Gopinath N | Vehicular Communication Systems | Best Researcher Award

Posted on by Automobile 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.

Sreya Ghosh | Vehicular Communication Systems | Women in Automotive Award

Posted on by Automobile Award

Dr. Sreya Ghosh | Vehicular Communication Systems | Women in Automotive Award

Assistant Professor  | IEM Kolkata  |  India

Dr. Sreya Ghosh is an accomplished researcher and academic specializing in intelligent transportation systems, vehicular ad hoc networks (VANETs), and wireless communication technologies. Currently serving as an Assistant Professor in the Department of Computer Science and Engineering (AIML) at the Institute of Engineering and Management, Kolkata, she has contributed significantly to the advancement of AI- and ML-driven solutions for next-generation vehicular networks. Her doctoral research at Jadavpur University focused on the design of vehicular ad hoc networks with enhanced performance applicable to intelligent transportation systems, integrating machine learning and communication optimization techniques. Over the years, she has published several impactful research papers in reputed international journals such as Wiley and Springer, with notable works including intelligent sensing-based resource allocation in 5G-V2X networks, RSU deployment optimization using complex network analysis, and enhanced routing algorithms for energy-efficient vehicular communication. Dr. Ghosh has also presented her research at numerous IEEE conferences, contributing to the development of algorithms for CO₂ emission reduction, cooperative caching, and congestion mitigation in smart cities. Her research interests span sensor networks, AI/ML applications, natural language processing, IoT, and algorithm design, with a strong emphasis on sustainable intelligent mobility. She possesses advanced technical skills in Python, PyTorch, Keras, MATLAB, and C, enabling her to develop and simulate intelligent systems effectively. She has been awarded prestigious fellowships, including the CSIR Senior Research Fellowship and the UGC UPE Fellowship, in recognition of her research excellence. Additionally, she has contributed as a reviewer for reputed IEEE and Springer journals and conferences and has organized academic events promoting innovation in computing and communication technologies. Her dedication to research and academic excellence reflects her commitment to advancing intelligent systems for societal benefit. She has achieved 59 Citations,   11 Documents, 4 h-index.

Profiles: Google Scholar  |  ORCID  |  Scopus

Featured Publications 

  1. Ghosh, S., Misra, I. S., & Chakraborty, T. (2023). Optimal RSU deployment using complex network analysis for traffic prediction in VANET. Peer-to-Peer Networking and Applications, 16(2), 1135–1154. Citations: 18

  2. Ghosh, S., & Misra, I. S. (2020). Enhanced QoS performance with reduced route overhead by ant colony optimization algorithm for VANET. In 2020 IEEE Applied Signal Processing Conference (ASPCON) (pp. 237–241). IEEE. Citations: 10

  3. Ghosh, S., & Misra, I. S. (2017). Design and testbed implementation of an energy efficient clustering protocol for WSN. In 2017 International Conference on Innovations in Electronics, Signal Processing and Communication (IESC) (pp. 55–60). IEEE. Citations: 9

  4. Ghosh, S., Misra, I. S., & Chakraborty, T. (2023). Improved Quality of Service by canine olfactory route finding algorithm for Vehicular Ad Hoc Network. Transactions on Emerging Telecommunications Technologies, 34(6), e4764. Citations: 5

  5. Ghosh, S., Misra, I. S., & Chakraborty, T. (2022). Developing an application for intelligent transportation system for emergency health care. In 2022 IEEE Calcutta Conference (CALCON) (pp. 39–43). IEEE. Citations: 2

Dr. Sreya Ghosh’s research integrates artificial intelligence, wireless communication, and vehicular networking to build smarter, safer, and more sustainable transportation ecosystems. Her innovative work on RSU optimization, QoS enhancement, and energy-efficient network design contributes to the development of next-generation intelligent transportation systems that support traffic efficiency, environmental sustainability, and smart city evolution worldwide..