Ayşe Tuğba Yapıcı | Electric Vehicles | Best Research Article Award

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Ms. Ayşe Tuğba Yapıcı | Electric Vehicles | Best Research Article Award

Doctoral Researcher  |  Kocaeli University  |  Turkey

Ms. Ayşe Tuğba Yapıcı is a dedicated doctoral researcher whose academic journey is strongly rooted in cutting-edge technologies for electric vehicles, smart energy systems, and intelligent power electronics. She has cultivated significant professional experience through her active involvement in research addressing real-world problems such as electric vehicle charging optimization, grid-integrated charging infrastructures, and advanced modeling of power converter systems. Throughout her career, she has contributed to impactful scientific studies focusing on induction heating systems, charging time prediction using deep learning, and data-driven forecasting on electric vehicle adoption and infrastructure planning. Her research interests include electric vehicle technologies, charging station design, renewable-integrated smart grids, artificial intelligence–based energy forecasting, machine learning and deep learning applications in power systems, and IoT-enhanced smart mobility frameworks. She possesses strong research skills in Python-based deep learning toolkits, MATLAB/Simulink, DigSilent PowerFactory modeling, statistical evaluation metrics, time-series forecasting, optimization algorithms, and performance analysis of intelligent systems. She has published multiple peer-reviewed articles in international SCI/Scopus-indexed journals, delivering innovative research outcomes that offer comprehensive and practical solutions for the sustainable development of electric transportation. Her research achievements include proposing an intelligent deep learning–based framework for EV charging time prediction, integrating spatial–temporal mobility parameters, and enhancing operational efficiency for fast-charging infrastructures. Her work stands out for its interdisciplinary approach and technological significance, supporting the transition toward cleaner mobility, optimized charging networks, and smart energy management. In addition to research excellence, she continues to contribute to academic and scientific communities through conference participation, collaborations, and knowledge dissemination. She aims to advance secure, intelligent, and scalable charging automation systems that support next-generation autonomous electric mobility. Her long-term vision is to shape energy-efficient transportation ecosystems, reduce environmental impacts, and contribute to the global sustainability agenda through innovation and scientific leadership. She has achieved  3 Citations , 2 Documents,  1 h-index.

Featured Publications

Yapıcı, A. T., & Abut, N. (2025, November 23). An intelligent and secure IoT-based framework for predicting charging and travel duration in autonomous electric taxi systems. Applied Sciences.

Yapıcı, A. T., Abut, N., & Yıldırım, A. (2025, October 27). Estimation of future number of electric vehicles and charging stations: Analysis of Sakarya Province with LSTM, GRU and multiple linear regression approaches. Applied Sciences.

Yapıcı, A. T., & Abut, N. (2025, August 21). Geleceğe yönelik elektrikli araç ve şarj istasyonu sayılarının LSTM ve GRU derin öğrenme yöntemleri kullanılarak tahmin edilmesi: Kocaeli ili örneği. Politeknik Dergisi.

Yapıcı, A. T., Abut, N., & Erfidan, T. (2025, April 11). Comparing the effectiveness of deep learning approaches for charging time prediction in electric vehicles: Kocaeli example. Energies.

Yapıcı, A. T., & Abut, N. (2024, September 15). Elektrikli araç şarj istasyonu konum tasarımında, Digsilent yazılımı kullanılarak Kocaeli Üniversitesi Umuttepe Kampüsü için örnek uygulama. Black Sea Journal of Engineering and Science.

Ayşe Tuğba Yapıcı’s research advances intelligent and sustainable electric mobility by integrating deep learning, smart grid technologies, and IoT-based predictive frameworks to optimize charging infrastructure and energy management. Her work supports the transition toward autonomous electric transportation, reducing environmental impacts, improving urban mobility planning, and contributing to global innovation in smart energy systems. She envisions scalable, reliable, and human-centered smart mobility ecosystems that accelerate the adoption of clean transportation worldwide.

Xiaokai Chen | Automobile Engineering | Editorial Board Member

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Assoc. Prof. Dr. Xiaokai Chen | Automobile Engineering | Editorial Board Member

Research Team Leader | Kunming University of Science and Technology | China

Assoc. Prof. Dr. Xiaokai Chen is an accomplished associate professor whose work centers on environmental health and safety in automobile cabins, contributing significantly to advancements in indoor air quality control, vehicle cabin pollution assessment, and the development of intelligent purification and safety systems for transportation environments. His professional experience includes long-term research and teaching in heating, ventilation, and air-conditioning (HVAC) engineering, where he has led multiple scientific projects, secured patents on innovative air-purification and disinfection technologies, and produced influential publications spanning air-pollution exposure, vehicle-cabin ventilation optimization, and safety-oriented engineering design. His research interests focus on vehicular environmental safety, pollutant behavior in transportation microenvironments, ventilation and purification system design, and risk assessment models for airborne contaminants affecting drivers and passengers. He demonstrates strong research skills in experimental testing, HVAC system design, pollutant detection and modeling, vehicle-cabin environmental analysis, and safety-oriented engineering optimization. His portfolio also showcases achievements such as contributing to monographs and textbooks, advising students who earned competitive academic recognitions, and guiding graduate researchers into industry sectors including construction, rail, quality supervision, and automotive manufacturing. In addition, he has provided extensive academic and social service as a technical expert in automotive research institutions, a member of key engineering societies, a reviewer for high-impact international journals, and an evaluator for national research foundations and academic competitions. His awards and honors reflect his contributions to technology innovation, student mentorship, research excellence, and professional service, reinforcing his reputation as a dedicated scholar promoting healthier and safer vehicular environments. Overall, his work bridges engineering innovation and public well-being, offering impactful solutions to real-world environmental health challenges in modern transportation systems, while sustaining active engagement in academic, industrial, and societal development. He has achieved 514 Citations, 14 Documents, 8 h-index.

Profiles:  Google Scholar  |  Scopus | ORCID

Featured Publications 

1.Feng, L., Xuan, Z., Zhao, H., Bai, Y., Guo, J., Su, C., & Chen, X. (2014). MnO₂ prepared by hydrothermal method and electrochemical performance as anode for lithium-ion battery. Nanoscale Research Letters, 9(1), 290. Citations: 239.

2. Xu, B., Chen, X., & Xiong, J. (2018). Air quality inside motor vehicles’ cabins: A review. Indoor and Built Environment, 27(4), 452–465. Citations: 141.

3. Chen, X., Zhang, G., Zhang, Q., & Chen, H. (2011). Mass concentrations of BTEX inside air environment of buses in Changsha, China. Building and Environment, 46(2), 421–427. Citations: 80.

4. Chen, X., Feng, L., Luo, H., & Cheng, H. (2014). Analyses on influencing factors of airborne VOCs pollution in taxi cabins. Environmental Science and Pollution Research, 21(22), 12868–12882. Citations: 52.

5. Feng, L., Xuan, Z., Bai, Y., Zhao, H., Li, L., Chen, Y., Yang, X., Su, C., Guo, J., et al. (2014). Preparation of octahedral CuO micro/nanocrystals and electrochemical performance as anode for lithium-ion battery. Journal of Alloys and Compounds, 600, 162–167. Citations: 38.

The nominee’s research advances scientific understanding of vehicle-cabin air quality and battery-material performance, addressing critical challenges in public health, environmental protection, and energy storage. His work supports cleaner transportation environments and contributes to the development of safer, more sustainable automotive technologies. Through impactful publications and applied innovation, his research drives progress at the intersection of engineering, society, and global well-being.

 

 

Nashir Umirov | Automobile Awards | Editorial Board Member

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Assoc. Prof. Dr. Nashir Umirov | Automobile Engineering | Editorial Board Member

Associate Professor | Tashkent Institute of Irrigation and Agricultural Mechanization Engineers National Research University | Uzbekistan

Assoc. Prof. Dr. Nashir Umirov is an accomplished engineering researcher and academic leader whose work advances the performance, reliability, and thermodynamic behavior of tractors, automobiles, and grain-processing machinery, with a focus on strengthening agricultural mechanization technologies for modern industry. His professional experience spans extensive teaching, research supervision, and applied engineering work, including several years of scientific and editorial engagement that support the development, evaluation, and dissemination of technical innovations. His research interests center on thermal and dynamic properties of vehicles, efficiency enhancement of automotive systems, and the mechanics of grain-crushing processes in industrial crushers, complemented by strong analytical skills in experimental testing, performance modeling, mechanical system optimization, and technology assessment. He has contributed to more than fifteen notable scientific publications and participated in two important research projects aimed at improving agricultural machine operations and advancing environmentally conscious engineering solutions. His research skills include experimental diagnostics, thermal analysis, vibration and dynamic modeling, mechanical system design, and result interpretation for system improvement. Although he is not affiliated with professional societies, he remains an active contributor to engineering scholarship and a committed mentor to emerging specialists. While awards and honors are not listed, his career reflects sustained professional impact and dedication to advancing engineering science. In conclusion, Nashir Umirov continues to enhance the scientific community through consistent research output, practical innovation, and a strong commitment to the evolution of mechanical engineering within the agricultural sector, reflecting the depth of his expertise and the relevance of his contributions to modern mechanization technologies.He has achieved 34 Citations, 14 Documents, 4 h-index.

Profiles:  Google Scholar  |  Scopus | ORCID

Featured Publications 

Umirov, N., Abdurokhmonov, S., Ganiboyeva, E., & Alimova, Z. (2024). Thermal equilibrium of the tractor and vehicle engines’ cooling systems in agriculture technological processes. BIO Web of Conferences, 105, 05020. (5 citations)

Umirov, N., & Abdurokhmonov, S. (2022). On the de-aeration properties of radiators of the cooling system of engines of cars and tractors. Transportation Research Procedia, 63, 149–153. (5 citations)

Alijanov, D., Abdurokhmonov, S., & Umirov, N. (2020). Methods of regulating the work of units at irrigation pumping stations. IOP Conference Series: Materials Science and Engineering, 883(1), 012117. (5 citations)

Li, A., Sultanov, B., Sharipov, Z., & Umirov, N. (2021). Modelling the process of local application of manure under glass crops. IOP Conference Series: Earth and Environmental Science, 868(1), 012008. (4 citations)

Umirov, N., & Abdurokhmonov, S. (2021). Algorithm for calculating finned plate radiators for the cooling system of automobile and tractor engines. IOP Conference Series: Earth and Environmental Science, 868(1), 012002. (3 citations)

Nashir Umirov’s research strengthens agricultural mechanization by improving the thermal stability, efficiency, and reliability of vehicle and engine cooling systems essential for modern farming. His engineering innovations support sustainable agricultural productivity, reduced energy losses, and enhanced performance of critical agro-industrial machinery. His vision contributes to a future where smarter mechanical systems drive global food security and technological resilience.

Shavkatjon Abdurakhmonov | Automobile Engineering | Editorial Board Member

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Assoc. Prof. Dr. Shavkatjon Abdurakhmonov | Automobile Engineering | Editorial Board Member

Associate Professor | Tashkent Institute of Irrigation and Agricultural Mechanization Engineers National Research University | Uzbekistan

Dr. Abdurakhmanov Shavkatjon Khasanovich is a distinguished Associate Professor and PhD scholar renowned for his significant contributions to the field of agricultural mechanization and thermal dynamics within mechanical engineering. Currently serving at the Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, National Research University, he has built a strong academic and research foundation focused on advancing the efficiency, performance, and sustainability of agricultural and automotive systems. His research interests span the thermal-dynamic properties of tractors and automobiles, as well as the optimization of grain crushing processes in crushers—critical areas that bridge agricultural engineering with energy efficiency and mechanical innovation. Over his academic career, Dr. Abdurakhmanov has actively participated in four major research projects and has contributed to over twenty peer-reviewed publications, demonstrating a robust commitment to applied research and practical engineering solutions. His professional experience includes teaching, mentoring, and conducting experimental studies on machine performance under varying operational conditions, thereby strengthening the technological framework for modern agricultural systems. With two years of editorial and research review experience, he brings analytical precision and scholarly rigor to the scientific community. His research skills encompass thermodynamic analysis, mechanical system design, process modeling, and equipment optimization for agricultural production. Dr. Abdurakhmanov’s dedication to advancing sustainable mechanization technologies has earned him recognition for his academic excellence and his role in driving innovation within Uzbekistan’s agricultural sector. His ongoing work continues to contribute to the modernization of agricultural machinery and the improvement of energy efficiency in mechanized systems, aligning with global goals for sustainable development and technological advancement.He has achieved 68 citations, 22 documents, 5h-index.

Profiles:  Google Scholar  |  Scopus | ORCID

Featured Publications 

Akhmetov, A., Botirov, R., & Abdurokhmonov, S. (2020). Mechanism for changing the rear axle clearance of a universal-tiller tractor. IOP Conference Series: Materials Science and Engineering, 883(1), 012125.

Umirov, N., Abdurokhmonov, S., Ganiboyeva, E., & Alimova, Z. (2024). Thermal equilibrium of the tractor and vehicle engines’ cooling systems in agriculture technological processes. BIO Web of Conferences, 105, 05020.

Umirov, N., & Abdurokhmonov, S. (2022). On the de-aeration properties of radiators of the cooling system of engines of cars and tractors. Transportation Research Procedia, 63, 149–153.

Abdurokhmonov, S., Alijanov, D., & Ismaylov, K. (2020). Forces affecting the grain movement in the working chamber of the rotary crusher. IOP Conference Series: Earth and Environmental Science, 614(1), 012110.

Alijanov, D., Abdurokhmonov, S., & Umirov, N. (2020). Methods of regulating the work of units at irrigation pumping stations. IOP Conference Series: Materials Science and Engineering, 883(1), 012117.

 

Dr. Abdurakhmanov Shavkatjon Khasanovich advances the understanding of thermal and mechanical processes in agricultural and automotive systems, contributing to improved efficiency and sustainability in machinery design. His work bridges engineering innovation with practical agricultural applications, enhancing productivity while reducing environmental impact—supporting global progress toward smarter, energy-efficient mechanization

Bao Xie | Electric Vehicles | Editorial Board Member

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Dr. Bao Xie | Electric Vehicles | Editorial Board Member

lecturer | Hefei University of Technology | China

Dr. Bao Xie is an accomplished researcher and lecturer specializing in Electrical Engineering with a strong academic foundation and extensive experience in renewable energy systems, grid-connected power generation, and inverter stability control. Currently serving as a lecturer and supervisor of master’s candidates at the Hefei University of Technology, he has established a solid reputation in the fields of power electronics, control theory, and grid integration of renewable energy sources. His research primarily focuses on the control and stability of renewable energy grid-connected power systems, addressing challenges related to weak grid conditions, harmonic resonance, and digital control of large-scale photovoltaic (PV) plants. Over the years, Dr. Xie has demonstrated exceptional technical acumen and problem-solving ability, contributing significantly to multiple national and provincial-level research projects, including the Anhui Provincial Natural Science Foundation and the National Key Research and Development Programs. His research skills encompass advanced modeling, control strategy design, resonance analysis, and power conversion optimization, supported by a profound understanding of grid dynamics and inverter interactions. Dr. Xie’s scholarly contributions include over 60 publications in prestigious journals such as IEEE Transactions on Energy Conversion, IET Power Electronics, and International Journal of Electrical Power and Energy Systems, showcasing innovative approaches to improving grid stability and renewable integration. His dedication to academic excellence has earned him recognition as a promising figure in the next generation of electrical engineers, with his work offering impactful insights for sustainable and intelligent energy systems. Through his continuous pursuit of innovation, collaboration, and mentorship, he exemplifies the integration of theory and practical engineering for real-world energy applications. He has achieved 653 Citations, 61 Documents, 15h-index.

Profile:   Scopus

Featured Publications 

  1. Xie, B., Zheng, W., Li, P., Shi, Y., & Su, J. (2025). Stability analysis and admittance reshaping for PQ inverters with different power control methods. International Journal of Electrical Power and Energy Systems.

  2. Xie, B., Zhang, Q., Liu, T., Zhou, L., & Hao, G. (2025). Research on multi-model LQR control strategy for grid-connected inverters under weak grid. Electric Power Systems Research.

  3. Xie, B., Guo, K., Mao, M., Zhou, L., Liu, T., & Zhang, Q. (2025). Optimization of energy storage capacity of village-level microgrid considering the orderly charging of electric vehicles. Sustainable Energy Grids and Networks.

  4. Xie, B., Zhou, L., Liu, T., Zhang, Q., & Hao, G. (2025). Topology and control method of interleaved parallel DC/DC converters with ripple compensation for fuel cell applications. Journal of Power Electronics.

  5. Xie, B., Mao, M., Liu, T., Zhou, L., & Zhang, Q. (2025). State prediction consistency secondary control strategy for microgrids with adaptive virtual impedance. Dianji Yu Kongzhi Xuebao (Electric Machines and Control).

    Dr. Bao Xie’s research advances the stability, efficiency, and intelligence of renewable energy integration within modern power grids. His innovative control strategies for inverters and microgrids foster sustainable energy transitions and resilient smart grid infrastructures. Through interdisciplinary research bridging academia and industry, his work supports global innovation in clean energy technologies and digital power systems.

Rasool Ghobadian | Automobile Engineering | Best Researcher Award

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Prof. Dr. Rasool Ghobadian | Automobile Engineering | Best Researcher Award

University Professor  |  Razi university  |  Iran

Dr. Rasoul Ghobadian is a distinguished academic and researcher in the field of water engineering, specializing in advanced hydraulics, sediment transport, flood modeling, and computational hydraulics. As a professor at the Department of Water Engineering, Faculty of Agriculture, Razi University of Kermanshah, he has contributed extensively to both academia and industry through innovative research, design expertise, and teaching excellence. His professional experience spans over two decades, including collaboration with leading consulting firms such as Saman Abraha Tose, Alborz Studies, and Dezab Consulting Engineers, where he participated in large-scale irrigation and hydraulic infrastructure projects involving surface irrigation networks, diversion dams, and intake systems. Dr. Ghobadian’s research integrates theoretical modeling with practical applications, focusing on seepage loss estimation, flood routing, and the hydraulic performance of river confluences and hydraulic structures, with publications in reputed international journals such as Journal of Hydrologic Engineering, Water SA, and Alexandria Engineering Journal. His expertise encompasses computational fluid dynamics, numerical modeling, and water resource system design. Recognized for his excellence, he has received multiple awards including Best Researcher and Exemplary Teaching Professor from the Faculty of Agriculture and the Department of Water Engineering. His research has greatly influenced sustainable water resource management and hydraulic engineering education. Dr. Ghobadian’s scholarly achievements continue to advance the global understanding of hydraulic systems and water infrastructure optimization. He has achieved 136 Citations,  30 Documents, 6 h-index.

Profiles: Google Scholar  |  ORCID  |  Scopus

Featured Publications 

  1. Ghobadian, R., & Bajestan, M. S. (2007). Investigation of sediment patterns at river confluence. [Unpublished study]. Citations: 51

  2. Ghobadian, R., & Mohammadi, K. (2011). Simulation of subcritical flow pattern in 180° uniform and convergent open-channel bends using SSIIM 3-D model. Water Science and Engineering, 4(3), 270–283. Citations: 35

  3. Ghobadian, R., & Meratifashi, E. (2012). Modified theoretical stage-discharge relation for circular sharp-crested weirs. Water Science and Engineering, 5(1), 26–33. Citations: 21

  4. Ghobadian, R. (2007). Investigation of flow, scouring and sedimentation at river-channel confluences. Ph.D. Thesis, Department of Hydraulic Structures, Shahid Chamran University of Ahvaz. Citations: 13

  5. Mobara, S. E. H., Ghobadian, R., Rouzbahani, F., & Đorđević, D. (2021). Numerical simulation of submarine non-rigid landslide by an explicit three-step incompressible smoothed particle hydrodynamics. Engineering Analysis with Boundary Elements, 130, 196–208. Citations: 12

Dr. Rasoul Ghobadian’s pioneering research in hydraulic and sediment transport modeling enhances the understanding of river dynamics, erosion, and flood management systems. His work bridges scientific innovation with engineering practice, contributing to the sustainable design of hydraulic structures, water resource optimization, and disaster resilience for communities and industries worldwide.

 

Sreya Ghosh | Vehicular Communication Systems | Women in Automotive Award

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Dr. Sreya Ghosh | Vehicular Communication Systems | Women in Automotive Award

Assistant Professor  | IEM Kolkata  |  India

Dr. Sreya Ghosh is an accomplished researcher and academic specializing in intelligent transportation systems, vehicular ad hoc networks (VANETs), and wireless communication technologies. Currently serving as an Assistant Professor in the Department of Computer Science and Engineering (AIML) at the Institute of Engineering and Management, Kolkata, she has contributed significantly to the advancement of AI- and ML-driven solutions for next-generation vehicular networks. Her doctoral research at Jadavpur University focused on the design of vehicular ad hoc networks with enhanced performance applicable to intelligent transportation systems, integrating machine learning and communication optimization techniques. Over the years, she has published several impactful research papers in reputed international journals such as Wiley and Springer, with notable works including intelligent sensing-based resource allocation in 5G-V2X networks, RSU deployment optimization using complex network analysis, and enhanced routing algorithms for energy-efficient vehicular communication. Dr. Ghosh has also presented her research at numerous IEEE conferences, contributing to the development of algorithms for CO₂ emission reduction, cooperative caching, and congestion mitigation in smart cities. Her research interests span sensor networks, AI/ML applications, natural language processing, IoT, and algorithm design, with a strong emphasis on sustainable intelligent mobility. She possesses advanced technical skills in Python, PyTorch, Keras, MATLAB, and C, enabling her to develop and simulate intelligent systems effectively. She has been awarded prestigious fellowships, including the CSIR Senior Research Fellowship and the UGC UPE Fellowship, in recognition of her research excellence. Additionally, she has contributed as a reviewer for reputed IEEE and Springer journals and conferences and has organized academic events promoting innovation in computing and communication technologies. Her dedication to research and academic excellence reflects her commitment to advancing intelligent systems for societal benefit. She has achieved 61 Citations,   11 Documents, 5 h-index.

Profiles: Google Scholar  |  ORCID  |  Scopus

Featured Publications 

  1. Ghosh, S., Misra, I. S., & Chakraborty, T. (2023). Optimal RSU deployment using complex network analysis for traffic prediction in VANET. Peer-to-Peer Networking and Applications, 16(2), 1135–1154. Citations: 18

  2. Ghosh, S., & Misra, I. S. (2020). Enhanced QoS performance with reduced route overhead by ant colony optimization algorithm for VANET. In 2020 IEEE Applied Signal Processing Conference (ASPCON) (pp. 237–241). IEEE. Citations: 10

  3. Ghosh, S., & Misra, I. S. (2017). Design and testbed implementation of an energy efficient clustering protocol for WSN. In 2017 International Conference on Innovations in Electronics, Signal Processing and Communication (IESC) (pp. 55–60). IEEE. Citations: 9

  4. Ghosh, S., Misra, I. S., & Chakraborty, T. (2023). Improved Quality of Service by canine olfactory route finding algorithm for Vehicular Ad Hoc Network. Transactions on Emerging Telecommunications Technologies, 34(6), e4764. Citations: 5

  5. Ghosh, S., Misra, I. S., & Chakraborty, T. (2022). Developing an application for intelligent transportation system for emergency health care. In 2022 IEEE Calcutta Conference (CALCON) (pp. 39–43). IEEE. Citations: 2

Dr. Sreya Ghosh’s research integrates artificial intelligence, wireless communication, and vehicular networking to build smarter, safer, and more sustainable transportation ecosystems. Her innovative work on RSU optimization, QoS enhancement, and energy-efficient network design contributes to the development of next-generation intelligent transportation systems that support traffic efficiency, environmental sustainability, and smart city evolution worldwide..

 

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.