Université de Liège

Abderrazzaq Kharroubi

PhD in geomatics, contributor to research projects on 3D point clouds.

Cohort 1

Cohort 3

Cohort 04

Build a production-grade AI pipeline for 3D point clouds.

Cohort 01

Cohort 02

You'll learn how to process 3D point cloud data using CloudCompare.

4-week hands-on training on AI-based classification of airborne LiDAR point clouds, focused on power line corridor segmentation. Covers the full pipeline from raw LAS processing through feature engineering, Random Forest, RandLA-Net deep learning, to post-processing and vegetation clearance computation.

AI4LiDAR

Cohort 03

Engineers and engineering leaders who build, deploy, and scale software systems.

Data scientists who apply statistical and ML techniques to extract insights from data.

Building, training, and deploying machine learning models — from classical ML to deep learning.

PhD in Geomatics · LiDAR & AI Specialist

PhD in Geomatics, LiDAR & AI specialist

LiDAR Point Clouds Processing in QGIS

Software Engineer

Applying AI tools and techniques to professional workflows — assign alongside more specific AI topics.

Build a production-grade AI pipeline that classifies LiDAR corridors end-to-end and delivers ASPRS LAS files that clients can use.

AI for LiDAR Point Cloud Classification

GIS engineer 

IAV Hassan II

What this is:

Who this is for:

What you get:

Also included:

1-on-1 expert session to help your surveying firm start automating point cloud processing with AI.

Abderrazzaq Kharroubi will automate your 3D point clouds workflow