
About
Muhammed Enes Atik is an Assistant Professor in the Department of Geomatics Engineering at Istanbul Technical University (ITU), affiliated with the Faculty of Civil Engineering. His academic roles include teaching and research supervision. He holds a PhD (2018), MSc (2016), and BSc (2011) in Geomatics Engineering from ITU. His research focuses on remote sensing, deep learning applications in geospatial data, UAV-based photogrammetry, and point cloud processing.
Education:
- PhD in Geomatics Engineering, Istanbul Technical University, 2011–2018
- MSc in Geomatics Engineering, Istanbul Technical University, 2016–2018
- BSc in Geomatics Engineering, Istanbul Technical University, 2011–2016
Research Interests: Enes Atik specializes in integrating deep learning techniques with geomatics engineering to enhance photogrammetric applications, UAV data analysis, and point cloud segmentation. His work bridges remote sensing, GIS, and computer vision to address challenges in urban planning, disaster management, and infrastructure monitoring. Key areas include:
- 3D modeling and semantic segmentation of point clouds
- Optimization of UAV-based photogrammetric workflows
- Machine learning for remote sensing image classification
- Flood susceptibility analysis using GIS and AHP
- Cultural heritage documentation via laser scanning and photogrammetry
Awards:
- IEEE GRSS Türkiye Thesis Competition Award (2022)
- Muhammed Enes Atik Prize for Student Excellence (2021)
- 3-Minute Thesis Competition Award (IEEE GRSS, 2024)
Grants & Projects:
- Principal Investigator: 'Deep Learning-Based Disparity Map Estimation and DEM Generation from UAV Imagery' (2023–2025)
- Co-Investigator: '3D Modeling of Historical Instruments' (2021–2023)
- Lead Researcher: 'Flood Simulation Using Game Engines' (2024–ongoing)
Teaching: Enes Atik instructs courses in programming fundamentals, photogrammetry, geomatics projects, and laser data engineering at both undergraduate and graduate levels.
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