Ismail Ghalif Shahid

Taylor's University

Papers

1

Total Citations

4

H-Index

1

About

Ismail Ghalif Shahid is a researcher specializing in photogrammetry, 3D mapping, and unmanned aerial vehicle (UAV) applications. His most-cited work, "Fast 3D Mapping Solution with UAV" (2023), advances the use of Structure from Motion (SfM) algorithms to rapidly generate 3D structures from 2D aerial imagery, addressing critical needs in digital and robotics industries. With 4 citations, this paper demonstrates his contribution to efficient, real-world mapping solutions. Shahid’s research bridges the gap between UAV technology and 3D reconstruction, enabling faster, more accurate spatial data acquisition for applications in surveying, autonomous navigation, and environmental monitoring. His work is notable for its practical focus on speed and scalability, making advanced mapping accessible for field deployment. As a rising voice in geospatial engineering, Shahid continues to explore how drone-based photogrammetry can transform digital twin creation and robotic perception, positioning him as a promising contributor to the future of automated 3D modeling.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Fast 3D Mapping Solution with UAV
4 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Taylor's University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago