This project aims to gain insight into the factors that lead to degradation of the turbine blades of
offshore wind farms, in particular the erosion of the attack edge, which is related to the material fatigue by impact of
precipitation and ligh...

Air pollution has become a world-wide concern due to its negative impact on the population's health and well-being. To mitigate its effects, it is essential to accurately monitor pollutant concentrations across regions and time. Traditio...

Deep neural networks achieve high performance in many signal processing tasks. However, they are often considered as black-box models. To address this issue, there is a growing interest in developing interpretable models, along with methods to e...

Deep neural networks (DNNs) have shown tremendous performance improvement in a wide range of applications. However, they have
one important shortcoming: they are often considered as black boxes, as their inner processes and generalization capabili...

The project aims at developing a multilane traffic monitoring system for vehicle recognition, tracking and situational classification based on a multi-modal, visual network of distributed colour, grayscale, Lidar and radar cameras along the road.

Surgery remains an effective treatment for many cancers and is often the only curative treatment option. During surgery, it is very important that all malignant tissue is removed but also that vital structures are left intact. Recognizing the maligna...

Free viewpoint (multiview) video aims at enabling virtual navigation in a dynamic 3D scene from arbitrary camera locations and orientations. The associated technologies also signify the solution to the problem of providing genuinely immersive “gl...

IOF-NLITE: A consortium has been set up consisting of Prof. Tony Lahoutte, Prof. Sophie Hernot, Prof. Maarten Kuijk and Dr. Hans Ingelberts to bring together multidisciplinary and complementary expertise on the development, validation and clini...