Thibault Lejemble

Thibault Lejemble is an Associate Professor at EPITA specializing in 3D data analysis. His research develops efficient algorithms for processing large point clouds from LiDAR and photogrammetry, with applications in pattern recognition, reconstruction, and GPU-accelerated computing.

Current investigations focus on curvature estimation, discrete topology, and relationships between mathematical morphology and topological data analysis.

Publications showcase innovations in point cloud processing libraries, neural networks for edge detection, and differential estimators, reflecting consistent advancement in computational geometry and real-time 3D data analysis techniques.