Ms. Feride Secil Yildirim | Deep Learning | Best Researcher Award

Ms. Feride Secil Yildirim | Deep Learning | Best Researcher Award

Feride Secil Yildirim at Karadeniz Technical University, Turkey

Profiles

Orcid

Research Gate

Summary

Passionate about Geomatics Engineering, Ms. Feride Secil Yildirim is a PhD student at Karadeniz Technical University, specializing in photogrammetry and advanced deep learning techniques.

Education

  • Bachelor’s Degree (2017-2021): Geomatics Engineering, Karadeniz Technical University (Graduated with High Honors)
  • Master’s Degree (2022-2024): Geomatics Engineering, Karadeniz Technical University (Specialization in Photogrammetry)
  • Doctoral Studies (2024-Present): Geomatics Engineering, Karadeniz Technical University

💼 Professional Experience

Ms. Feride has completed four research projects and is currently involved in two ongoing projects, including a TÜBİTAK 1001/2024 initiative focused on developing a new algorithm for automatic adjustment of building boundary geometries from point cloud data. 

🔬 Research Interests

Her primary research interests encompass deep learning, image processing, and machine learning, with notable publications in Q1 journals, including her work on “FwSVM-Net: A Novel Deep Learning-Based Automatic Building Extraction from Aerial Images.” 🔍

 

Publication

FwSVM-Net: A novel deep learning-based automatic building extraction from aerial images

  • Authors: Feride Secil Yildirim, Fevzi Karsli, Murat Bahadir, Merve Yildirim
  • Journal: Journal of Building Engineering
  • Year: 2024

Mr. Xiaoyu Li | Deep Learning | Best Researcher Award

Mr. Xiaoyu Li, Deep Learning, Best Researcher Award

Xiaoyu Li at Beijing Forestry University, China

Professional Profile

🌟 Summary:

Xiaoyu Li is a university student at Beijing Forestry University’s School of Soil and Water Conservation. His research focuses on Remote Sensing & GIS, Image Processing, Land Use, Transportation, UAV utilization, and Ecology. He has contributed to national-level scientific projects, including the Qinghai-Tibet Plateau expedition, and has authored publications in prestigious journals. His work includes assessing human living environments, controlling soil erosion, and studying sediment connectivity and erosion dynamics. Xiaoyu Li has pioneered large-scale land use classification in northwestern China using UAV remote sensing and has contributed to understanding vegetation changes in the Qinghai-Tibet Plateau.

🎓 Education:

Currently pursuing studies at Beijing Forestry University, College of Soil and Water Conservation.

💼 Professional Experience:

Engaged in multiple national-level research projects focusing on environmental assessment, soil erosion control, and watershed dynamics.

🔬 Research Interests:

  • Remote Sensing & GIS
  • Image Processing and Analysis
  • Land Use and Transportation
  • UAV (drone) utilization and Ecology

📖 Publications Top Noted:

Paper Title: Land-Use Composition, Distribution Patterns, and Influencing Factors of Villages in the Hehuang Valley, Qinghai, China, Based on UAV Photogrammetry
  • Authors: Xiaoyu Li, Zhongbao Xin
  • Journal: Remote Sensing
  • Year: 2024