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.

Ding Peng | Autonomous Vehicles | Best Researcher Award

Assist. Prof. Dr. Ding Peng | Autonomous Vehicles | Best Researcher Award

Associate Professor | Wuxi University of Technology |China

Assist. Prof. Dr. Ding Peng is an accomplished academic and researcher currently serving as an Associate Professor at Wuxi University of Technology, formerly known as Wuxi Institute of Technology, China. He is also a key member of the Jiangsu Province Engineering Research Center for Energy Saving and Safety of New Energy Vehicles, where he plays a vital role in promoting innovation and sustainability in the automotive sector. Dr. Peng obtained his degree in Vehicle Engineering from Chongqing University which laid a strong foundation for his expertise in intelligent vehicle systems and new energy technologies. His professional experience includes working as a Design Engineer at King Long United Automotive Industry (Suzhou) Co., Ltd., where he participated in the design and development of commercial buses, followed by a distinguished academic career at Wuxi University of Technology . Over the years, Dr. Peng has demonstrated exceptional competence in teaching and research, covering courses such as Automobile Structure, Automobile Theory, Principles of Automatic Control, and Intelligent and Connected Vehicle Technologies. His research interests focus on thermal management technologies for new energy vehicles, autonomous vehicle control strategies, and intelligent connected vehicle (V2X) technologies. His research skills encompass modeling, simulation, data fusion, control algorithms, and system optimization, emphasizing practical integration between academia and industry. Dr. Peng has led numerous enterprise and government-funded projects, published several high-impact academic papers, and secured multiple national patents, showcasing his dedication to advancing innovation in smart and sustainable mobility. His awards and honors include recognition for his leadership in research excellence, academic innovation, and contributions to engineering education. Driven by a vision of merging scientific theory with real-world application, he continues to nurture the next generation of engineers while advancing intelligent vehicle technologies. He has achieved 26 citations , authored 7 scientific papers, and holds an h-index of 2 .

Profiles:  Scopus | ORCID

Featured Publications

  1. Ding, P. (2025). A Cooperative Control Strategy for Predicting Passing Capacity and Intelligent Obstacle Avoidance in Autonomous Vehicles Based on Multisensor Fusion. Journal of Energy Storage.
  2. Ding, P. (2024). A distributed multiple-heat source staged heating method in an electric vehicle. International Journal of Vehicle Performance and Energy Systems.

  3. Ding, P. (2024). Distributed multi-heat-source hybrid heating system based on waste heat recovery for electric vehicles. Journal of Thermal Science and Energy Engineering.

  4. Ding, P. (2023). Research on interactive coupled preheating method utilizing engine-motor cooling waste heat in hybrid powertrains. Applied Thermal Engineering