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

Google Scholar

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

Xinan Zhang | Electrical Engineering | Best Researcher Award

Published on 23/12/202423/12/2024 by TOT Awards

Assoc. Prof. Dr. Xinan Zhang | Electrical Engineering | Best Researcher Award

Associate Professor at University of Western Australia, Australia

Dr. Xinan Zhang is an Associate Professor in the School of Engineering at the University of Western Australia (UWA), specializing in power electronics, smart grids, and energy systems. With over 15 years of academic and industry experience, he has earned international recognition for his contributions to electrical engineering and renewable energy integration. Dr. Zhang holds a PhD in Electrical Engineering from Nanyang Technological University (NTU), Singapore. He is a prolific researcher with over 3,000 citations and numerous honors, including being listed in Stanford University’s top 2% scientists globally from 2019 to 2022. At UWA, he teaches advanced courses in smart grids and energy storage systems, mentors PhD candidates, and leads groundbreaking projects funded by prestigious organizations like ARENA and FBI-CRC. Dr. Zhang’s innovative research and patents have had a significant impact on sustainable energy solutions and the development of autonomous energy systems.

professional profiles

Google Scholar

ORCID

Scopus Profile

Education

Dr. Xinan Zhang’s educational journey showcases his dedication to advancing electrical engineering. He completed his Bachelor’s degree in Electrical Engineering and Automation at Fudan University, China, in 2008. Following this, he pursued his Doctor of Philosophy in Electrical Engineering at Nanyang Technological University (NTU), Singapore, earning his PhD in 2014. His doctoral research focused on cutting-edge advancements in power electronics and smart grid technologies. Dr. Zhang’s strong academic foundation laid the groundwork for his impactful career in academia and industry. His educational background reflects a blend of theoretical rigor and practical application, preparing him to address complex challenges in renewable energy systems and electrical machines. His continued involvement in teaching, research, and innovation highlights the transformative potential of interdisciplinary education in shaping future technologies.

work Experience

Dr. Xinan Zhang brings a wealth of experience from both academia and industry. His career began as a Research Assistant at the Chinese Academy of Sciences (2008–2010), followed by postdoctoral research roles at NTU, Singapore (2013–2015), and the University of New South Wales, Australia (2015–2017). Dr. Zhang transitioned to academic teaching and leadership as a Lecturer at NTU (2017–2019) before joining the University of Western Australia. He served as a Senior Lecturer (2019–2023) and was promoted to Associate Professor in 2023. At UWA, he has developed and taught advanced courses on energy storage systems and smart grids, mentoring over 30 PhD and Master’s students.Beyond teaching, Dr. Zhang has led high-impact projects funded by organizations such as ARENA and FBI-CRC, showcasing his ability to bridge academic research with practical solutions in energy systems, power electronics, and sustainable technologies.

Awards and Honors 🏆

Dr. Xinan Zhang’s outstanding achievements have been recognized globally. He was listed in Stanford University’s prestigious top 2% scientists in the world for four consecutive years (2019–2022). His exemplary contributions to IEEE publications earned him the Best Reviewer Award for IEEE Transactions on Smart Grids (2019–2020) and the Distinguished Reviewer Award for IEEE Transactions on Industrial Electronics (2019–2020). Dr. Zhang received the Best Paper Award at the 2019 International Conference on Smart Power & Internet Energy Systems and the Excellent Paper Award at the 2022 IEEE International Power Electronics and Application Conference. At UWA, he earned the School of Engineering Early-Career Research Award (2022) and the Teaching Award for Outstanding Contributions to Student Learning (2023). These accolades underscore Dr. Zhang’s commitment to excellence in research, teaching, and innovation, particularly in renewable energy and smart grid technologies.

Research Focus

Dr. Xinan Zhang’s research focuses on advancing sustainable energy systems through power electronics, smart grids, and energy storage technologies. His work spans the development of multi-level inverters, interleaved converters, and multi-input-multi-output energy storage systems, addressing the critical challenges of renewable energy integration. He is particularly interested in the design and optimization of microgrids and electrical machines, including synchronous, induction, and switched reluctance machines. Dr. Zhang’s research aims to enhance the efficiency, reliability, and scalability of energy systems for applications ranging from residential microgrids to industrial-scale operations.

Skills

Dr. Xinan Zhang possesses a diverse skill set at the intersection of engineering and research innovation. His technical expertise includes advanced knowledge of power electronics, energy storage systems, and smart grid design. He is skilled in developing multi-level inverters, interleaved converters, and electrical machines for high-performance energy applications. Dr. Zhang is also adept at using simulation tools and software for designing and analyzing electrical systems. His project management skills are demonstrated by his successful leadership of multimillion-dollar research projects funded by organizations like ARENA and FBI-CRC. In addition, Dr. Zhang excels in academic mentorship and curriculum development, having supervised over 30 PhD and Master’s students and co-developed courses on smart grids and energy storage systems. His strong communication, collaboration, and problem-solving abilities have positioned him as a leader in advancing renewable energy solutions and fostering innovation in the field.

Conclusion

Dr. Xinan Zhang is a highly qualified candidate for the Best Researcher Award. His groundbreaking work in electrical engineering, demonstrated leadership in securing research grants, and dedication to student mentorship set him apart. While there is potential for broader interdisciplinary collaboration and public engagement, his existing contributions already showcase a transformative impact on the field. Dr. Zhang embodies the spirit of the Best Researcher Award, advancing science and inspiring future innovations.

Publications to Noted

A sensor fault detection and isolation method in interior permanent-magnet synchronous motor drives based on an extended Kalman filter

Authors: GHB Foo, X Zhang, DM Vilathgamuwa

Citations: 395

Year: 2013

Noise-immune model identification and state-of-charge estimation for lithium-ion battery using bilinear parameterization

Authors: Z Wei, G Dong, X Zhang, J Pou, Z Quan, H He

Citations: 193

Year: 2021

Robust Circuit Parameters Design for the CLLC-Type DC Transformer in the Hybrid AC/DC Microgrid

Authors: J Huang, X Zhang, Z Shuai, X Zhang

Citations: 144

Year: 2018

Sensor fault detection, isolation and system reconfiguration based on extended Kalman filter for induction motor drives

Authors: X Zhang, G Foo, M Don Vilathgamuwa, KJ Tseng, BS Bhangu

Citations: 113

Year: 2013

Backstepping control for large signal stability of high boost ratio interleaved converter interfaced DC microgrids with constant power loads

Authors: Q Xu, W Jiang, F Blaabjerg, C Zhang, X Zhang, T Fernando

Citations: 111

Year: 2020

Deadbeat Control for Hybrid Energy Storage Systems in DC Microgrids

Authors: B Wang, U Manandhar, X Zhang, HB Gooi, A Ukil

Citations: 99

Year: 2018

A Model Predictive Current Controlled Bidirectional Three-level DC-DC Converter for Hybrid Energy Storage System in DC Microgrids

Authors: X Zhang, B Wang, U Manandhar, HB Gooi, GB Foo

Citations: 87

Year: 2018

Large-signal stability of interleave boost converter system with constant power load using sliding-mode control

Authors: W Jiang, X Zhang, F Guo, J Chen, P Wang, LH Koh

Citations: 85

Year: 2020

A Novel Assorted Nonlinear Stabilizer for DC-DC Multilevel Boost Converter with Constant Power Load in DC Microgrid

Authors: L Xiangke, Z Xinan, J Wentao, W Junjun, W Peng, W Xiaohua

Citations: 82

Year: 2020

A simple duty cycle control strategy to reduce torque ripples and improve low-speed performance of a three-level inverter fed DTC IPMSM drive

Authors: D Mohan, X Zhang, GHB Foo

Citations: 79

Year: 2016

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

Xinan Zhang | Electrical Engineering | Best Researcher Award

Assoc. Prof. Dr. Xinan Zhang | Electrical Engineering | Best Researcher Award

professional profiles

Education

work Experience

Awards and Honors 🏆

Research Focus

Skills

Conclusion

Publications to Noted

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