Mr. Yun-Ho Kim | Electrical | Best Researcher Award

Ph.D. Candidate at Korea University of Technology & Education, South Korea

Yun-Ho Kim is a Ph.D. candidate in Electrical Engineering at Korea University of Technology & Education, specializing in DC distribution systems and power quality. he has built an impressive academic and research profile. Yun-Ho’s work focuses on advancing renewable energy integration and fault diagnosis in low-voltage and medium-voltage DC grids. His research contributions, including two impactful journal publications, have introduced innovative solutions for fault isolation and diagnosis in energy systems. With a robust foundation in electrical engineering, he is committed to driving innovation in renewable energy and grid stability. Yun-Ho’s efforts have earned him recognition in academia, with numerous collaborative projects and publications reflecting his dedication to sustainable energy technologies.

professional profiles

ORCID

Education

Yun-Ho Kim holds a Master’s degree in Electrical Engineering, during which he specialized in intelligent fault isolation devices and energy storage systems. He is currently pursuing his Ph.D. at Korea University of Technology & Education, with a focus on DC distribution systems. Yun-Ho’s academic journey has been marked by excellence, demonstrated by his research addressing renewable energy integration and the challenges of grid-connected systems. His educational pursuits have provided him with in-depth knowledge and practical expertise in developing innovative energy solutions. Yun-Ho’s commitment to academic excellence is reflected in his contributions to advanced methodologies and standards in electrical engineering, which aim to enhance the reliability and efficiency of energy systems globally.

work Experience

Yun-Ho Kim has accumulated over three years of focused experience in electrical engineering research. During his Master’s studies, he worked on projects involving intelligent fault isolation devices and energy storage systems, which laid the groundwork for his current Ph.D. research. His doctoral journey focuses on DC distribution systems, where he is developing cutting-edge solutions for fault diagnosis and renewable energy integration. Yun-Ho has been actively involved in industry-sponsored projects, contributing to field evaluation standards for energy storage systems and demonstration technologies for renewable energy microgrids. His collaborative projects have not only advanced academic knowledge but also provided practical solutions for real-world energy challenges. Yun-Ho’s expertise in power quality, DC grids, and fault diagnosis methodologies highlights his commitment to enhancing energy system reliability and sustainability.

Awards and Honors

Yun-Ho Kim’s dedication to research excellence has earned him numerous accolades and recognitions. He has received ten prestigious awards for his contributions to electrical engineering, including recognition for his innovative work in DC distribution systems and energy storage solutions. Yun-Ho has been honored for his impactful journal publications, with two papers in SCI-indexed journals and several others in Scopus-indexed publications. Additionally, he has participated in collaborative projects across three countries, earning recognition for his efforts in advancing renewable energy technologies and workforce training. His contributions to establishing technical standards for energy storage systems and DC grids have also been widely acknowledged, reflecting his leadership in driving innovation in sustainable energy systems.

Research Focus

Yun-Ho Kim’s research focuses on DC distribution systems, power quality, and renewable energy integration. His primary area of interest lies in developing intelligent fault diagnosis methodologies to enhance the reliability of energy systems. Yun-Ho’s innovative approach has resulted in significant contributions to renewable energy optimization and fault detection technologies. His work on slope-based fault current evaluation and open phase fault diagnosis in grid-connected transformers addresses critical challenges in the energy sector. Yun-Ho has also contributed to establishing technical standards for energy storage systems and medium-voltage DC grids, emphasizing safety and efficiency. His ongoing projects aim to create sustainable energy solutions by integrating renewable energy sources into self-sufficient microgrids. With a vision for transforming global energy systems, Yun-Ho continues to advance cutting-edge research in smart grids and sustainable energy technologies.

Conclusion

Yun-Ho Kim’s academic achievements, innovative research, and practical contributions to electrical engineering and sustainable energy systems make him a strong contender for the Best Researcher Award. While he excels in technical expertise and innovation, enhancing citation metrics and expanding his leadership roles could further solidify his candidacy. His potential for advancing smart grid technologies and renewable energy systems aligns with the award’s objectives, making him a deserving nominee.

Publications to Noted

Publication Title: An Implementation of Intelligent Fault Isolation Device for LVDC Distribution System Considering Slope Characteristics of Fault Current

Authors: Yun-Ho Kim, Kyung-Hwa Kim, Hyun-Sang You, Se-Jin Kim, Sung-Moon Choi, Dae-Seok Rho

Published: January 3, 2025

DOI: 10.3390/electronics14010171

Ms.Yattou El Fadili | Renewable energy | Best Researcher Award

Doctoral Student at Sidi Mohamed Ben Abdellah University, Morocco

Yattou EL FADILI is a dedicated doctoral researcher affiliated with the Faculty of Sciences Dhar El Mahraz, Sidi Mohamed Ben Abdellah University in Morocco. Her work focuses on renewable energy, with an emphasis on advanced control systems for wind turbine energy conversion. With an impressive academic background, including a B.Sc. in physics and an M.Sc. in microelectronics, signals, and systems, she has authored impactful publications and presented her research at prestigious international conferences. Her expertise spans topics like robust stability, Lyapunov stability theory, state-feedback control, and genetic algorithms, making her a promising candidate for this award.

professional profiles

Scopus Profile

ORCID

Google schoalr

Education

Yattou EL FADILI completed her Bachelor of Science in Physics with an Electronic Option in 2019 at the Faculty of Sciences Dhar El Mahraz, Sidi Mohamed Ben Abdellah University. Pursuing her passion for advanced technologies, she earned a Master of Science in Microelectronics, Signals, and Systems from the same institution in 2021. Currently, she is undertaking her doctoral studies at the Computer Science, Signal, Automation, and Cognitivism Laboratory at the Faculty of Sciences in Fez, Morocco. Her academic journey reflects a consistent focus on mastering and innovating in renewable energy systems, particularly wind energy. Yattou’s rigorous training equips her to address complex challenges in energy conversion, modeling, and control systems, blending theoretical and practical approaches to advance sustainable energy solutions.

work Experience

Yattou EL FADILI has extensive experience in renewable energy systems, particularly in wind turbine modeling and control. As a Doctoral Student at the Computer Science, Signal, Automation, and Cognitivism Laboratory, she has contributed to developing innovative control strategies, including sliding mode control, genetic algorithms, and Lyapunov stability theory. She has presented her findings at international conferences such as the International Conference on Intelligent Computing in Data Sciences and the International Conference on Circuit, Systems, and Communication. Yattou’s research publications demonstrate her ability to combine theoretical rigor with practical applications. She is also proficient in designing state-feedback controllers for uncertain systems and optimizing energy systems using fractional calculus. Her collaborative work with peers in multidisciplinary teams has further enriched her expertise in renewable energy and control systems.

Awards and honors

While specific awards and honors are not listed in her profile, Yattou EL FADILI’s contributions to renewable energy research and robust control systems have been recognized through invitations to present at esteemed international conferences. Her papers have been published in high-impact journals, reflecting the academic and professional community’s acknowledgment of her innovative work. Her studies on advanced control strategies for wind turbines, robust state-feedback controllers, and Lyapunov stability approaches have established her as a rising researcher in the field of renewable energy systems. Yattou’s proactive engagement in multidisciplinary collaborations highlights her potential for future accolades in both academia and industry.

Research Focus

Yattou EL FADILI’s research centers on renewable energy, with a strong emphasis on wind turbine control and energy conversion systems. Her work explores the modeling, design, and optimization of controllers using advanced techniques such as sliding mode control, fractional calculus, and Lyapunov stability theory. A significant aspect of her research involves addressing uncertainties in system dynamics through robust state-feedback control. Yattou is also engaged in the design of intelligent systems that incorporate genetic algorithms and neural networks to enhance the efficiency and reliability of wind energy applications. Her interdisciplinary approach integrates physics, electronics, and automation to develop sustainable energy solutions, contributing to global efforts in combating climate change. Her research outputs aim to bridge the gap between theoretical advancements and practical implementation in renewable energy technologies.

Skills

Yattou EL FADILI possesses a diverse skill set spanning renewable energy systems, control theory, and robust system design. Her expertise includes:

Advanced Control Strategies: Sliding mode control, Lyapunov stability theory, fractional calculus, and genetic algorithms.
Renewable Energy Systems: Wind turbine modeling and control, energy conversion systems.
Robust Stability: State-feedback controllers for uncertain systems and singular systems.
Intelligent Systems: Neural networks, optimization techniques for energy efficiency.
Software Proficiency: MATLAB, Simulink, and specialized engineering tools for simulation and control system design.
Interdisciplinary Collaboration: Working with teams across automation, signal processing, and cognitive sciences to innovate energy solutions.

Conclusion

Yattou EL FADILI’s innovative research, academic rigor, and contributions to renewable energy make her a strong contender for the Best Researcher Award. While there is room for broader impact through collaborations and diversification, her achievements are noteworthy and align with the values of the award. Recognizing her work would promote advancements in sustainable energy and inspire emerging researchers globally.

Publications to Noted

Optimal Controller Design for Wind Turbine Using Sliding Sector and Genetic Algorithms
Authors: Y. El Fadili, Y. Berrada, I. Boumhidi
Citation: 4
Year: 2023

Robust Performance of Uncertain System Based on Lyapunov Functions Using Non–Monotonic Terms
Authors: Y. El Fadili, A. Hmamed, B. Boukili, I. Boumhidi
Citation: 4
Year: 2022

Novel Control Strategy for the Global Model of Wind Turbine
Authors: Y. El Fadili, Y. Berrada, I. Boumhidi
Citation: 3
Year: 2024

Improved Sliding Mode Control Law for Wind Power Systems
Authors: Y. El Fadili, Y. Berrada, I. Boumhidi
Citation: 2
Year: 2024

A Novel Combination of Sliding Mode, Fractional Calculus, and Genetic Algorithm to Improve the Performance of a Controller in a Wind Power Application
Authors: Y. El Fadili, B. Youssef, B. Ismail
Citation: 1
Year: 2024

An Advanced Control Law Combining Sliding Mode and Fractional Calculus for Wind Energy Conversion Systems
Authors: Y. El Fadili, Y. Berrada, I. Boumhidi
Citation: 1
Year: 2024

New Design of an Intelligent Electromagnetic Torque Controller Based on Neural Network and Fractional Calculus: Variable-Speed Wind Energy Systems Application
Authors: Y. El Fadili, B. Ismail
Citation: N/A
Year: 2024

Robust State‐Feedback Controller of Uncertain Systems Based on Non‐Monotonic Approach
Authors: Y. El Fadili, B. Boukili, M. N’Diaye, I. Boumhidi
Citation: N/A
Year: 2024

Yun-Ho Kim | Electrical | Best Researcher Award

Mr. Yun-Ho Kim | Electrical | Best Researcher Award

professional profiles

Education

work Experience

Awards and Honors

Conclusion

Publications to Noted

Yattou El Fadili | Renewable energy | Best Researcher Award

Ms.Yattou El Fadili | Renewable energy | Best Researcher Award

professional profiles

Education

work Experience

Awards and honors

Research Focus

Skills

Conclusion

Publications to Noted

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