Youqun Zhao | Vehicle Dynamics | Research Excellence Award

Posted on by Automobile Award

Prof. Dr.Youqun Zhao | Vehicle Dynamics | Research Excellence Award

Second-level Professor  |  Nanjing University of Aeronautics and Astronautics  |  China

Prof. Dr. Youqun Zhao is a leading scholar in vehicle engineering and intelligent transportation systems, with extensive contributions spanning green intelligent transport equipment, new-energy and electric vehicles, vehicle safety and control, non-pneumatic mechanical elastic wheels, and human–machine shared control for autonomous driving. Professional experience reflects long-term leadership in advanced vehicle dynamics, handling inverse dynamics, and intelligent control, alongside visiting and collaborative international research roles. Research interests focus on vehicle system dynamics, unmanned and co-driving vehicles, mechanical elastic wheel technology, suspension and steering control, and energy-efficient mobility systems. Research skills include theoretical modeling, inverse dynamics, multi-objective optimization, control algorithms, simulation–experiment integration, and patent development. Awards and honors include multiple national and ministerial science and technology prizes, invention awards, and recognition among the world’s top 2% scientists. Overall, the work demonstrates sustained impact, innovation, and academic excellence in automotive and intelligent vehicle engineering.He has achieved 2904 Citations, 261 Documents, 28 h-index.

 

Citation Metrics (Scopus)

3000
2500
2000
1500
500
0

2904
Citations

261
Documents

28
h-index

Citations

Documents

h-index


View Research Gate Profile
View Scopus Profile
View ORCID Profile

Featured Publications

Hüseyinturan Arat | Hydrogen Mobility | Research Excellence Award

Posted on by Automobile 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.

 

Citation Metrics (Scopus)

1200
1000
600
300
0

1,081
Citations

25
Documents

14
h-index


View Google Scholar Profile
View Scopus Profile
View ORCID Profile

Top 5 Publications

Erfan Abbasi Shahisaraei | Electric Vehicles | Student Research Paper Award

Posted on by Automobile Award

Mr. Erfan Abbasi Shahisaraei | Electric Vehicles | Student Research Paper Award

PhD Student | Tarbiat Modares University | Iran

Mr. Erfan Abbasi Shahisaraei is a mechanical engineering researcher with strong expertise in fatigue life analysis, advanced structural design, and composite and architected materials. Professional experience includes research and engineering roles focused on electric vehicle battery pack design, vibration and shock analysis under international standards, reverse engineering of steelmaking equipment, and structural and fatigue analysis of industrial systems using advanced FEA tools. Research interests span fatigue and dynamic behavior of electric vehicle components, lattice and fiber-reinforced composites, fracture mechanics, and optimization-driven structural design. Research skills include finite element modeling, fatigue assessment, multi-body dynamics, numerical optimization, and engineering simulation using industry-standard software and programming tools. Awards and honors reflect consistent academic and research excellence through competitive projects and peer-reviewed publications. Overall, the work demonstrates a strong integration of theory, simulation, and applied engineering for energy and transportation systems.He has achieved 1 document.


View Research Gate Profile
View Google Scholar Profile
View ORCID Profile

Featured Publication


Numerical Fatigue Life Analysis for Battery Pack of Electric Bus Under Random Vibration


– Iranian Journal of Science and Technology, Transactions of Mechanical Engineering, 2025

Wanke cao | Electric Vehicles | Best Paper Award

Posted on by Automobile Award

Prof. Wanke Cao | Electric Vehicles | Best Paper Award

Director of the Department of In-Vehicle Network Technologies |  Shenzhen Automotive Research Institute (SZART) | China

Prof. Wanke Cao is an established academic and researcher in electric vehicle engineering, with a strong profile spanning summary, professional experience, research interests, research skills, awards and honors, and overall contributions to the field. His professional experience includes long-term academic leadership and research roles in electric vehicle systems, in-vehicle networks, and intelligent automotive technologies, with international research exposure and institutional responsibilities. His research interests focus on networked control of electric vehicles, vehicle dynamics and control, and in-vehicle network technologies. His research skills include modeling and control of vehicle systems, intelligent transportation technologies, embedded and networked automotive systems, and applied engineering research. He has received recognition for sustained research output, academic service, and technical contributions. Overall, his work demonstrates consistent impact on electric vehicle technology development and scholarly advancement. He has acheived 1195 Citations, 69 Documents,16 h-index.

Citation Metrics (Scopus)

1200
900
600
300
0

1,195
Citations

69
Documents

16
h-index

Citations

Documents

h-index

 


View Research Gate Profile
View Scopus Profile
View ORCID Profile

Top 5 Publications

Eshetu Haile Gorfie | Hybrid Vehicles | Research Excellence Award

Posted on by Automobile Award

Dr. Eshetu Haile Gorfie | Hybrid Vehicles | Research Excellence Award

Researcher | Bahir Dar University | Ethiopia

Dr. Eshetu Haile Gorfie is an accomplished academic and researcher with extensive experience in teaching, research, and academic leadership within the field of mathematics. His professional experience spans undergraduate and postgraduate instruction, supervision of MSc and PhD researchers, curriculum coordination, and leadership roles such as department head and program coordinator. His research interests focus on fluid dynamics, magnetohydrodynamics, nanofluid flow, differential equations, numerical methods, and heat and mass transfer phenomena. He possesses strong research skills in mathematical modeling, analytical and numerical analysis, scientific computing, and scholarly publishing, with contributions to high-impact international journals. His awards and honors recognize excellence in teaching, conference leadership, and academic service. Overall, his work demonstrates sustained impact through research productivity, mentorship, and institutional contribution.He has acheived  357 Citations, 19 Documents, 9 h-index.

Citation Metrics (Scopus)

400
300
25
10
0

357
Citations

19
Documents

9
h-index

Citations

Documents

h-index


View Google Scholar Profile
View Scopus Profile
View ORCID Profile

Featured Publications

Zhen Guo | Automotive Robotics | Research Excellence Award

Posted on by Automobile Award

Dr. Zhen Guo | Automotive Robotics | Research Excellence Award

Doctoral student |  Wuhan University of Technology |  China

Dr. Zhen Guo is an emerging researcher in intelligent fault diagnosis and industrial artificial intelligence, with work spanning advanced data-driven methods for complex mechanical and robotic systems. The academic profile reflects strong training in engineering research with a focus on applying deep learning and statistical learning to real-world reliability challenges. Professional experience includes active service as a peer reviewer for leading international journals and conferences in engineering informatics, artificial intelligence, measurement science, and mechanical systems, demonstrating recognition within the scholarly community. Research interests center on deep learning–based fault diagnosis, rotating machinery health monitoring, robotics, anomaly detection, imbalance learning, few-shot and incremental learning, and transfer learning, particularly for wind turbines, gearboxes, and autonomous systems. Research skills encompass convolutional and attention-based neural networks, adversarial learning, feature extraction, time-series analysis, imbalance data handling, and intelligent condition monitoring frameworks. Contributions are evidenced by publications in high-impact journals such as Renewable Energy, IEEE Transactions on Instrumentation and Measurement, Expert Systems with Applications, Measurement, Ocean Engineering, and Scientific Reports, addressing both theoretical modeling and practical deployment. Awards and honors are reflected through consistent publication in top-tier venues and trusted reviewer roles. Overall, the work demonstrates a coherent trajectory toward robust, scalable, and intelligent diagnostic solutions for next-generation industrial and transportation systems. He has achieved 152 Citations 11 Documents 7h-index.

Citation Metrics (Scopus)

150
120
20
5
0

152
Citations

11
Documents

7
h-index

Citations

Documents

h-index


View ORCID Profile
View Scopus Profile

Featured Publications

Swati Mukhopadhyay | Automobile Engineering | Research Excellence Award

Posted on by Automobile Award

Prof. Swati Mukhopadhyay | Automobile Engineering| Research Excellence Award

The University of Burdwan  |  India

Prof. Swati Mukhopadhyay is a leading mathematics researcher known for influential work in fluid mechanics, nanofluid dynamics, and heat-mass transfer, supported by strong analytical, computational, and modeling skills. Her extensive publications, global collaborations, and numerous international recognitions highlight her impact on advanced transport phenomena research. She has achieved 5,847 Citations ,169 Documents,  h-index 45.

 

Citation Metrics (Google Scholar)

5000
3000
2000
1000
500
200
100
50
0

5847
Citations

169
Documents

45
h-index

Citations

Documents

h-index



View Scopus Profile
View Google scholar Profile
View ORCID Profile

Featured Publications


Insight into the Forced Convective Radiative Stefan Flow of Nanofluid over an Unsteady Stretched Sheet

– International Journal of Computational Materials Science and Engineering, 2026


Insight into the Forced Convective Radiative Stefan Flow of Nanofluid over an Unsteady Stretched Sheet

– International Journal of Computational Materials Science and Engineering, 2026

Ayşe Tuğba Yapıcı | Electric Vehicles | Best Research Article Award

Posted on by Automobile Award

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

Posted on by Automobile Award

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

Posted on by Automobile Award

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.