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.

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.