Hasan Cagatay Ciftci | Artificial Neural Networks | Best Researcher Award

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Mr. Hasan Cagatay Ciftci | Artificial Neural Networks | Best Researcher Award

Hasan Cagatay Ciftci at Erciyes University, Turkey📖

Hasan Çağatay Çiftçi, born on March 16, 1997, in Kayseri, Turkey, is a dedicated researcher in the field of Surveying Engineering. He has a strong academic background and has contributed to various studies focusing on environmental analysis, land use, and climate change impacts. Currently, he is pursuing his PhD at Erciyes University, aiming to further his research in geospatial analysis and its applications.

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Education Background🎓

  • Bachelor’s Degree: Surveying Engineering, Erciyes University, 2019
  • Master’s Degree: Surveying Engineering, Niğde Ömer Halisdemir University, 2023
  • PhD: Surveying Engineering, Erciyes University, Ongoing

Professional Experience🌱

Throughout his academic journey, Çiftçi has engaged in extensive research, contributing to both national and international scientific communities. His work includes analyzing the impacts of land use and climate change, as well as conducting spatial adequacy and accessibility analyses for urban green spaces. He has presented his findings at various international conferences and has publications in esteemed journals.

Research Interests🔬

Her research interests include:

  • Land Use and Climate Change Impacts
  • Geospatial Analysis
  • Environmental Monitoring
  • Urban Planning
  • Remote Sensing and GIS

Author Metrics

Çiftçi has authored several publications, including articles in journals indexed by SCI, SSCI, and AHCI. Notably, his article titled “Analyzing Land Use and Climate Change Impacts of Suğla Water Storage in Turkey” was published in Theoretical and Applied Climatology in 2024. He has also contributed to national refereed journals and presented papers at international scientific meetings.

Awards and Honors
  • UAV-1 Commercial Pilot Certificate
  • Basic Radio Communication (R\T) Training Certificate

These certifications complement his research, particularly in areas involving remote sensing and geospatial data collection.

Publications Top Notes 📄

1. Buffer ve Network Analiz Teknikleri Kullanılarak Kentsel Aktif Yeşil Alanlar için Mekânsal Yeterlilik ve Erişilebilirlik Analizi

  • Authors: MG Gümüş, HÇ Çiftçi, K Gümüş
  • Journal: Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi
  • Volume/Issue: 26
  • Year: 2024
  • Citations: 3*
  • Summary: This study evaluates the spatial adequacy and accessibility of urban active green spaces using buffer and network analysis techniques.

2. Analyzing Land Use and Climate Change Impacts of Suğla Water Storage in Turkey

  • Authors: HÇ Çiftçi, K Gümüş, MG Gümüş
  • Journal: Theoretical and Applied Climatology
  • Volume: 155
  • Pages: 6797–6814
  • Year: 2024
  • Citations: 2
  • Summary: This paper examines the impact of land use and climate change on the Suğla water storage system, providing critical insights into environmental changes in the region.

3. Niğde ili rüzgâr karakteristiğinin belirlenmesi

  • Authors: HÇ Çiftçi, K Gümüş
  • Conference: IV. International Turkic World Congress on Science and Engineering
  • Pages: 1050-1063
  • Year: 2022
  • Citations: 1*
  • Summary: The study determines the wind characteristics of Niğde province, analyzing its potential for renewable energy applications.

4. Determination of the Performance of Training Algorithms and Activation Functions in Meteorological Drought Index Prediction with Nonlinear Autoregressive Neural Network

  • Authors: MG Gümüş, HÇ Çiftçi, K Gümüş
  • Journal: Earth Science Informatics
  • Volume: 18 (2)
  • Page: 197
  • Year: 2025
  • Citations: N/A
  • Summary: This research evaluates various training algorithms and activation functions in predicting meteorological drought indices using a nonlinear autoregressive neural network approach.

5. Ardışık Özellik Seçiminin Hiper Optimize Edilmiş Sınıflandırıcıların Performansına Etkisi

  • Authors: HÇ Çiftçi, ÜH Atasever
  • Conference: IX. Uzaktan Algılama ve Coğrafi Bilgi Sistemleri Sempozyumu
  • Year: 2024
  • Citations: N/A
  • Summary: The paper explores the effect of sequential feature selection on the performance of hyper-optimized classifiers in remote sensing and geographic information systems applications.

Conclusion

Hasan Çağatay Çiftçi is a strong candidate for the Best Researcher Award, given his impressive research background, technical expertise, and contributions to environmental and geospatial sciences. His strengths lie in interdisciplinary research, practical applications of GIS and remote sensing, and a growing publication record.

Recommendation: To enhance his candidacy further, Çiftçi should focus on expanding his research collaborations, increasing his leadership in funded projects, and boosting his publication impact through international partnerships.

Overall, his achievements and potential make him a deserving contender for recognition as an emerging leader in the field of geospatial and environmental research.