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. ๐Ÿ…๐Ÿ“˜โœจ

Publication Profile

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Education ๐ŸŽ“

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. ๐Ÿ“Š

Professional Experience ๐Ÿข

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. ๐Ÿ’ผ

Awards and Honors ๐Ÿ†

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. ๐ŸŒŸ

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. ๐Ÿ“ˆ๐Ÿ”‹๐ŸŒ

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 โšก
  • 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 ๐ŸŒฌ
  • 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 ๐Ÿ”
  • 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 ๐Ÿ“‰
  • Identifying the voltage sags vulnerability area with considering FACTS devices – 2020 28th Iranian Conference on Electrical Engineering (ICEE), 1-5, 2020 – Cited by 7 ๐Ÿ”Œ
  • 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 ๐Ÿ’ก
  • Multiโ€criteria decisionโ€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 โ˜€๏ธ
  • 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 ๐Ÿ“Š
  • Technical and Economic Analysis of Voltage Sags Mitigation Methods – 2022 30th International Conference on Electrical Engineering (ICEE), 305-309, 2022 – Cited by 1 ๐Ÿ’ผ
  • Optimal harmonic resonance monitoring in electrical network considering area of harmonic pollution and system uncertainty – IET Generation, Transmission & Distribution, 2024 – ๐Ÿ›