Dr. Ali Ihsan Aygun | Energy | Best Researcher Award

Dr. Ali Ihsan Aygun, Duzce University, Turkey

Dr. Ali Ihsan Aygun is an Assistant Professor at Duzce University, Turkey, specializing in ⚡power systems and smart grids. He earned his PhD in Electrical and Computer Engineering from the University of North Carolina at Charlotte 🇺🇸 with a perfect GPA of 4.00. His research focuses on electric vehicle charging optimization, smart grid control, and energy efficiency 🚗🔋. He has published extensively in prestigious IEEE journals and conferences 📚. Dr. Aygun is proficient in tools like Matlab, Simulink, and Python 🧠💻. His international academic background and impactful innovations make him a leading voice in next-generation energy systems

Publication Profile

Google Scholar

🎓 Education Background

Dr. Ali Ihsan Aygun holds a PhD in Electrical and Computer Engineering from the University of North Carolina at Charlotte 🇺🇸, completed in December 2022 with a perfect GPA of 4.00 🧠. He earned his MS in the same field from George Washington University, Washington DC, in 2018 with a GPA of 3.33 🎓. Prior to that, he began a second MS at Yıldız Technical University 🇹🇷 but chose to pursue international opportunities. He also completed his BSc in Electrical and Electronic Engineering from Yıldız Technical University in 2014, graduating

💼 Professional Experience

Dr. Ali Ihsan Aygun is currently serving as an Assistant Professor at Duzce University 🇹🇷 since February 2022, teaching and researching in Power Systems and Smart Grids ⚡. Previously, he was a Graduate Research Assistant at UNCC 🇺🇸, where he developed smart charging algorithms, hybrid EV routing systems 🚗🔋, and hardware testbeds for microgrid applications. As a Teaching Assistant, he supported courses like Logic and Network Lab and Network Theory 📘. Earlier, he worked as a Project Manager at Heper Moonlight Corp in Istanbul, managing lighting projects using Dialux and AutoCAD

🔬 Research Focus

Dr. Ali Ihsan Aygun’s research is centered on Electric Vehicles (EVs) 🚗🔋, Smart Grids ⚡, and Power System Optimization 📉. His work emphasizes developing intelligent charging algorithms, real-time energy management, and decentralized EV fleet control to enhance grid reliability and operational efficiency 🧠🔌. He is also involved in microgrid technologies, frequency regulation, and dynamic speed optimization within EV infrastructure 🌐⚙️. With contributions to IEEE journals and global conferences, Dr. Aygun focuses on making energy systems more sustainable, scalable, and smart through advanced computational and control methods

Publication Top Notes

📘 Centralized Charging Approach to Manage Electric Vehicle Fleets for Balanced Grid – Cited by: 10 📊 | Year: 2022 📅
📘 Inverter-Angle-Induced Optimized Frequency Regulation Approach for AC–DC Microgrids – Cited by: 7 📊 | Year: 2022 📅
📘 Optimal Hybrid Management of EV Fleet Charging & Load Scheduling – Cited by: 4 📊 | Year: 2024 📅
📘 Two-Stage Optimal EV Charging Methodology with Aggregators – Cited by: 3 📊 | Year: 2024 📅
📘 Optimal Approach to Manage EV Fleets Routing – Cited by: 3 📊 | Year: 2022 📅
📘 ADMM-Based Optimal EV Fleets Charging in Active Distribution Network – Cited by: 2 📊 | Year: 2022 📅
📘 Smart Charging Algorithms for EVs: Addressing Grid Stress – Year: 2024 📅
📘 Distributed Generation Approach with Charging Stations – Year: 2024 📅
📘 Dynamic Speed Optimization for Electric Vehicles – Year: 2024 📅
📘 Optimal Energy Management of Power Grid with EVs & Flexible Loads – Year: 2023 📅