Ayşe Tuğba Yapıcı | Electric Vehicles | Best Research Article 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.

Bao Xie | Electric Vehicles | Editorial Board Member

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.

Shengkai Li | Battery Technology | Best Researcher Award

Dr. Shengkai Li | Battery Technology | Best Researcher Award

Professor  |  Gannan University of Science and Technology‌  |  China

Dr. Shengkai Li is an accomplished researcher and associate professor at the School of Intelligent Manufacturing and Materials Engineering, Gannan University of Science and Technology, recognized for his contributions to the field of advanced electrode materials for next-generation energy storage systems. His research primarily focuses on the development and application of key electrode materials for high-performance lithium, sodium, and potassium batteries, with an emphasis on metal selenide-based anode materials and heterostructure engineering for enhanced electrochemical performance. Dr. Li has demonstrated extensive expertise in material synthesis, structural characterization, electrochemical analysis, and battery performance optimization, contributing significantly to sustainable energy technology advancement. He has led and participated in several important national and provincial research projects, including the National Natural Science Foundation of China’s Regional Joint Fund and the Guangdong Provincial Science and Technology Program, reflecting his strong leadership and collaborative capabilities in multidisciplinary research environments. His notable publications in RSC Advances, Materials Today Energy, Nanoscale, Electrochimica Acta, and Sustainable Energy & Fuels showcase innovative work on nanostructured and heterojunction anodes with exceptional rate capability and cycle stability. Through his impactful research, Dr. Li has advanced the understanding of energy storage mechanisms, contributing to both academic progress and industrial applications in battery technologies. His scientific achievements have earned recognition within the research community, positioning him as a promising figure in the field of electrochemical energy materials. He has acheived 4 Citations, 5 Documents, 1 h-index.

Profiles:  ORCID | Scopus

Featured Publication

  1. Jiang, H., Xia, J., Li, S., Liu, H., Lin, J., Liu, D., Liu, Y., Wang, Q., Feng, B., & Xia, X. (2025). Recent progress on CoP as anodes for metal–ion batteries. ChemPhysChem, 26(20), e202500165.

 

 

Marwa Mohammed | Battery Technology | Women Researcher Award

Assoc. Prof. Dr. Marwa Mohammed | Battery Technology | Women Researcher Award     

Assistant Professor  |  Prince Sattam Bin Abdul Aziz  |  Saudi Arabia

Dr. Marwa Mostafa Moharam Haqqi Mohammed is a highly accomplished Assistant Professor and Head of the Chemistry Department at the Faculty of Arts and Science (Girls), Prince Sattam Bin Abdul Aziz University, Saudi Arabia, and a Researcher at the Central Metallurgical R&D Institute (CMRDI), Egypt. With a robust academic and research background in applied inorganic and materials chemistry, she has demonstrated excellence in teaching, laboratory research, and scientific leadership. Her expertise spans advanced inorganic synthesis, nanomaterials, electrochemical processing, supercapacitor design, energy storage systems, and environmental applications. Dr. Marwa has led and contributed to numerous funded research projects focused on sustainable materials, hybrid nanostructures, and electrochemical energy technologies. She has established a strong international presence through collaborative research visits at the University of Florida, USA, and the University of Grenoble INP – Phelma, France, enhancing her interdisciplinary perspective and global engagement in materials science. Her research skills encompass synthesis, characterization, and computational analysis of metal oxides, nanocomposites, and ferrite materials with targeted applications in catalysis, energy, and health. Dr. Marwa’s prolific publication record in high-impact journals reflects her sustained contribution to materials innovation and energy research. Her accolades include multiple university-funded research grants, participation in international conferences, and recognition for advancing applied chemistry toward sustainable technologies. She also demonstrates a strong commitment to academic mentorship, curriculum development, and the promotion of women in science. Overall, Dr. Marwa’s scientific journey embodies innovation, collaboration, and dedication to addressing modern technological challenges through chemistry. She has acheived 518 Citations ,36 Documents, 12 h-index.

Profiles:  Google Scoholar | ORCID | Scopus

Featured Publications

1. Shenouda, A. Y., Moharam, M. M., & Farghaly, F. E. (2024). Correction to: Synthesis, characterization, and electrochemical performance of Cu₃SbS₃ using different sources of sulfur [Correction]. Journal of Materials Science: Materials in Electronics, 34(12), 1058.

2. Kassem, A. F., Asif, S. U., Saleh, E. A. M., Althomali, R. H., Hassan, I., & Moharam, M. M. (2024). Effect of coercive aluminium on the structural and magnetic characteristics of calcium and magnesium based hexaferrites. Materials Science and Engineering: B, 317, 117174.

3. Sadiq, M., Islam, M. U., Moharam, M. M., Saleh, E. A. M., & Asif, S. U. (2024). Enhanced electrochemical performance of La₂S₃/N-rGO/PANI nanocomposites as an efficient electrode material for supercapacitor applications. Journal of Materials Science: Materials in Electronics, 35, 12738.

4. Irfan, M., Shaheen, N., Solre, G. F. B., Alabbad, E. A., Saleh, E. A. M., Moharam, M. M., El-Zahhar, A. A., Asif, S. U., Eldin, S. M., & Tahir, M. H. (2024). Fe and Rh doping nanoarchitectonics on properties of Sr₂YGaX₂O₇ pyrochlore oxides with a DFT-based spin-polarized calculation for optoelectronic and thermoelectric applications. Journal of Inorganic and Organometallic Polymers and Materials, 34(1), 28-45.

5. Ijaz, M., Albalawi, K., Ghori, U.-U.-R., Saleh, E. A. M., Moharam, M. M., El-Zahhar, A. A., Asif, S. U., & Ullah, H. (2024). Influence of ferromagnetic cobalt on microstructural and magnetic trends of sol–gel routed rare earth and aluminium-based BaSr-hexaferrites (Ba₀.₆Sr₀.₃Er₀.₁Fe₁₁.₅-xAl₀.₅CoₓO₁₉). Materials Science and Engineering: B, 299, 116933.