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.

Kristaq Hazizi | Automotive Engineering | Best Researcher Award

Dr. Kristaq Hazizi | Automotive Engineering | Best Researcher Award

Lecturer in Mechanical and Automotive Engineering  | Coventry University | United Kingdom

Dr. Kristaq Hazizi is a Lecturer in Mechanical and Automotive Engineering at Coventry University, with over 15 years of combined academic and industry experience dedicated to advancing sustainable automotive technologies. He earned his Ph.D. in Automotive Engineering from Coventry University in 2013, where his doctoral research centered on advanced engine simulation and alternative fuels to enhance efficiency and reduce emissions. Professionally, Dr. Hazizi has contributed to both academia and industry by leading research projects on engine modeling, combustion optimization, and the integration of renewable fuels into modern powertrain systems. His research interests lie in engine simulation, hybrid propulsion systems, and low-carbon transportation, areas that align with global efforts to achieve cleaner and more efficient mobility solutions. His research skills include advanced numerical modeling, computational fluid dynamics (CFD), thermodynamic analysis, and applied experimental testing for engine performance evaluation. Dr. Hazizi has successfully secured competitive research funding and has collaborated with international teams to promote sustainable energy solutions. His publications appear in reputed IEEE and Scopus-indexed journals and conference proceedings, reflecting a growing influence in the automotive engineering field. In addition to research, he is an active mentor to students, guiding projects and theses in sustainable mobility, and has contributed to professional communities as a member of IEEE and SAE. Dr. Hazizi has received recognition for his academic excellence and contributions to advancing green automotive technologies, including institutional awards for research innovation and teaching. His dedication to bridging research with practical applications demonstrates his commitment to both scientific advancement and societal impact. With a vision to expand international collaborations and publish in more high-impact journals, Dr. Hazizi continues to shape the future of sustainable transportation research, with 16 citations, 3 published documents, and an h-index of 2.

Profiles:  Scopus | ORCID | Google Scholar

Featured Publications

Hazizi, K., & Ghahleeh, M. (2023). Design and analysis of a typical vertical pressure vessel using ASME code and FEA technique. Infrastructures, 7(3), 78. Cited by: 22

Hazizi, K., Ramezanpour, A., Costall, A., & Asadi, M. (2019). Numerical analysis of a turbocharger compressor. E3S Web of Conferences, 95, 04008. Cited by: 6

Gophane, I., Dharashivkar, N., Mulik, P., & Patil, P. (2024). Analysis of pressure vessel. Indian Journal of Science and Technology, 17(12), 1148–1158. Cited by: 2

Hazizi, K., Ghahleeh, M., & Rasool, S. (2023). Analytical and numerical investigation of fatigue life in rectangular plates with opposite semicircular edge single notches. Applied Engineering, 4(3), 948–973. Cited by: 1

Hazizi, K., Ghahleeh, M., & Rasool, S. (2023). Analytical and numerical investigation of fatigue life in rectangular plates with opposite semicircular edge single notches. Preprints, 2023080788. Cited by: 1