Khalil Ben Fadhel

Graduated from the Research Group in Machine Learning at Laval University with a master's degree in computer science, Khalil is specialized in ensemble methods, in which a number of low performance but simple and understandable machine learning solutions are combined intelligently to collaborate and produce a better and highly efficient algorithm.

In particular, he is interested in algorithms that automatically process and interpret sensor data, including images, signals, graphs, and point clouds obtained from scanners or reconstructions.

In addition to his experience with computer vision algorithms, Khalil has successfully conducted innovative projects for companies in the private and public sectors, as well as in creating relevant data representations for specific tasks.