Samarendra Pratap Singh | EV Charging Infrastructure | Best Researcher Award

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Assist. Prof. Dr. Samarendra Pratap Singh | EV Charging Infrastructure | Best Researcher Award

Assistant Professor | IET DrRMLAU Ayodhya UP | India

Dr. Samarendra Pratap Singh, IEEE Professional Member and EXECOM Member (UP Section), is presently serving as an Assistant Professor in the Department of Electrical Engineering at the Institute of Engineering and Technology, Dr. Rammanohar Lohia Avadh University, Ayodhya, Uttar Pradesh, India. He holds a Ph.D. in Electrical Engineering (Power Systems) from MMMUT Gorakhpur, completed under the guidance of Prof. S.N. Singh (IIT Kanpur) on the topic “Optimal Allocation of EV Charging Station and Peak Energy Demand Reduction Using Coordinated Real-Time Scheduling.” He earned his M.Tech. in Electrical Power Systems from NITTTR Bhopal and B.Tech. in Electrical Engineering from Kanpur Institute of Technology, Kanpur, With over a decade of academic and research experience, Dr. Singh has served in reputed institutions such as REC Azamgarh, REC Banda, and Government Polytechnic Mau, before joining IET Ayodhya . His research interests include Electric Vehicles, Power System Restructuring, Renewable Energy Integration, Smart Grids, Distributed Generation, HVDC and FACTS technologies, and AI/ML applications in power systems. His research skills encompass simulation-based optimization, real-time energy scheduling, EV charging coordination, and hybrid renewable system design. He has authored 10 refereed journal papers, presented papers at international conferences including IEEE and Springer venues, and delivered multiple invited lectures at national programs. Dr. Singh has successfully completed and leads projects funded by INAE and CST-UP, focusing on EV charging scheduling, energy harvesting, and hybrid turbine development. His excellence has been recognized through several awards, including the Commendable Research Award by MMMUT Gorakhpur and the Quality Research Paper Award by Dr. RMLAU Ayodhya. Dedicated to advancing sustainable power systems and mentoring young researchers, Dr. Singh continues to contribute to academia and innovation with remarkable enthusiasm. He has achieved  5 Citations by , 4 Documents, 1 h-index.

Profiles:  Google scholar | Scopus | ORCID

Featured Publications

  1. Singh, S. P., Singh, P. P., Singh, S. N., & Tiwari, P. (2021). State of charge and health estimation of batteries for electric vehicles applications: Key issues and challenges. Global Energy Interconnection, 4(2), 145–157. https://doi.org/ (ISSN: 2096-5117). Cited by 24.

  2. Thankachan, J., & Singh, S. P. (2017). Solar powered high performance switched reluctance motor for EV applications. In Proceedings of the 2017 IEEE 15th International Conference on Industrial Informatics (INDIN). IEEE. Cited by 6.

  3. Thankachan, J., & Singh, S. P. (2020). A reduced switch multiport converter drive for solar-assisted SRM EV with integrated driving and charging features. In 2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy (PESGRE). IEEE. Cited by 5.

  4. Pamshetti, V. B., Thakur, A. K., Singh, S., & Singh, S. P. (2020). Coordinated operation of battery energy storage and VVC devices in high-PV penetrated distribution network. In 2020 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES). IEEE. Cited by 4.

  5. Suresh, D., Kumar, T. J., & Singh, S. P. (2020). Grid interconnection of renewable energy source with T-type inverter based DSTATCOM. In Proceedings of the 2020 International Conference on Computer Communication and Informatics (ICCCI). IEEE. Cited by 4.

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 29 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

 

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 12 citations, 9 published papers, and an h-index of 3 (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 30 citations across 27 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.

Kristaq Hazizi | Automotive Engineering | Best Researcher Award

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Dr. Kristaq Hazizi | Automotive Engineering | Best Researcher Award

Lecturer in Mechanical and Automotive Engineering  | Coventry University | United Kingdom

Dr. Kristaq Hazizi is a Lecturer in Mechanical and Automotive Engineering at Coventry University, with over 15 years of combined academic and industry experience dedicated to advancing sustainable automotive technologies. He earned his Ph.D. in Automotive Engineering from Coventry University in 2013, where his doctoral research centered on advanced engine simulation and alternative fuels to enhance efficiency and reduce emissions. Professionally, Dr. Hazizi has contributed to both academia and industry by leading research projects on engine modeling, combustion optimization, and the integration of renewable fuels into modern powertrain systems. His research interests lie in engine simulation, hybrid propulsion systems, and low-carbon transportation, areas that align with global efforts to achieve cleaner and more efficient mobility solutions. His research skills include advanced numerical modeling, computational fluid dynamics (CFD), thermodynamic analysis, and applied experimental testing for engine performance evaluation. Dr. Hazizi has successfully secured competitive research funding and has collaborated with international teams to promote sustainable energy solutions. His publications appear in reputed IEEE and Scopus-indexed journals and conference proceedings, reflecting a growing influence in the automotive engineering field. In addition to research, he is an active mentor to students, guiding projects and theses in sustainable mobility, and has contributed to professional communities as a member of IEEE and SAE. Dr. Hazizi has received recognition for his academic excellence and contributions to advancing green automotive technologies, including institutional awards for research innovation and teaching. His dedication to bridging research with practical applications demonstrates his commitment to both scientific advancement and societal impact. With a vision to expand international collaborations and publish in more high-impact journals, Dr. Hazizi continues to shape the future of sustainable transportation research, with 17 citations, 4 published documents, and an h-index of 2.

Profiles:  Scopus | ORCID | Google Scholar

Featured Publications

Hazizi, K., & Ghahleeh, M. (2023). Design and analysis of a typical vertical pressure vessel using ASME code and FEA technique. Infrastructures, 7(3), 78. Cited by: 22

Hazizi, K., Ramezanpour, A., Costall, A., & Asadi, M. (2019). Numerical analysis of a turbocharger compressor. E3S Web of Conferences, 95, 04008. Cited by: 6

Gophane, I., Dharashivkar, N., Mulik, P., & Patil, P. (2024). Analysis of pressure vessel. Indian Journal of Science and Technology, 17(12), 1148–1158. Cited by: 2

Hazizi, K., Ghahleeh, M., & Rasool, S. (2023). Analytical and numerical investigation of fatigue life in rectangular plates with opposite semicircular edge single notches. Applied Engineering, 4(3), 948–973. Cited by: 1

Hazizi, K., Ghahleeh, M., & Rasool, S. (2023). Analytical and numerical investigation of fatigue life in rectangular plates with opposite semicircular edge single notches. Preprints, 2023080788. Cited by: 1