Aimad el Issaoui

Aimad el Issaoui is a Doctoral Researcher at Aalto University's T213 Built Environment unit, specializing in geoinformatics and laser scanning technologies. His work focuses on integrating advanced sensing systems with deep learning applications for infrastructure and environmental monitoring.

His research spans multiple domains:

• Infrastructure Analysis: Pavement distress detection, road rut measurement using mobile/terrestrial laser scanning
• Environmental Monitoring: Forest health assessment, UAV-based canopy mapping, tree water stress analysis
• 3D Mapping: Semantic point cloud segmentation, ALS/MLS integration, indoor scanning methodologies

The publications reveal a consistent focus on improving accuracy and efficiency in spatial data processing across civil engineering and ecological contexts. He has contributed to advancements in:

• Real-time localization systems
• Deep learning approaches for point cloud analysis
• Multiscale forest observation techniques
• 3D indoor/outdoor environment modeling