Gopinath N | Vehicular Communication Systems | Best Researcher Award

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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.

Adekanmi Adeyinka | Hybrid Vehicles | Best Researcher Award

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Mr. Adekanmi Adeyinka | Hybrid Vehicles | Best Researcher Award

Research Associate | Auburn University | United States

Mr. Adekanmi Miracle Adeyinka is an accomplished researcher, engineer, and educator with a distinguished background in mechanical and energy systems engineering, renewable energy technologies, and sustainable innovation. His professional experience spans academia, industry, and entrepreneurship, combining technical expertise with leadership in renewable energy advocacy and implementation. As Chief Executive Officer of Solar Pride Ltd., he spearheaded transformative projects, including the development of a 10-year renewable energy roadmap for a telecommunications firm, policy advocacy for sustainable energy regulations, and the establishment of the Solar Pride Academy to train young engineers in solar energy technologies. His earlier role as an Energy Consultant at T9 Embedded Systems Laboratory involved leading energy audits, integrating smart grid solutions, and implementing solar-wind hybrid systems that enhanced energy efficiency across industries. In academia, Adeyinka served as Lecturer II at the Federal University of Technology, Akure, where he redesigned the mechanical engineering curriculum and mentored research projects in sustainable energy applications. Currently, as a Graduate Teaching and Research Assistant at Auburn University, his research focuses on thermal management systems for lithium-ion batteries, improving battery performance, safety, and efficiency—work that has led to multiple high-impact publications and conference presentations. His research interests include battery thermal modeling, renewable energy integration, hybrid power systems, sustainable manufacturing, and energy policy development. Adeyinka’s research skills encompass data analysis, modeling, experimental design, energy systems optimization, and climate risk assessment, with proficiency in tools such as MATLAB, COMSOL, ANSYS, Python, and Power BI. His excellence has been recognized through several awards, including the 2024 SAE Doctoral Engineering Scholarship, Commonwealth Scholarship, and Walt Woltosz Fellowship. He is an active member of professional bodies such as ASME, IEEE, COREN, and SAE International. Adeyinka continues to advance the frontiers of clean energy innovation, with a deep commitment to sustainability, academic excellence, and technological advancement. He has achieved 65 Citations,  5 Documents, 3 h-index.

Profiles:  Google Scholar  | ORCID  |  Scopus

Featured Publications 

1. Adeyinka, A. M., Esan, O. C., Ijaola, A. O., & Farayibi, P. K. (2024). Advancements in hybrid energy storage systems for enhancing renewable energy-to-grid integration. Sustainable Energy Research, 11(1), 26.
Citations: 99

2. Adediji, Y. B., Adeyinka, A. M., Yahya, D. I., & Mbelu, O. V. (2023). A review of energy storage applications of lead-free BaTiO₃-based dielectric ceramic capacitors. Energy, Ecology and Environment, 8(5), 401–419.
Citations: 63

3. Adeyinka, A. M., Mbelu, O. V., Adediji, Y. B., & Yahya, D. I. (2023). A review of current trends in thin film solar cell technologies. International Journal of Energy and Power Engineering, 17(1), 1–10.
Citations: 54

4. Osibodu, S. J., Adeyinka, A. M., & Mbelu, O. V. (2024). Phase change material integration in concrete for thermal energy storage: Techniques and applications in sustainable building. Sustainable Energy Research, 11(1), 45.
Citations: 23

5. Ijaola, A. O., Akamo, D. O., Adekanmi, A. M., Saberi, Q., Koken, D., & Asmatulu, E. (2022). Superhydrophobic and self-cleaning electrospun microfibers from recycled styrofoam. Results in Surfaces and Interfaces, 9, 100086.
Citations: 19

Dr. Adekanmi Adeyinka’s research advances the frontiers of clean energy storage and sustainable materials, bridging gaps between renewable energy generation and grid reliability. His pioneering studies on hybrid storage systems, solar technologies, and eco-friendly materials contribute to reducing global carbon footprints and enhancing energy resilience. Through interdisciplinary innovation, his work empowers a transition toward a more sustainable, efficient, and circular energy economy worldwide.

Mohammad Anis | Transportation Engineering | Best Researcher Award

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Mr. Mohammad Anis | Transportation Engineering | Best Researcher Award

PhD Student | Texas A&M University| United States

Mr. Mohammad Anis is a dedicated Ph.D. candidate in Civil and Environmental Engineering at Texas A&M University, specializing in traffic safety, autonomous vehicle safety, crash risk modeling, pedestrian safety, and digital twin applications. He previously earned an M.S. in Civil Engineering from the University of Texas Rio Grande Valley (2021), where he conducted pioneering research on electrically heated rigid pavements, and a B.S. in Civil Engineering from Dhaka University of Engineering & Technology, Bangladesh (2018). With over four years of research experience, he has worked extensively on federally and state-funded projects with agencies such as FHWA, TxDOT, NCHRP, FMCSA, and ODOT, contributing to crash prediction models, pedestrian safety analysis, driver distraction studies, and systemic roadway design improvements. His dissertation integrates physics-informed near-miss data with hierarchical Bayesian frameworks for real-time crash occurrence risk estimation, pushing the boundaries of data-driven traffic safety planning. His professional experience includes roles as a doctoral researcher at Texas A&M University, a graduate research assistant at the Texas A&M Transportation Institute, and a graduate teaching assistant at both Texas A&M University and UTRGV, where he mentored students in transportation engineering and civil materials. His research interests lie in real-time safety modeling, AI and machine learning applications in transportation, spatiotemporal crash risk prediction, and sustainable roadway infrastructure. He is skilled in programming (Python, R, MATLAB), statistical modeling (MCMC, machine learning, time-series analysis), traffic simulation tools (SUMO, VISSIM, CARLA), and GIS platforms (ArcGIS, QGIS). He has published widely in high-impact journals such as Accident Analysis & Prevention and Transportation Research Record, along with multiple IEEE and Scopus-indexed conferences. Among his many accolades are the Keese-Wootan Transportation Fellowship (Top 5%), Zachry Excellence Fellowship, Terracon Foundation Scholarship, and Graduate Student Travel Awards. With a strong record of publications, collaborations, and peer-review service, Mr. Anis demonstrates outstanding potential to lead future research in traffic safety and intelligent mobility systems. He has achieved 21 citations across 18 documents, with 8 publications and an h-index of 2.

Profiles:  Scopus | ORCID

Featured Publications

Anis, M., Geedipally, S. R., & Lord, D. (2025). Pedestrian crash causation analysis near bus stops: Insights from random parameters Negative Binomial–Lindley model. Accident Analysis & Prevention, 220, 108137.

Zhang, H., Li, S., Li, Z., Anis, M., Lord, D., & Zhou, Y. (2025). Why anticipatory sensing matters in commercial ACC systems under cut-in scenarios: A perspective from stochastic safety analysis. Accident Analysis & Prevention, 218, 108064

Anis, M., Li, S., Geedipally, S. R., Zhou, Y., & Lord, D. (2025). Real-time risk estimation for active road safety: Leveraging Waymo AV sensor data with hierarchical Bayesian extreme value models. Accident Analysis & Prevention, 211, 107880.

Abdel-Raheem, M., & Anis, M. (2025). Toward sustainability: A new construction method for electrically heated rigid pavement systems. Transportation Research Record: Journal of the Transportation Research Board, 2679(3), 281–303.

Anis, M., & Abdel-Raheem, M. (2024). A review of electrically conductive cement concrete pavement for sustainable snow-removal and deicing: Road safety in cold regions. Transportation Research Record: Journal of the Transportation Research Board, 2678(9), 50–71.