Ding Peng | Autonomous Vehicles | Best Researcher Award

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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

 

Zhaoting Zhang | Environmental Impact of Vehicles | Green Transport Innovation Award

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Dr. Zhaoting Zhang | Environmental Impact of Vehicles | Green Transport Innovation Award

Research scholar| Xuzhou Administration Institute | China

Dr. Zhaoting Zhang is a distinguished scholar and Ph.D. candidate in Administrative Management at the School of Public Administration, China University of Mining and Technology . She holds a Master’s degree in Library and Information Science from Guizhou University of Finance and Economics  and a Bachelor’s degree in Financial Management from Jiangsu Normal University (2018). Her professional experience includes her current role at the Xuzhou Administrative Institute, where she contributes to public governance research and administrative innovation. Dr. Zhang’s academic expertise spans digital transformation of public health services, administrative governance, rural development, and sustainable policy implementation. She has demonstrated strong research competence through publications in top-tier SSCI and CSSCI journals, including Finance Research Letters (Q1, IF 10.4 & 7.4) and Frontiers in Public Health, as well as national-level projects funded by the National Social Science Fund on topics such as smart social governance and AI ethical risk prevention. Her research skills include data-driven policy analysis, quantitative and qualitative research design, field investigation, and interdisciplinary synthesis across public management, information systems, and sustainability governance. Recognized for her scholarly excellence, she has received multiple honors including the Outstanding Paper Prize at the Doctoral Forum on Political Science and Public Administration and an Academic Excellence Award during her master’s studies. Dr. Zhang also authored a monograph titled Grassroots Social Development Innovation and Construction , reflecting her commitment to theory-driven and practice-oriented research. Through her ongoing work on digital literacy, green transition policies, and multi-level governance systems, she continues to advance research that bridges public administration theory and real-world policy challenges. With an expanding global research profile and contributions to impactful interdisciplinary projects, Dr. Zhang exemplifies academic innovation, public value, and leadership in her field. Dr. Zhaoting Zhang has received 83 citations , has published 5 scholarly works, and holds an h-index of 3.

Profiles:  Scopus 

Featured Publications

Zhang, Z. (2025). The impact of China’s green emission policies on non-road mobile construction machinery. Natural Resources Forum, 49(2), 2111-2123.

Tong Wang | Automotive Materials | Young Scientist Award

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Assoc. Prof. Dr. Tong Wang | Automotive Materials | Young Scientist Award

Deputy director| Changan university | China


Tong Wang is an accomplished scholar and innovator in the field of automotive and vehicle engineering, currently serving as an Associate Professor, Doctoral (International) and Master’s Supervisor at the School of Automotive Engineering, China. He holds a Ph.D. in Engineering, specializing in intelligent electric vehicle design and lightweight smart design technologies, with a strong academic background rooted in advanced mechanical systems and sustainable mobility solutions. Throughout his professional career, Dr. Wang has built extensive expertise through his active participation in over 20 research projects, including both national and international collaborations, contributing significantly to the advancement of intelligent, low-carbon, and high-efficiency vehicle systems. His professional experience extends beyond academia into technology innovation networks, serving as a Young Expert of the Lightweight Technology Innovation Strategic Alliance under the China Society of Automotive Engineers, a Member of the Flying Car Branch of the Chinese Aeronautical Society, and an active participant in the Shaanxi Automotive Engineering Society’s Youth Working Committee and Low-Carbon Environmental Protection Branch. Dr. Wang’s research interests encompass intelligent electric vehicle development, structural lightweighting, computational vehicle design, and sustainable transportation systems, with research skills spanning computer-aided engineering (CAE), multi-objective optimization, material simulation, and dynamic modeling. He has authored more than 20 peer-reviewed publications in Scopus- and IEEE-indexed journals, delivered over 10 conference presentations, and holds over 10 patents, reflecting a robust integration of theory and application. Among his recognitions, Dr. Wang has been honored as a Jiangsu Province Double Innovation Talent, highlighting his leadership in academic innovation and practical engineering. Overall, his consistent contributions to research, mentorship, and technological development underscore his strong potential to lead the next generation of sustainable automotive innovation and research excellence in China and beyond. Dr. Wang Tong has 11 citations, 9 published papers, and an h-index of 2 (view h-index button is disabled in preview mode).

Profiles:  Scopus | ORCID  | Research Gate

Featured Publications

Wang, T., Ma, Y., & Wang, S. (2024). Intelligent prediction method for thermal properties of automotive basalt fiber composite materials based on fitting normalization function. Materials Today Communications. SSRN.

 

 

 

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.