Spectrum Analysis for V2X Communication over 5G Networks. 24th Pan-Hellenic Conference on Informatics.

Dr. Athanasios Kanavos’s research advances the evolution of intelligent transportation systems by enhancing the efficiency and reliability of V2X communications within 5G and 6G networks. His innovative scheduling and resource allocation mechanisms contribute to safer, low-latency, and more connected vehicular ecosystems—driving global progress toward autonomous mobility and smarter urban infrastructures.