Marina Guindi | Electrical Engineering | Best Researcher Award

Ms. Marina Guindi | Electrical Engineering | Best Researcher Award

Ms. Marina Guindi, American University of Kuwait, Kuwait

Based on the information provided, Ms. Marina Guindi appears to be a strong candidate for the Best Researcher Award due to her academic excellence, teaching experience, and involvement in research projects in electrical engineering. Below is an evaluation of her qualifications organized under relevant titles:

Publication profile

Academic Excellence 🎓

Marina Guindi has a solid educational background in electrical engineering, having completed her Bachelor of Engineering at the American University of Kuwait with high honors (Magna Cum Laude) and consistently placed on the Dean’s and President’s honor lists. Her academic journey continued with a Master of Science in Electrical Engineering from Kuwait University, graduating with distinction. These achievements demonstrate her commitment to academic excellence and intellectual growth.

Teaching Experience 🏫

Marina has accumulated significant teaching experience as a Teaching Assistant at Kuwait University and the American University of Kuwait. This experience, spanning multiple years and institutions, highlights her ability to convey complex concepts, engage students in the learning process, and contribute to academic environments. Her role as a teaching assistant also suggests strong communication and leadership skills, which are vital for a researcher.

Research Projects 🔍

Marina has demonstrated her research capabilities through her senior capstone project on “Motor Current Signature Analysis for Fault Detection in Induction Motors” and her master’s thesis focused on the “Optimal Location and Sizing of Renewable Distributed Generations and Electric Vehicle Charging Stations.” Both projects are highly relevant to contemporary challenges in electrical engineering, showcasing her ability to address complex technical problems and contribute innovative solutions.

Technical Skills 💻

Marina is proficient in various technical tools and programming languages, including MATLAB, Simulink, LabVIEW, PSpice, and Java. Her skills in using specialized software like Multisim, Ultiboard, and Quartus indicate her readiness to engage in advanced research and development projects. These competencies enhance her ability to carry out sophisticated analyses and simulations, which are essential for cutting-edge research.

Publication Top Notes  

Optimal Location and Sizing of Renewable Distributed Generations and Electric Vehicle Charging Stations

Signature Analysis as a Medium for Faults Detection in Induction Motors

Conclusion 🏆

Marina Guindi’s academic achievements, teaching experience, research projects, and technical skills make her a compelling candidate for the Best Researcher Award. Her background suggests a strong potential for future contributions to electrical engineering research, particularly in the areas of renewable energy integration and fault detection systems. Her commitment to education and research excellence aligns with the criteria typically sought for such prestigious recognition.

 

Sina Shakeri | Electrical Engineering | Best Researcher Award

Dr. Sina Shakeri | Electrical Engineering | Best Researcher Award

Dr. Sina Shakeri, Shahid Bahonar University of Kerman, Iran

Dr. Sina Shakeri, Ph.D. in Electrical Engineering (Power) from Shahid Bahonar University of Kerman, specializes in power quality and system monitoring. His notable projects include evaluating power quality at Miduk Copper Complex and investigating harmonic contributions in Kerman’s electrical network. Dr. Shakeri is a prolific author with several publications in esteemed journals and conferences. He serves as a reviewer for multiple high-impact journals and conferences. Additionally, Dr. Shakeri has held significant roles, including CEO of Nikan Structure Karmania and lecturer at Shahid Bahonar University of Kerman. 🏅📘✨

Publication Profile

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Education 🎓

Dr. Sina Shakeri earned his Ph.D. and M.Sc. in Electrical Engineering (Power) from Shahid Bahonar University, Kerman, Iran. His doctoral thesis focused on evaluating and improving voltage sag vulnerability and harmonic pollution for sensitive non-linear loads. 📊

Professional Experience 🏢

Dr. Shakeri has held roles such as CEO and Vice-Chairman at various companies. He has also served as a lecturer and teaching assistant at Shahid Bahonar University, Kerman. 💼

Awards and Honors 🏆

He has received multiple awards from the National Elite Foundation of Iran and has been recognized as one of the top researchers at Shahid Bahonar University. 🌟

Research Focus

Dr. Sina Shakeri’s research primarily focuses on power quality, voltage sag vulnerability, and harmonic pollution in electrical engineering. His work involves designing passive harmonic filters for large industries, assessing voltage sags with considerations for wind turbine capabilities, and monitoring power quality in the presence of harmonic resonances. Dr. Shakeri also explores the optimal placement of power quality monitors and the integration of renewable energy sources in power systems. His contributions aim to enhance the reliability and efficiency of electrical networks, ensuring stable and clean power delivery. 📈🔋🌐

Publication Top Notes

  • Passive harmonic filter design considering voltage sag performance-applicable to large industries – IEEE Transactions on Power Delivery 37 (3), 1714-1722, 2021 – Cited by 33 ⚡
  • Determining accurate area of vulnerability for reliable voltage sag assessment considering wind turbine ride-through capability – International Journal of Electrical Power & Energy Systems 119, 105875, 2020 – Cited by 18 🌬
  • Voltage sag assessment considering low voltage ride-through requirement for wind turbines based on SARFI index – 2019 27th Iranian Conference on Electrical Engineering (ICEE), 470-474, 2019 – Cited by 12 🔍
  • Optimal power quality monitor placement to ensure reliable monitoring of sensitive loads in the presence of voltage sags and harmonic resonances conditions – Electric Power Systems Research 212, 108623, 2022 – Cited by 11 📉
  • Identifying the voltage sags vulnerability area with considering FACTS devices – 2020 28th Iranian Conference on Electrical Engineering (ICEE), 1-5, 2020 – Cited by 7 🔌
  • Improving the area of harmonic pollution and vulnerability to voltage sag for compatible and reliable operation of sensitive harmonic loads – IET Generation, Transmission & Distribution 16 (19), 3951-3965, 2022 – Cited by 6 💡
  • Multi‐criteria decision‐making approach for optimal and probabilistic planning of passive harmonic filters in harmonically polluted industrial network with photovoltaic resources – IET Renewable Power Generation 17 (11), 2750-2764, 2023 – Cited by 4 ☀️
  • Probabilistic optimal planning of passive harmonic filters in distributed networks considering possible network configurations with high penetration of non-linear loads – AUT Journal of Electrical Engineering 55 (2), 207-224, 2023 – Cited by 2 📊
  • Technical and Economic Analysis of Voltage Sags Mitigation Methods – 2022 30th International Conference on Electrical Engineering (ICEE), 305-309, 2022 – Cited by 1 💼
  • Optimal harmonic resonance monitoring in electrical network considering area of harmonic pollution and system uncertainty – IET Generation, Transmission & Distribution, 2024 – 🛠