Ms. Ayse Tugba Yapıcı | Charging Security | Research Excellence Award

Ms. Ayse Tugba Yapıcı | Charging Security | Kocaeli University | Turkey

Ms. Ayşe Tuğba Yapıcı is a dedicated female researcher in Electrical Engineering whose academic foundation comprises a BSc in Electrical and Electronics Engineering, an MSc in Electrical Engineering, and a PhD from Kocaeli University, equipping her with a robust background in power systems, electric vehicles (EVs), and smart energy infrastructures. In her professional experience as a Doctoral Researcher, she has worked on designing EV charging station deployments, integrating grid infrastructure, optimizing charger location and load forecasting, and developing artificial intelligence–based models for predicting charging and travel durations in autonomous EV taxi systems. Her research interests focus on induction heating systems, EV charging station design, grid integration of EV infrastructure, hybrid energy storage systems, and AI-driven prediction and optimization for charging load and EV penetration forecasting. Her technical research skills include deep learning (LSTM, GRU, regression analysis), IoT framework development, simulation and modeling, system integration, power electronics analysis (boost converters), hybrid battery–supercapacitor storage evaluation, data analysis, and predictive analytics for energy systems. She demonstrates commitment to academic rigor through multiple peer-reviewed publications, and her international research scope positions her to contribute to sustainable mobility and intelligent power grids. While she is early in her career and formal awards or honors have not yet been listed, her consistent publication record and focus on relevant societal challenges such as sustainable transport and smart grid solutions suggest a promising trajectory toward recognition. Her future potential lies in expanding collaborations, securing research grants, contributing to international conferences, and leading projects that merge sensing technologies with energy systems for smart city and EV ecosystem applications. In conclusion, Ms Ayşe Tuğba Yapıcı embodies the next generation of researchers bridging electrical engineering, sensing and AI-based modeling, whose dedication, growing expertise, and vision for sustainable, sensor-enabled mobility infrastructure make her a compelling candidate worthy of acknowledgement and support as she advances toward impactful innovations in EV charging and smart energy systems.

Professional Profiles: ORCID | Scopus

Selected Publications

An Intelligent and Secure IoT-Based Framework for Predicting Charging and Travel Duration in Autonomous Electric Taxi Systems
Estimation of Future Number of Electric Vehicles and Charging Stations: Analysis of Sakarya Province with LSTM, GRU and Multiple Linear Regression Approaches
Predicting Future Electric Vehicle and Charging Station Numbers Using LSTM and GRU Deep Learning Methods: Kocaeli Province Example
Example Application for Kocaeli University Umuttepe Campus Using Digsilent Software in Electric Vehicle Charging Station Location Design
Different Approaches to the Analysis of Boost Converter Used in Electric Vehicle Circuits
Ms. Ayse Tugba Yapıcı | Charging Security | Research Excellence Award

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