Ali Ihsan Aygun | Energy | Best Researcher Award

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 πŸ‡ΊπŸ‡Έ with a perfect GPA of 4.00. His research focuses on electric vehicle charging optimization, smart grid control, and energy efficiency πŸš—πŸ”‹. He has published extensively in prestigious IEEE journals and conferences πŸ“š. Dr. Aygun is proficient in tools like Matlab, Simulink, and Python πŸ§ πŸ’». His international academic background and impactful innovations make him a leading voice in next-generation energy systems

Publication Profile

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πŸŽ“ Education Background

Dr. Ali Ihsan Aygun holds a PhD in Electrical and Computer Engineering from the University of North Carolina at Charlotte πŸ‡ΊπŸ‡Έ, 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 πŸŽ“. Prior to that, he began a second MS at YΔ±ldΔ±z Technical University πŸ‡ΉπŸ‡· but chose to pursue international opportunities. He also completed his BSc in Electrical and Electronic Engineering from YΔ±ldΔ±z Technical University in 2014, graduating

πŸ’Ό Professional Experience

Dr. Ali Ihsan Aygun is currently serving as an Assistant Professor at Duzce University πŸ‡ΉπŸ‡· since February 2022, teaching and researching in Power Systems and Smart Grids ⚑. Previously, he was a Graduate Research Assistant at UNCC πŸ‡ΊπŸ‡Έ, where he developed smart charging algorithms, hybrid EV routing systems πŸš—πŸ”‹, and hardware testbeds for microgrid applications. As a Teaching Assistant, he supported courses like Logic and Network Lab and Network Theory πŸ“˜. Earlier, he worked as a Project Manager at Heper Moonlight Corp in Istanbul, managing lighting projects using Dialux and AutoCAD

πŸ”¬ Research Focus

Dr. Ali Ihsan Aygun’s research is centered on Electric Vehicles (EVs) πŸš—πŸ”‹, Smart Grids ⚑, and Power System Optimization πŸ“‰. His work emphasizes developing intelligent charging algorithms, real-time energy management, and decentralized EV fleet control to enhance grid reliability and operational efficiency πŸ§ πŸ”Œ. He is also involved in microgrid technologies, frequency regulation, and dynamic speed optimization within EV infrastructure πŸŒβš™οΈ. 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

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

Bingshuo Chen | Transport | Best Researcher Award

Dr. Bingshuo Chen | Transport | Best Researcher Award

Dr. Bingshuo Chen, Research Institute of Highway, Ministry of Transport, China

Prof. Bingshuo Chen holds a Ph.D. from Beijing University of Technology, mentored by Professors Liu Xiaoming and Zhao Xiaohua. Β A member of the Communist Party of China, he works at the Research Institute of Highway, Ministry of Transport. Β His research focuses on driving behavior, traffic psychology, and road safety education. He has published 8 papers (3 SSCI, 2 in JCR Q1) and co-authored 2 academic books. He earned 2 national awards and 9 university honors, including the Graduate Innovation Award and Outstanding Graduate of Shandong Province.Β His work combines scientific insight with societal impact.

Publication Profile

Scopus

πŸŽ“ Academic Qualifications

rof. Bingshuo Chen earned his Ph.D. from Beijing University of Technology, a respected institution, under the mentorship of Professors Liu Xiaoming and Zhao Xiaohua. This academic foundation from a well-regarded university provides a strong base for high-level research activities.

πŸ† Awards and Honors

Prof. Chen has received two national-level awards, notably the Third Prize in the National College Student English Competition (Category C). In addition, he has been recognized with nine university-level honors, including the Graduate Innovation Award and the title of β€œOutstanding Graduate of Shandong Province.” These accolades reflect academic excellence and leadership.

Research Focus

Prof. Bingshuo Chen holds a Ph.D. from Beijing University of Technology, mentored by Professors Liu Xiaoming and Zhao Xiaohua. Β A member of the Communist Party of China, he works at the Research Institute of Highway, Ministry of Transport. Β His research focuses on driving behavior, traffic psychology, and road safety education. Β He has published 8 papers (3 SSCI, 2 in JCR Q1) and co-authored 2 academic books. Β He earned 2 national awards and 9 university honors, including the Graduate Innovation Award and Outstanding Graduate of Shandong Province. Β His work combines scientific insight with societal impact.

Conclusion

Prof. Bingshuo Chen is a highly suitable candidate for the Research for Best Researcher Award. His work addresses real-world challenges in traffic safety and psychology, backed by a solid record of scientific contributions and awards.

Publication Top Notes

πŸ“„ Study on Evaluation and Influencing Factors of Cognitive Driving Ability in Elderly Drivers – 2024

πŸ“„ Why do older drivers self-regulate: Psychological factors influencing self-regulation in a Chinese sample – Cited by – 8

πŸ“„ How does older and younger drivers’ risk cognition affect the safety performance: A driving simulator study of sudden lane-changing of the leading vehicle

πŸ“„ Mapping the knowledge domain of crash risk in older drivers studies: A scientometric analysis

πŸ“„ Exploring the associations of demographics and scale measures with cognitive driving behavior among older drivers in China Cited by – 6