Staging environment
Abderrazzaq Kharroubi

Abderrazzaq Kharroubi

1.2K Subscribers

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

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Abderrazzaq Kharroubi will automate your 3D point clouds workflow

Hi, I’m a researcher at the University of Liège, where I work every day with 3D point clouds, LiDAR data, and tools like CloudCompare, QGIS, and Python.

In the past few years:

  • I have processed large LiDAR datasets from Belgium’s railway network

  • I have shared my work at international conferences

  • I have built custom tools to clean, classify, and visualise 3D data

  • I have taught over 1,000 students online and helped them get real results

  • I have built a LinkedIn community of over 11,500 people around 3D data and geomatics

Now I want to help you build real skills, fast, and get the results you need.

Currently at
Université de Liège

Alumni reviews

Zouhair

Live cohort
It has been a great experience working with Abder on several scientific and technical projects, including collaborations with public administrations and companies in Belgium. Through these experiences, I’ve seen firsthand his strong technical expertise in LiDAR point cloud processing, as well as his ability to share his knowledge with clarity and great teaching skills. He has a real talent for making complex methods easier to understand and, most importantly, showing how to apply them in practice. His multidisciplinary background in surveying and geomatics also gives him a broad perspective, combining both scientific and practical aspects. Beyond his technical skills, I also really appreciate his human side, his availability, and his willingness to share his knowledge and support others, particularly students working on their final projects. I highly recommend this course to anyone looking to build strong, practical skills in LiDAR data processing with QGIS.

Imane

Live cohort
Researcher · University of Liège

LiDAR Point Clouds Processing in QGIS

I have had the pleasure of working with Abderrazzaq (Abder) as a colleague and seeing firsthand both his strong expertise in LiDAR and point cloud processing and, equally importantly, his ability to make complex technical concepts clear and accessible. His course on LiDAR Point Clouds Processing in QGIS reflects exactly that combination of scientific expertise, practical experience, and passion for knowledge sharing. Abderrazzaq has extensive hands-on experience working with large-scale point cloud datasets and developing practical workflows for their processing, analysis, and visualization. What I particularly appreciate about his work is his ability to bridge research and practice, turning advanced geomatics methods into workflows that can actually be understood, reproduced, and applied. I would definitely recommend this course to anyone interested in strengthening their practical skills in LiDAR, point cloud processing, and 3D geospatial data using QGIS. Congratulations, Abderrazzaq, on putting together this course and for continuously sharing your expertise with the geomatics community!

Angelo

Live cohort
Software Engineer · MDM Team Srl

LiDAR Point Clouds Processing in QGIS

The course was extremely comprehensive and provided an excellent introduction to the manipulation and analysis of 3D data using CloudCompare and QGIS. The topics were presented clearly and in depth, providing a solid understanding of the main tools and techniques for processing 3D data. The professor demonstrated incredible availability throughout the entire course, always being willing to answer questions and provide support whenever needed. His knowledge of the subject is truly impressive and contributed greatly to making the course both interesting and comprehensive. Overall, it was a very positive learning experience, and I would highly recommend this course to anyone interested in learning about 3D data processing and analysis.

Insaf

Live cohort
GIS engineer · Cassia Technologies

AI for LiDAR Point Cloud Classification

A very interesting, application-oriented training course, Thank you