Ling Peng | World Electric Vehicle | Best Researcher Award

Assoc. Prof. Dr. Ling Peng | World Electric Vehicle | Best Researcher Award

Associate Professor at Hunan Normal University, China

Ling Peng is a Ph.D. candidate specializing in the Philosophy of Science and Technology at Hunan Normal University, Changsha, China. She is deeply engaged in the analysis of emerging technologies, with a particular focus on the acceptance of autonomous vehicles and the technological development trends in electric vehicle battery management systems. Her research integrates both theoretical and empirical methods, with an emphasis on understanding how technology is perceived and adopted in different socio-cultural contexts. Throughout her academic career, Ling has developed a strong foundation in data analysis, statistical modeling, and applied technology, which she uses to explore and address critical issues in the fields of transportation and sustainable energy.

Profile:

Scopus

Education:

Ling Peng is currently pursuing a Ph.D. in the Philosophy of Science and Technology at Hunan Normal University. Her academic journey is centered around the study of technological advancements, particularly in the context of societal acceptance and the innovation process. She is expected to complete her degree by 2028. Throughout her educational trajectory, Ling has honed her skills in research methodologies, including the use of Structural Equation Modeling (SEM) and statistical software such as SPSS, R, and Python. She has also gained a solid foundation in qualitative and quantitative research methods, which have been essential to her understanding of the complex relationships between technology and society.

Experience:

Ling’s academic research spans multiple projects and topics, with a primary focus on understanding the factors influencing public acceptance of autonomous vehicles (AVs). Her most recent project, titled Autonomous Vehicle Acceptance in China: TAM-Based Comparison of Civilian and Military Contexts, involves a comparative analysis of civilian and military acceptance of AVs in China. The study uses the Technology Acceptance Model (TAM) with an extension on perceived risk, analyzing a large sample of responses to identify critical factors influencing adoption. She has also worked extensively on the technological evaluation of electric vehicle battery management systems (BMS), combining methods like the Analytic Hierarchy Process (AHP) and entropy weight models to assess patents in the BMS sector.

Research Interests:

Ling’s primary research interests lie in the intersection of technology, society, and policy. She is particularly interested in how emerging technologies, such as autonomous vehicles and electric vehicle battery management systems, are perceived by the public and how these perceptions affect their adoption and integration into daily life. Her research focuses on two key areas: the social acceptance of new technologies and the market-driven innovations in sustainable energy. Ling is also interested in applying advanced statistical tools to explore how different factors, such as perceived usefulness, ease of use, and satisfaction, influence technological adoption. Her work is contributing to the broader field of technology acceptance, with a specific focus on China.

Awards:

Ling Peng has been recognized for her academic excellence with several honors, including the prestigious National Scholarship in November 2024. This award is granted to top-performing students across China and is a reflection of Ling’s dedication to her academic and research endeavors. Her work in autonomous vehicle acceptance and electric vehicle battery management systems has garnered significant attention in her field, further highlighting her contributions to technological research and innovation.

Publications:

Ling has contributed to several impactful publications in top academic journals. These works reflect her research in technology acceptance and the innovation of electric vehicle systems. Notable publications include:

  1. Autonomous Vehicle Acceptance in China: TAM-Based Comparison of Civilian and Military Contexts, published in Wevj in December 2024 (DOI: 10.3390/wevj16010002). This study explores the differences in acceptance between civilian and military contexts, offering insights into key drivers of technology adoption. Cited by several articles in the field of technology acceptance and autonomous vehicles.

  2. Patent Analysis of the Electric Vehicle Battery Management Systems Based on the AHP and Entropy Weight Method, published in Wevj in April 2025 (DOI: 10.3390/wevj16040218). This article presents a detailed analysis of patents in the electric vehicle industry, focusing on the global distribution and technological advancements in battery management systems. Cited by numerous publications on patent analysis and energy technology innovation.

Conclusion:

Ling Peng is a promising scholar in the fields of technology acceptance and sustainable energy. Through her research on autonomous vehicles and electric vehicle battery management systems, she is making significant contributions to understanding how new technologies are received by society and the implications for future technological development. Her research combines rigorous empirical methods with theoretical insights, helping to bridge the gap between technological innovation and societal readiness. With several high-impact publications already to her name, Ling is poised to continue making valuable contributions to the fields of philosophy of science and technology, positioning herself as a leading figure in these important areas of study.

Seyhan Ucar | Connected Vehicle | Best Researcher Award

Dr. Seyhan Ucar | Connected Vehicle | Best Researcher Award

Dr. Seyhan Ucar | Connected Vehicle – Associate Professor at InfoTech Labs, Toyota Motor North America R&D

Dr. Seyhan Ucar is a pioneering researcher in the field of intelligent transportation systems and connected vehicle technologies, with a focus on vehicular networking, communication protocols, and human-machine interaction. With over 10 years of professional experience, Dr. Ucar has led groundbreaking projects that bridge the gap between advanced research and real-world applications. His expertise encompasses developing connected vehicle services for future transportation technologies and improving vehicular communication and safety systems. Dr. Ucar’s work has earned him multiple accolades, and he has been recognized as a finalist for prestigious awards, such as the IEEE Intelligent Transportation Society Young Researcher/Engineer Award.

Professional Profile

Google Scholar

Education

Dr. Ucar holds a Ph.D. in Computer Science and Engineering from Koç University in Istanbul, Turkey, where he explored visible light communication and its applications in secure vehicular networks. His thesis, titled “Visible Light Communication Assisted Secure/Efficient Architecture for Platoon,” reflects his commitment to exploring innovative solutions for enhancing vehicular communication. He also earned a Master’s degree in the same field, where he researched multi-hop cluster architectures for vehicular ad hoc networks. His academic foundation is supported by a Bachelor’s degree in Computer Science and Engineering from Izmir Institute of Technology.

Experience

Dr. Ucar’s professional journey spans both academia and industry, demonstrating his versatility as a researcher and a leader. He currently serves as a Principal Researcher at InfoTech Labs, Toyota Motor North America R&D, where he oversees several research projects, including Vehicular Micro Clouds, Anomaly Driving Detection, and the development of human-machine interaction models. His role involves managing teams of engineers, researchers, and collaborating with university partners. Prior to this, Dr. Ucar was a researcher at Toyota InfoTechnology Center, U.S.A., and a postdoctoral researcher at Koç University. His experience also includes founding and leading a start-up, Mobifique LTD, which developed award-winning mobile applications for fitness tracking.

Research Interests

Dr. Ucar’s research interests focus on connected vehicle technologies, intelligent transportation systems, vehicular networking, and communication protocols. His work includes the development of innovative solutions for safe driving, real-time anomaly detection, and improving human factors in vehicle interactions. Dr. Ucar has pioneered research into vehicular micro clouds and edge-assisted driving behavior detection, with applications ranging from driver safety to vehicle-to-vehicle communication. His focus on practical solutions for real-time deployment distinguishes his approach from purely theoretical studies in the field.

Awards

Dr. Ucar’s work has been widely recognized in the academic and professional communities. He has received several Best Paper, Best Demo, Best Poster, and Best Mobile Application awards throughout his career. In 2022, he was awarded the ITS World Congress Best Scientific Paper Award and the IEEE Vehicular Networking Conference Best Demo Award. His accomplishments have earned him recognition as a finalist for the IEEE Intelligent Transportation Society Young Researcher/Engineer Award. Additionally, Dr. Ucar has been promoted to Editor-At-Large for the IEEE Open Journal of the Communications Society, a testament to his contributions to the field of vehicular, aerial, and satellite communications.

Publications

“Human Factor Study: Understand Driver Behavior in Response to Unsafe Follower Vehicles” (ITS World Congress, 2025)
“Aggressive Driving Detection: From Simulation and Data Analysis to Proof-of-Concept Trials” (IEEE Vehicular Networking Conference, 2025)
“Tailgating Behavior Detection On Rear Vehicles” (IEEE International Conference on Intelligent Transportation Systems, 2023) 🚗
“Field Experiments: Rear Vehicle Behavior Awareness to Avoid Rear-End Collisions” (IEEE International Conference on Sensing, Communication, and Networking, 2023) 🛣️
“Proactive Management of Drivers When Impacted by Aggressive Driving” (IEEE Vehicular Networking Conference, 2025) 🚓

Conclusion

Dr. Seyhan Ucar is an exceptional researcher whose work continues to shape the future of connected vehicles and intelligent transportation systems. His leadership in both academic and industrial research, combined with his numerous awards and publications, positions him as a strong contender for the Best Researcher Award. Dr. Ucar’s ability to bridge theoretical research with practical applications, as demonstrated in his real-time field trials and patented technologies, makes his contributions invaluable to the advancement of automotive and transportation technologies. He remains a thought leader in his field, with a commitment to safety, innovation, and human-centered design in vehicular technology.

Mizbah Ahmed Sresto | Environmental Science, Geography and Urban Planning | Best Researcher Award

Mr.Mizbah Ahmed Sresto | Environmental Science, Geography and Urban Planning | Best Researcher Award

Student Khulna University of Engineering & Technology Bangladesh

Mizbah Ahmed Sresto specializes in environmental research using geospatial technology and machine learning techniques. He holds a Bachelor’s degree in Urban and Regional Planning from Khulna University of Engineering and Technology (KUET), Bangladesh. Mizbah has professional experience as a GIS Analyst and Junior Urban Planner, focusing on GIS data analysis and urban planning projects. His research interests include land use transformation, hazard mapping, and natural resource management. Mizbah has received awards for his academic achievements and has published in peer-reviewed journals on topics related to remote sensing and environmental sustainability.

Profile

Google Scholar

👨‍🎓 Education

Mizbah Ahmed Sresto holds a Bachelor’s degree in Urban and Regional Planning from Khulna University of Engineering and Technology (KUET), Bangladesh, with a CGPA of 3.12 out of 4.00.

🏢 Professional Experience

As a GIS Analyst at Desh Upodesh Limited (DUL), Mizbah specializes in GIS data preparation and management, utilizing geospatial tools for road inventory and condition surveys.

🔬 Research Interests

Mizbah focuses on environmental research using geospatial technology and machine learning. His expertise includes land use transformation, hazard mapping, and natural resource management.

🏆 Awards

Mizbah has received the Dean’s Award from KUET Civil Faculty and the Scopus Index Author Award for outstanding research contributions.

📚 Publications

  • Sresto, M. A., et al. (2022). A GIS and remote sensing approach for measuring summer-winter variation of land use and land cover indices and surface temperature in Dhaka district, Bangladesh. Heliyon. Article Link
  • Sresto, M. A., et al. (2022). Impact of COVID-19 Lockdown on Vegetation Indices and Heat Island Effect: A Remote Sensing Study of Dhaka City, Bangladesh. Sustainability. Article Link
  • Roy, T. K., Siddika, S., & Sresto, M.A. (2022). Assessment of Urban Resiliency Concerning Disaster Risk: A Review on Multi-Dimensional Approaches. Journal of Engineering Science. Article Link
  • Sresto, M. A., et al. (2022). Groundwater vulnerability assessment in Khulna district of Bangladesh by integrating fuzzy algorithm and DRASTIC (DRASTIC-L) model. Modelling Earth Syst. and Environment. Article Link
  • Sresto, M. A., et al. (2021). Application of fuzzy analytic hierarchy process and geospatial technology to identify groundwater potential zones in north-west region of Bangladesh. Environmental Challenges. Article Link
  • Haque, M., Siddika, S., Sresto, M.A. et al. (2021). Geo-spatial Analysis for Flash Flood Susceptibility Mapping in the North-East Haor (Wetland) Region in Bangladesh. Earth System and Environment. Article Link