Tobias Stoll | Environmental Impact of Vehicles | R&D Excellence Award

Dr. Tobias Stoll | Environmental Impact of Vehicles | R&D Excellence Award

Projektleiter  |  FKFS  |  Germany

Dr. Tobias Stoll is an accomplished researcher and engineer with a strong focus on vehicle and powertrain technologies, combining applied research with advanced technological evaluation. His professional experience spans leadership roles as project lead and project engineer at leading automotive research institutes, where he has contributed to software development, computational analysis, and system-level technology assessment. His research interests center on vehicle propulsion systems, automotive engineering methodologies, and data-driven evaluation of emerging technologies. He possesses strong research skills in simulation, calculation methods, and scientific software development. His work has been recognized with prestigious honors, including a Best Paper Award and the Kamm-Jante-Medaille, reflecting both academic excellence and industry relevance. Overall, his profile demonstrates impactful contributions to automotive research and innovation. He has achieved 2 Citations, 6 Documents,1h-index.

 

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6
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Featured Publications

Hüseyinturan Arat | Hydrogen Mobility | Research Excellence Award

Prof. Dr. Hüseyinturan Arat | Hydrogen Mobility | Research Excellence Award

Professor  |  Sinop University  |  Turkey

Prof. Dr. Hüseyin Turan Arat is a distinguished academic and researcher with a strong focus on advanced automotive and energy systems. His summary reflects sustained contributions to mechanical and automotive engineering through high-impact research and academic leadership. His education has provided a solid foundation in mechanical and automotive engineering, supporting interdisciplinary innovation. Professional experience includes progressive academic roles culminating in full professorship, alongside leadership and advisory responsibilities in national and international initiatives. Research interests center on hybrid and electric vehicles, hydrogen and alternative fuels, fuel cell technologies, thermodynamics, and sustainable propulsion systems. His research skills include experimental engine analysis, energy–exergy assessment, system modeling, and vehicle simulation. Awards and honors recognize excellence in hydrogen energy research, highly cited publications, and global scientific impact. In conclusion, his work significantly advances clean transportation and energy technologies with strong academic and societal relevance. He has achieved 1081 Citations, 25 Documents,14 h -index.

 

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Top 5 Publications

Seungchul Ryu | Automotive Artificial Intelligence | Research Excellence Award

Dr. Seungchul Ryu | Automotive Artificial Intelligence | Research Excellence Award

Senior  Researcher | Forvia  | Canada

Dr. Seungchul Ryu is a senior researcher with extensive expertise in automotive-focused computer vision, image processing, and machine learning, delivering impactful innovations that bridge academic research and industrial deployment. His professional experience spans leading roles across academia and global mobility technology companies, contributing to intelligent cockpit systems, advanced driver-assistance solutions, and robust perception under extreme conditions. His research interests center on vision-aware safety systems, human–machine interaction, and applied AI for real-world automotive environments. He demonstrates strong research skills in algorithm development, system integration, patent generation, and large-scale project leadership. His work has earned industry recognition, innovation awards, and editorial and technical committee roles, reflecting sustained scientific influence and leadership. Overall, his contributions continue to shape next-generation intelligent mobility through high-impact research and innovation. He has achieved 344 Citations 33 Documents 7h-index.

 

Citation Metrics (Scopus)

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344
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33
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Featured Publications


No-Reference Quality Assessment for Stereoscopic Images Based on Binocular Quality Perception

– IEEE Transactions on Circuits and Systems for Video Technology, 2013

DASC: Dense Adaptive Self-Correlation Descriptor for Multi-Modal and Multi-Spectral Correspondence

– IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015


Stereoscopic Image Quality Metric Based on Binocular Perception Model

– IEEE International Conference on Image Processing (ICIP), 2012

Depth Perception and Motion Cue Based 3D Video Quality Assessment

– IEEE International Symposium on Broadband Multimedia Systems, 2012

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.

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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.