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.