Ali Ihsan Aygun | Electrical Engineering | Best Researcher Award

Published on 19/06/202519/06/2025 by TOT Awards

Dr. Ali Ihsan Aygun | Electrical Engineering | Best Researcher Award

Assistant Professor at Duzce University, Turkey

Dr. Ali Ihsan Aygun is an accomplished academic and researcher specializing in Electrical and Computer Engineering, with a strong focus on smart grids, electric vehicles (EVs), and power systems optimization. He earned his PhD from the University of North Carolina at Charlotte (UNCC), where he developed cutting-edge algorithms for smart EV charging and grid stability. Currently an Assistant Professor at Duzce University, Turkey, he teaches and conducts research in power systems and intelligent energy networks. His technical acumen spans Matlab, Python, Opal-RT, and other simulation tools. Dr. Aygun has co-authored several high-impact IEEE publications and presented at prestigious international conferences. His research contributes to sustainable energy practices and the future of electric transportation infrastructure. As a forward-thinking innovator, Dr. Aygun is driving the convergence of clean energy, electric mobility, and grid reliability.

professional profile

ORCID

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Scopus Profile

Education

Dr. Ali Ihsan Aygun’s academic foundation is anchored in Electrical and Computer Engineering. He earned his PhD in 2022 from the University of North Carolina at Charlotte (USA), graduating with a perfect 4.00 GPA. Prior to that, he completed a Master’s degree in the same field at George Washington University in Washington, DC, USA, with a GPA of 3.33. He also began a Master’s program at Yıldız Technical University in Istanbul, Turkey, where he maintained a 3.83 GPA before transitioning abroad. His academic journey started with a BSc in Electrical and Electronic Engineering from Yıldız Technical University, where he graduated with 3.47 GPA. His advanced studies have covered power systems, smart grids, electric vehicles, and renewable energy integration, equipping him with both theoretical insight and practical experience to address modern energy challenges.

Work Experience

Dr. Aygun currently serves as an Assistant Professor at Duzce University, Turkey, since February 2022. He teaches both undergraduate and graduate-level courses in electrical and computer engineering while conducting research on power systems and smart grid optimization. His previous role as a Graduate Research Assistant at the Power, Energy, and Intelligent Systems Lab (PEISL) at UNCC (2018–2022) involved developing smart charging and routing algorithms for electric vehicle fleets and conducting grid control simulations. He also worked as a Graduate Teaching Assistant at UNCC, providing instruction for multiple undergraduate courses. Earlier in his career, he served as a Project Manager at Heper Moonlight Corp in Istanbul, where he handled design software like AutoCAD and Dialux and interfaced with clients. These roles reflect a rich blend of academic, research, and industry experience, positioning him as a versatile expert in electrical engineering and energy systems.

🏆 Awards & Honors

Dr. Aygun’s academic distinction is evident from his 4.00 GPA during his PhD studies at UNCC, showcasing exceptional performance in advanced power systems and smart grid research. His work has been published in IEEE Transactions on Industry Applications, a highly reputed journal in electrical engineering, reflecting recognition by the international research community. He was part of several competitive, peer-reviewed international conferences, including IEEE PESGRE and GlobConPT, where his contributions were presented and well-received. His collaborations with Duke Distinguished Professor Dr. Sukumar Kamalasadan and participation in leading-edge projects in electric vehicle energy optimization underscore his high standing in the field. While still in the early stages of his professorship, his research already holds practical and commercial value for the transition to sustainable energy, highlighting his potential for future national and international awards in engineering and clean energy.

Research Focus

Dr. Aygun’s research revolves around smart grid systems, electric vehicle energy management, and decentralized optimization algorithms. His core work involves developing centralized and decentralized smart charging methodologies to improve grid stability, reduce energy costs, and promote sustainable EV integration. He has designed and simulated scenarios such as valley filling, cost minimization, and vehicle-to-grid (V2G) applications. His innovative routing algorithm for EVs incorporates charging station stops and energy efficiency into a hybrid transportation model. Additionally, Dr. Aygun applies optimization techniques like ADMM (Alternating Direction Method of Multipliers) to power distribution networks. His focus also includes integrating flexible loads into grid operations and enhancing real-time grid response capabilities. The ultimate goal of his research is to create intelligent, energy-efficient systems that can adapt to the growing complexities of electric mobility and renewable energy networks.

🛠️ Skills

Dr. Aygun is proficient in programming and modeling tools central to modern power systems research. His programming strengths lie in Matlab and Python, which he uses extensively for algorithm development and simulation. He is adept with industry-leading simulation tools like Simulink, Opal-RT, CYME, PSCAD, PSSE, and PSIM, enabling him to model both microgrids and large-scale power networks. For optimization, he utilizes MOSEK and CVX, allowing for precise mathematical modeling of smart grid and EV scenarios. His design experience includes using AutoCAD, and he is also skilled in Microsoft Office Suite including Word, Excel, PowerPoint, and Visio for documentation and presentation. His strong combination of technical, analytical, and instructional skills makes him highly effective in both research and academic teaching environments, especially in the realm of power systems engineering, electric vehicles, and smart infrastructure.

Conclusion

Dr. Ali Ihsan Aygun is a highly promising early-career researcher with a solid academic background, outstanding technical contributions, and forward-looking research that aligns with global energy challenges. His impactful work on electric vehicle integration, smart charging infrastructure, and grid resilience positions him as a strong candidate for the Best Researcher Award, particularly in the domain of Smart Grid Technologies, Electrical Engineering, and Sustainable Power Systems.

Publications to Noted

Title: Centralized Charging Approach to Manage Electric Vehicle Fleets for Balanced Grid
Authors: A.I. Aygun, S. Kamalasadan
Citations: 10
Year: 2022

Title: Inverter-Angle-Induced Optimized Frequency Regulation Approach for AC–DC Microgrids Using Consensus-Based Identification
Authors: A. Joshi, A.I. Aygun, S. Kamalasadan, K. Biju
Citations: 7
Year: 2022

Title: A Two-Stage Optimal Electric Vehicles Charging Methodology Based on Aggregators Considering Grid Reliability and Operational Efficiency
Authors: A.I. Aygun, M.S. Hasan, A. Joshi, S. Kamalasadan
Citations: 4
Year: 2024

Title: An Optimal Hybrid Management of Electric Vehicle Fleet Charging and Load Scheduling in Active Electric Distribution System
Authors: A.I. Aygun, M.S. Hasan, A. Joshi, S. Kamalasadan
Citations: 4
Year: 2024

Title: An Optimal Approach to Manage Electric Vehicle Fleets Routing
Authors: A.I. Aygun, S. Kamalasadan
Citations: 3
Year: 2022

Title: An Alternating Direction Method of Multipliers (ADMM) Based Optimal Electric Vehicle Fleets Charging in Active Electric Distribution Network
Authors: A.I. Aygun, A. Joshi, S. Kamalasadan
Citations: 2
Year: 2022

Title: A Unified Control Design of Three Phase Inverters Suitable for Both Grid‐Forming and Following Modes of Operation
Authors: A. Ingalalli, A.I. Aygun, S. Kamalasadan
Citations: Not listed
Year: 2025

Title: Smart Charging Algorithms for Electric Vehicles: Addressing Grid Stress Through Real-Time Pricing
Author: A.I. Aygun
Citations: Not listed
Year: 2024

Title: Distributed Generation Approach with Helping of Charging Stations
Author: A.I. Aygun
Citations: Not listed
Year: 2024

Title: Dynamic Speed Optimization for Electric Vehicles
Author: A.I. Aygun
Citations: Not listed
Year: 2024

Ghazally Ibrahim Yousif Mustafa | Control Science | Best Researcher Award

Published on 15/11/202415/11/2024 by TOT Awards

Dr. Ghazally Ibrahim Yousif Mustafa | Control Science | Best Researcher Award

Assistant Professor at Shandong Technology and Business University, China

Dr. Ghazally Ibrahim Yousif Mustafa is an accomplished academic and researcher in the field of Electrical and Control Engineering. He holds a PhD in Control Science and Engineering, and his research expertise spans areas such as vehicle active suspension systems, nonlinear control systems, and power systems control. His work, particularly in model-free control techniques, has been published in numerous respected journals. He is currently an assistant professor at Shandong Technology and Business University in China, where he has contributed significantly to both teaching and research.

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Education

Dr. Ghazally Ibrahim Yousif Mustafa earned his BSc in Electrical Engineering from Sudan University of Science and Technology (2007), where he focused on energy management using SCADA systems. He continued his academic journey with a M.Sc. in Electrical Engineering from the same institution (2013), where his thesis explored control systems for DC motor speed regulation. Dr. Mustafa further pursued his academic excellence at Nanjing University of Science & Technology in China, obtaining a PhD in Control Science and Engineering (2020), focusing on model-free control techniques for active suspension systems in vehicles. His interdisciplinary education equips him to address complex engineering challenges, from automation to control theory.

work Experience

Dr. Mustafa has significant teaching and research experience in the field of Electrical and Control Engineering. He is currently an Assistant Professor at Shandong Technology and Business University (2020–Present), where he teaches courses on power systems, control theory, and electrical machines. His previous role as a Lecturer and Head of the Electrical Engineering Department at Damazine Technological College, Sudan (2013–2015) honed his leadership skills, as he managed curriculum development and student research projects. In addition, he has served as a Part-time Lecturer at Blue Nile University and a Teaching Assistant at Damazine Technological College, enriching his teaching capabilities and research output. His international experience in both Sudan and China has fostered a unique perspective in engineering education and research.

Awards and honors

Dr. Ghazally Ibrahim Yousif Mustafa has been recognized for his academic excellence and research contributions. In 2015, he was awarded a Full Scholarship for Ph.D. by the Chinese Government Scholarship Council (CSC), Ministry of Education, China. He also received a Scholarship and Travel Grant from the Ministry of Higher Education and Scientific Research, Sudan, to support his doctoral studies. Dr. Mustafa’s professional achievements extend to his role as a Reviewer for esteemed journals like ISA Transactions, Physica C: Superconductivity and its applications, and Complex & Intelligent Systems. His academic awards reflect his dedication to advancing engineering research and contributing to scientific communities globally.

Research Focus

Dr. Ghazally Ibrahim Yousif Mustafa’s research focuses on advanced control systems, particularly in vehicle suspension systems, power systems, and nonlinear control systems. He is known for his work in model-free control techniques to improve vehicle dynamics and enhance active suspension systems. His research also extends to the optimization of fuzzy logic controllers, sliding mode control, and neural network-based adaptive controls for nonlinear systems. Furthermore, Dr. Mustafa has contributed to the development of load frequency control systems for interconnected power grids, using innovative control methodologies to improve system stability and performance. His work aims to bridge the gap between theory and practical applications, fostering advancements in the automation and control industries.

Skills

Dr. Ghazally Ibrahim Yousif Mustafa possesses a comprehensive skill set in Electrical Engineering, Control Systems, and Automation. He is proficient in model-free control techniques, including fuzzy logic, sliding mode, and neural network-based control systems. His expertise extends to the design and optimization of active suspension systems for vehicles, as well as power system analysis and electrical machine drives. Dr. Mustafa is skilled in academic research and publication, contributing to various professional journals. His skills in curriculum development, mentoring students, and research supervision also stand out, making him a well-rounded educator. His diverse skill set enables him to lead cutting-edge research while effectively teaching and guiding the next generation of engineers.

Conclusion

Dr. Ghazally Ibrahim Yousif Mustafa is a highly deserving candidate for the Best Researcher Award due to his outstanding academic and research achievements in Electrical and Control Engineering. His extensive contributions to the field, especially in model-free control techniques and their applications in vehicle suspension and power systems, demonstrate his technical expertise and innovative approach. Additionally, his commitment to teaching and mentoring the next generation of engineers further strengthens his case for this award.

While there are areas for potential growth, such as industry collaboration and the broader dissemination of his work, his achievements thus far place him among the top researchers in his field. Dr. Mustafa’s combination of academic rigor, commitment to education, and international collaboration makes him an excellent candidate for this prestigious recognition.

Publications to Noted

Model-free fractional-order sliding mode control for an active vehicle suspension system

Authors: HP Wang, GIY Mustafa, Y Tian

Citations: 146

Year: 2018

Vibration control of an active vehicle suspension systems using optimized model-free fuzzy logic controller based on time delay estimation

Authors: GIY Mustafa, HP Wang, Y Tian

Citations: 90

Year: 2019

Model-free Adaptive Fuzzy Logic Control for a Half-car Active Suspension System

Authors: YT Ghazally I. Y. MUSTAFA, Haoping WANG

Citations: 25

Year: 2019

OPTIMIZED FAST TERMINAL SLIDING MODE CONTROL FOR A HALF-CAR ACTIVE SUSPENSION SYSTEMS

Authors: G Mustafa

Citations: 15

Year: 2020

Neuro-fuzzy controller design for a dc motor drive

Authors: GY Mustafa, AT Ali, E Bashier, MF Elrahman

Citations: 12

Year: 2013

A New Neural Network-Based Adaptive Time-Delay Control for Nonlinear Car Active Suspension System

Authors: G Mustafa

Citations: 6

Year: 2022

Power Decoupling Enhancement of a Triple Active Bridge Converter with Feedforward Compensation Based on Model Predictive Control and Fuzzy Logic Controller in DC Microgrid Systems

Authors: AHA Adam, J Chen, M Xu, S Kame, GIY Mustafa, ZA Zaki, EM Ahmed

Citations: N/A (2024)

A new adaptive fuzzy logic control for nonlinear car active suspension systems based on the time-delay

Authors: GIY Mustafa, H Wang

Citations: N/A (2024)

Ali Ihsan Aygun | Electrical Engineering | Best Researcher Award

Dr. Ali Ihsan Aygun | Electrical Engineering | Best Researcher Award

professional profile

Education

Work Experience

🏆 Awards & Honors

Research Focus

🛠️ Skills

Conclusion

Publications to Noted

Ghazally Ibrahim Yousif Mustafa | Control Science | Best Researcher Award

Dr. Ghazally Ibrahim Yousif Mustafa | Control Science | Best Researcher Award

professional profiles

Education

work Experience

Awards and honors

Research Focus

Skills

Conclusion

Publications to Noted

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