Assoc Prof Dr . Navid Ghaffarzadeh | Engineering | Best Researcher Award
Engineering, Imam Khomeini International University, Iran
Dr. Navid Ghaffarzadeh, an Associate Professor at I.K International University in Iran, is a distinguished researcher with a strong background in electrical engineering. His academic credentials include a PhD from Iran University of Science and Technology, and he has received numerous accolades, including the 2012 IET Science, Measurement, and Technology Premium Award and multiple awards for outstanding research and teaching.Dr. Ghaffarzadeh’s research focuses on renewable energy, smart grids, power systems protection, and the application of artificial intelligence in energy systems. He has contributed extensively to the field through numerous journal publications and industry projects, demonstrating innovative approaches to power quality and system optimization.As a reviewer for high-impact journals and an advisor on industrial projects, his expertise is recognized widely. His accomplishments and contributions make him an exemplary candidate for the Best Researcher Award in recognition of his impactful work in electrical engineering and renewable energy.
Profile:
Education
Navid Ghaffarzadeh’s academic journey reflects a solid foundation in Electrical Engineering, marked by outstanding academic achievements and specialization in power systems. He completed his PhD in Electrical Engineering at Iran University of Science and Technology, Tehran, in 2011, where his research focused on advanced power system protection. Prior to his doctoral studies, he earned his Master of Science in Electrical Engineering from Amirkabir University of Technology (Tehran Polytechnic) in 2007, graduating at the top of his class with a GPA of 19.18 out of 20. He began his higher education with a Bachelor of Science in Electrical Engineering from Zanjan University in 2005, also ranking first among his peers with a GPA of 18.36 out of 20. This strong academic background laid the groundwork for his expertise in renewable energy, microgrid design, and intelligent systems, positioning him as a leading researcher in the field of electrical engineering.
Professional Experiences
Dr. Navid Ghaffarzadeh has an extensive professional background in academia and research. He began his career as an Assistant Professor at I.K International University in September 2011 and was promoted to Associate Professor in February 2018. From August 2018 to March 2022, he served as the Vice Chancellor for Research at the Faculty of Technical and Engineering, where he played a crucial role in advancing research initiatives. Following this, he was appointed Director General at the University of Applied Science and Technology from February to October 2022. Additionally, Dr. Ghaffarzadeh has been actively involved in various councils, including the Advanced Technologies Incubator Centre at I.K International University. His professional experiences reflect his leadership and commitment to fostering research and development in electrical engineering, particularly in areas related to renewable energy, smart grid technology, and power system protection, making him a key contributor to the academic community in Iran.
Research skills
Dr. Navid Ghaffarzadeh possesses a diverse range of research skills that make him a significant contributor to the field of electrical engineering. His expertise spans renewable energy systems, power quality analysis, and the application of artificial intelligence in optimizing power systems. Dr. Ghaffarzadeh has successfully led numerous research projects, including optimal solar plant placement and fault classification in photovoltaic grids, showcasing his ability to tackle complex challenges. His extensive knowledge of advanced software tools, such as MATLAB, DigSILENT, and PSCAD, enables him to conduct in-depth simulations and analyses effectively. Additionally, his experience as a reviewer for high-impact journals underscores his strong analytical skills and critical thinking abilities. Dr. Ghaffarzadeh’s ability to integrate theoretical concepts with practical applications demonstrates his commitment to advancing research in energy systems, making him a valuable asset in both academic and industrial settings
Award And Recoginition
Dr. Navid Ghaffarzadeh has received numerous accolades throughout his academic career, highlighting his exceptional contributions to the field of electrical engineering. Notably, he was awarded the prestigious IET Science, Measurement and Technology Premium Award in 2012 for his groundbreaking paper on power quality disturbances. His dedication and impact at I.K International University have been recognized multiple times, as he has been named Outstanding Researcher in 2013, 2014, 2016, and 2020, and Outstanding Professor in 2017, 2019, 2020, 2021, and 2023. Additionally, he earned the Best Iranian Ph.D. Dissertation award for his work in power system protection, showcasing his commitment to academic excellence. His consistent recognition reflects not only his research achievements but also his significant influence on students and peers, solidifying his status as a leading figure in the field of renewable energy and power system
Conclusion
Dr. Navid Ghaffarzadeh is an exemplary researcher whose academic background, honors, research achievements, and professional activities position him as a leading figure in the field of electrical engineering. His extensive contributions to renewable energy, power system protection, and intelligent systems demonstrate a commitment to advancing knowledge and solving critical challenges in the energy sector. His qualifications, impact, and recognition make him a highly suitable candidate for the Best Researcher Award.
Publication Top Notes
- Detection and classification of power quality disturbances using discrete wavelet transform and wavelet networks
Authors: MAS Masoum, S Jamali, N Ghaffarzadeh
Year: 2010
Citations: 302 - A new efficient BBO based method for simultaneous placement of inverter-based DG units and capacitors considering harmonic limits
Authors: N Ghaffarzadeh, H Sadeghi
Year: 2016
Citations: 85 - Identification of optimal features for fast and accurate classification of power quality disturbances
Authors: S Jamali, AR Farsa, N Ghaffarzadeh
Year: 2018
Citations: 80 - Optimal sizing of battery energy storage systems in off-grid micro grids using convex optimization
Authors: M Zolfaghari, N Ghaffarzadeh, AJ Ardakani
Year: 2019
Citations: 71 - A novel phaselet-based approach for islanding detection in inverter-based distributed generation systems
Authors: AT Kolli, N Ghaffarzadeh
Year: 2020
Citations: 55 - A wavelet-based method to discriminate internal faults from inrush currents using correlation coefficient
Authors: B Vahidi, N Ghaffarzadeh, SH Hosseinian
Year: 2010
Citations: 49 - Water cycle algorithm based power system stabilizer robust design for power systems
Authors: N Ghaffarzadeh
Year: 2015
Citations: 32 - Economic battery sizing and power dispatch in a grid-connected charging station using convex method
Authors: P Mirhoseini, N Ghaffarzadeh
Year: 2020
Citations: 29 - A new method for arcing fault location using discrete wavelet transform and wavelet networks
Authors: S Jamali, N Ghaffarzadeh
Year: 2012
Citations: 26 - A new phaselet-based method for detecting the power swing in order to prevent the malfunction of distance relays in transmission lines
Authors: MM Ghalesefidi, N Ghaffarzadeh
Year: 2021
Citations: 25 - An approach to detection of high impedance fault using discrete wavelet transform and artificial neural networks
Authors: B Vahidi, N Ghaffarzadeh, SH Hosseinian, SM Ahadi
Year: 2010
Citations: 23 - Adaptive single pole auto‐reclosing using discrete wavelet transform
Authors: S Jamali, N Ghaffarzadeh
Year: 2011
Citations: 22 - Adaptive single-pole auto-reclosure for transmission lines using sound phases currents and wavelet packet transform
Authors: S Jamali, N Ghaffarzadeh
Year: 2010
Citations: 20 - A novel differential protection scheme for AC microgrids based on discrete wavelet transform
Authors: AHN Tajani, A Bamshad, N Ghaffarzadeh
Year: 2023
Citations: 19 - A new protection scheme for high impedance fault detection using wavelet packet transform
Authors: N Ghaffarzadeh, B Vahidi
Year: 2010
Citations: 19