Nihat Pamuk | Electric and Electronic | Best Researcher Award

Assoc. Prof. Dr. Nihat Pamuk | Electric and Electronic | Best Researcher Award

Assoc. Prof. Dr., Zonguldak Bulent Ecevit University, Turkey 📌 

Prof. Dr. Nihat Pamuk is an Associate Professor in the Department of Electrical Electronics Engineering at Zonguldak Bülent Ecevit University. He obtained his B.Sc. in Electrical Electronics Engineering from Fırat University in 2005 and pursued his M.Sc. (2009) and Ph.D. (2012) at Sakarya University, Turkey. His expertise spans power system analysis, renewable energy, smart grids, and power quality. With a strong academic background and leadership roles, he has significantly contributed to advancing electrical engineering research and education.

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🎓 Education

Prof. Dr. Nihat Pamuk earned his B.Sc. in Electrical Electronics Engineering from Fırat University, Turkey, in 2005, where he built a strong foundation in electrical systems and circuit design. He further pursued his M.Sc. in Electrical Electronics Engineering at Sakarya University in 2009, focusing on advanced power systems and energy management. Driven by his passion for research and innovation, he completed his Ph.D. in Electrical Electronics Engineering at Sakarya University in 2012, specializing in power system analysis, renewable energy, and smart grid technologies. His academic journey has shaped his expertise in cutting-edge electrical engineering solutions.

💼 Experience

Prof. Dr. Nihat Pamuk has held various academic and administrative roles, including serving as Institute, Department, or Faculty Head at Zonguldak Bülent Ecevit University from January 2018 to April 2023. He has led major projects in power system optimization, energy management, and renewable energy technologies. His experience also includes mentoring students, organizing conferences, and collaborating on international research projects.

🔬 Research Interests

His research focuses on power system stability, renewable energy integration, smart grids, and FACTS devices. He is actively involved in energy optimization, storage systems, and high-voltage power transmission technologies. His contributions to machine learning applications in power systems and energy management have enhanced efficiency and sustainability in electrical engineering.

🏆 Awards & Recognitions

Prof. Dr. Nihat Pamuk has received multiple accolades for his outstanding contributions to electrical engineering research. His work on power systems, renewable energy, and smart grids has been recognized in various international journals and conferences. Additionally, he has played a crucial role in reviewing scientific papers for top-tier journals such as Energies, Processes, and Applied Sciences.

📚 Publications

Fault Classification and Precise Fault Location Detection in 400 kV High-Voltage Power Transmission Lines Using Machine Learning Algorithms (2025) – Processes

Hanönü (Kastamonu) Güneş Enerjisi Santralinin Farklı Simülasyon Programları ile Tasarımı ve Elektrik Enerjisi Üretim Sonuçlarının Değerlendirilmesi (2024) – Black Sea Journal of Engineering and Science

Güç sistemlerinde FACTS cihazları ve dağıtık üretim kaynakları kullanılarak gerilim kararlılığının ve yükleme kapasitesinin iyileştirilmesi (2024) – Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi

Optimal Allocation of Distributed Generations and Capacitor Banks in Distribution Systems Using Arithmetic Optimization Algorithm (2024) – Applied Sciences

Investigation of Interior Permanent Magnet Synchronous (IPMS) Machine Applications in Electrical Vehicle Engine Industry (2023) – TEM Journal

Short-Term Electrical Load Forecasting in Power Systems Using Deep Learning Techniques (2023) – Sakarya University Journal of Science

Techno-economic feasibility analysis of grid configuration sizing for hybrid renewable energy system in Turkey using different optimization techniques (2023) – Ain Shams Engineering Journal

A critical evaluation of maximum power point tracking techniques for PV systems working under partial shading conditions (2023) – Turkish Journal of Engineering

Conclusion

Prof. Dr. Nihat Pamuk is a highly qualified candidate for the Best Researcher Award due to his substantial contributions to renewable energy and power systems. His innovative research, especially in optimizing energy transmission and utilizing smart grid technologies, is commendable. Given his strong publication record and leadership experience, he stands out as a deserving nominee for this prestigious award.

 

 

Sofiia Drozd| Remote Sensing | Best Researcher Award

Ms. Sofiia Drozd| Remote Sensing | Best Researcher Award

Master’s student in the Department of Mathematical Modeling and Data Analysis at NTUU KPI, and employee at the Space Research Institute NASU-SSAU. With 4 years of experience in machine learning, remote sensing, and satellite data processing, I have contributed to projects by the World Bank, Horizon Europe, the Ministry of Education and Science of Ukraine, and the National Research Foundation of Ukraine. My expertise includes developing algorithms for environmental monitoring, land use analysis, and renewable energy assessment. I have published research in international journals and presented at various conferences.

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🔬 Research and Innovations:

Completed/Ongoing Research Projects: 8Citation Index: 3Journals Published (SCI, Scopus, etc.): 5Professional Memberships: ACM, EGU, IEEEAreas of Research:  AI and machine learning, remote sensing, satellite data processing, and GIS.

📜Self-Declaration:

I authenticate that to the best of my knowledge the information given in this form is correct and complete. At any time, I am found to have concealed any material information, my application shall be liable to be summarily terminated without notice. I have read the terms and conditions and other policies of the Awards and agree to them.

📝Publications Top Notes 

Solar energy potential mapping in Ukraine through integration of GIS, remote sensing, and fuzzy logic

Authors: Drozd, S., Kussul, N.

Journal: European Journal of Remote Sensing, 2024

 

Geospatial analysis of the potential of the territories of Ukraine for the location of solar power plants based on satellite data

Authors: Kussul, N.М., Drozd, S.Yu.

Journal: Space Science and Technology, 2024

 

Assessing damage to agricultural fields from military actions in Ukraine: An integrated approach using statistical indicators and machine learning

Authors: Kussul, N., Drozd, S., Yailymova, H., Lemoine, G., Deininger, K.

Journal: International Journal of Applied Earth Observation and Geoinformation, 2023

 

Assessing Ukrainian Territory Suitability for Solar Power Station Placement Using Satellite Data on Climate and Topography

Authors: Kussul, N., Drozd, S.

Conference: 13th International Conference on Dependable Systems, Services and Technologies (DESSERT), 2023

 

Fusion of very high and moderate spatial resolution satellite data for detection and mapping of damages in agricultural fields

Authors: Kussul, N., Drozd, S., Skakun, S., Duncan, E., Becker-Reshef, I.

Conference: 13th International Conference on Dependable Systems, Services and Technologies (DESSERT), 2023

 

Generative adversarial network augmentation for solving the training data imbalance problem in crop classification

Authors: Shumilo, L., Okhrimenko, A., Kussul, N., Drozd, S., Shkalikov, O.

Journal: Remote Sensing Letters, 2023

 

War Damage Detection Based on Satellite Data

Authors: Shelestov, A., Drozd, S., Mikava, P., Barabash, I., Yailymova, H.

Conference: International Conference on Applied Innovation in IT, 2023

 

Forecast of Yield of Major Crops in Ukraine in War Conditions 2022 Based on MODIS and Sentinel-2 Satellite Data

Authors: Kussul, N., Drozd, S., Yailymova, H.

Conference: International Conference on Applied Innovation in IT, 2023

 

Mathematical Models and Informational Technologies of Crop Yield Forecasting in Cloud Environment

Authors: Shumilo, L., Drozd, S., Kussul, N., Shelestov, A., Sylantyev, S.

Book Series: Lecture Notes in Networks and Systems, 2023

 

Detection of War-Damaged Agricultural Fields of Ukraine Based on Vegetation Indices Using Sentinel-2 Data

Authors: Kussul, N., Yailymova, H., Drozd, S.

Conference: 12th International Conference on Dependable Systems, Services and Technologies (DESSERT), 2022