Assist. Prof. Dr. Hassan M. Hussein Farh | Photovoltaic | Outstanding Scientist Award

Assist. Prof. Dr. Hassan M. Hussein Farh , Al-Imam Muhammad Ibn Saud Islamic University, Saudi Arabia

Dr. Hassan M. Hussein Farh is an Assistant Professor at Imam Mohammad ibn Saud Islamic University in Riyadh, Saudi Arabia. With a Ph.D. in Electrical Engineering from Universiti Teknologi Malaysia and King Saud University, Dr. Farh specializes in renewable energy, particularly photovoltaic energy systems, smart grid technologies, and power system reliability. He has held prestigious roles, including postdoctoral researcher at Hong Kong Polytechnic University and assistant professor at King Saud University. Dr. Farh is an active contributor to the scientific community, serving as a reviewer and guest editor for international journals. 🏫🔋🌞💡

Professional Profile

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Suitability

Dr. Hassan M. Hussein Farh is highly suitable for the Outstanding Scientist Award due to his exceptional academic achievements, groundbreaking research in renewable energy, and significant contributions to the field of electrical engineering. His work in photovoltaic energy systems, smart grid technologies, and power system reliability has had a profound impact on the energy sector, addressing critical global challenges such as sustainability and energy efficiency. Dr. Farh’s expertise is reflected in his publication record and the recognition he has received as one of the top 2% world scientists. His interdisciplinary approach, combining engineering with sustainable energy solutions, demonstrates his innovative vision and commitment to advancing scientific knowledge.🔋🌞💡

Education & Experience

Ph.D. in Electrical Engineering (2019)
- Universiti Teknologi Malaysia & King Saud University 🌏🎓
M.Sc. in Electrical Engineering (2013)
- King Saud University 📚
B.Sc. in Electrical Engineering (2006)
- Zagazig University, Egypt 🇪🇬
Assistant Professor
- Imam Mohammad ibn Saud Islamic University (Nov 2022–Present) 👨‍🏫
Postdoctoral Researcher
- Hong Kong Polytechnic University (2021–2022) 🔬
Researcher & Assistant Professor
- King Saud University (2019–2021) 🧑‍🔬

Professional Development

Dr. Hassan M. Farh has continually expanded his expertise through hands-on experience and rigorous research in the fields of renewable energy, power systems, and smart grids. He has actively contributed to international journals, focusing on photovoltaic systems and hybrid energy solutions. As a guest editor for several renewable energy special issues and a reviewer for prominent journals, he remains at the forefront of energy technology research. His ongoing professional journey is driven by a commitment to integrating cutting-edge technologies to improve energy efficiency and sustainability. 🔋🌱📘📝

Research Focus

Dr. Hassan M. Farh’s research is focused on improving renewable energy systems, with an emphasis on photovoltaic technologies and their integration into power systems. His work also explores the reliability of energy systems, hybrid energy solutions, and optimization methods for renewable generation. Dr. Farh’s research contributes to the development of smart grids and energy-efficient systems that aim to meet global energy demands while reducing environmental impacts. His work is at the intersection of electrical engineering and sustainable energy practices. 🌞🔧⚡🌍

Awards & Honors

Best BRE Outstanding Young Researcher 2021/22 – Hong Kong Polytechnic University 🏆
Top 2% World Scientists (AD Scientific Index 2022) 🌍🔝
Best Outstanding Researcher – King Saud University (2013) 🏅

Publication Top Notes

Maximum power extraction from wind energy system based on fuzzy logic control
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Citation: 223
Dynamic global maximum power point tracking of the PV systems under variant partial shading using hybrid GWO-FLC
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Citation: 218
A comprehensive review of corrosion protection and control techniques for metallic pipelines
🛠️🔬⚙️
Citation: 110
Simulation and experimental validation of fast adaptive particle swarm optimization strategy for photovoltaic global peak tracker under dynamic partial shading
🌞🐦📊
Citation: 106
A novel crow search algorithm auto-drive PSO for optimal allocation and sizing of renewable distributed generation
🖥️🌍🔄
Citation: 90

Mr. Mokhtar Jlidi , Université de Gabès , Tunisia

Mokhtar Jlidi, born on October 15, 1992, in Djerba, Mednine, Tunisia, is a highly skilled professional with expertise in automation, robotics, and electrical systems. He holds a Master’s degree in Automation and Robotic Systems from the Institut Supérieur des Systèmes Industriels de Gabès, Tunisia, where he also earned a professional Master’s in Electrical Systems Control and a Higher Technician Diploma in Electronics, Electrotechnics, and Automation. Mokhtar has gained valuable experience through various projects, including developing a speed regulation test bench for turbo-alternator groups and designing a photovoltaic generator supervision prototype. Fluent in Arabic and French with technical proficiency in English, Mokhtar is passionate about new technologies, serious, motivated, organized, and sociable. He seeks a stable position that aligns with his profile in a dynamic and motivating environment. His interests include sports, excursions, internet browsing, and staying updated with the latest technological trends.

Professional Profile:

Scopus

Education:

Mokhtar Jlidi holds a Master’s Degree in Automatic Control and Robotic Systems, as well as a Master’s Degree in Electrical System Control, both from the Institut Supérieur des Systèmes Industriels de Gabès, Tunisia. He graduated with a Mention of “Assez Bien” (Good) in December 2020 and July 2018, respectively. Prior to his master’s degrees, he completed a Higher Technician Diploma in Electronics, Electrotechnics, and Automation from the same institution in June 2016, specializing in Industrial Process Control, also with a Mention of “Assez Bien” (Good).

Work Experience:

During his academic journey, Mokhtar Jlidi undertook several internships that enriched his practical experience. At Groupe chimique tunisien de Gabès, he contributed to a project focused on studying and implementing a test bench for regulating turbo-alternator speed using the Woodward 505 regulator at the U1000 unit of the phosphoric acid plant, spanning from February 19, 2018, to May 18, 2018. Additionally, during his tenure at Institut Supérieur des Systèmes Industriels de Gabès from February 5, 2016, to April 29, 2016, he played a pivotal role in designing and developing a prototype for supervising the characteristics of a photovoltaic generator. Furthermore, Mokhtar gained valuable experience through internships at Société tunisienne d’électricité et de Gaz (STEG) at both the Tac Robbana Power Production Center and the company itself, where he honed his skills and understanding of industrial processes and electrical systems.

Publication Top Notes:

An Artificial Neural Network for Solar Energy Prediction and Control Using Jaya-SMC

Authors: Jlidi, M., Hamidi, F., Barambones, O., Aoun, M., Karami-Mollaee, A.
Published Year: 2023
Journal: Electronics (Switzerland), 12(3), 592
Citations: 5

Synthesis of an Advanced Maximum Power Point Tracking Method for a Photovoltaic System: A Chaotic Jaya Logistic Approach

Authors: Jlidi, M., Hamidi, F., Abdelkrim, M.N., Abbassi, R., Kchaou, M.
Conference: Proceedings – 2022 4th International Conference on Applied Automation and Industrial Diagnostics, ICAAID 2022
Published Year: 2022
Citations: 1