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Category: Data science

Dynamic Pairwise Wake Vortex Separations For Arrivals Using Predictive Machine Learning Models

Aircraft wake behaviour and meteorological information is monitored and processed using ML algorithms which determine the wake separation minimum reductions that can be safely applied between subsequent arriving aircraft.

Internships 2023

This document presents internships supervised by our software engineering department or by our research & development department. Each project is an opportunity to feel both empowered and responsible for your

AI For Aviation

Our team works with EUROCONTROL and WaPT to safely reduce wake separation between flights. Read on to read more about the two papers they recently published!

We Collaborate on the TAUDoS Project

We started a new collaboration with Aix-Marseille University, Montreal University, Nantes University, and St-Etienne on a four-year project called TAUDoS, which focuses on Trustful AI.

Calibrate to Interpret

Trustworthy machine learning is driving a large number of the ML community works in order to improve ML acceptance and adoption. In this paper, we show a first link between

Master Thesis Offers 2022-2023

We offer master thesis supervised by our research & development department. Each project is an opportunity to feel both empowered and responsible for your own professional development and for your

Congrats, Dr Ciortan!

We are super proud of our colleague Madalina who defended two weeks ago her PhD at the Université libre de Bruxelles. She studied unsupervised analysis of RNA sequencing protocols data,

Discover Our Trainings

To share our technological knowledge with our academic and business partners and our customers, we propose tailor-made practical or applied workshops. We challenge our trainees' everyday experiences with emerging digital

INTERNSHIPS 2022

This document presents internships supervised by our software engineering department or by our research & development department. Each project is an opportunity to feel both empowered and responsible for your

Multimodal Classifier For Space Target Recognition

We propose a multi-modal framework to tackle the SPARK Challenge by classifying satellites using RGB and depth images. Our framework is mainly based on Auto-Encoders to embed the two modalities