Projects
Safe adoption of machine learning in cybersecurity applications KU Leuven
Over the past few years, the number as well as the sophistication of security threats has been increasing. State-of-the-art security analytics solutions are therefore increasingly depending on machine learning methods to distinguish malicious from normal behavior in diverse contexts. However, with the use of machine learning for security applications on the rise, so are the attacks of cyber- criminals on these methods. Furthermore, there is ...
EcoFlow: Understanding water and heat flow in Ecotrons Hasselt University
An exploration of theories, models and concepts to formulate HCI guidelines for the realization of medical, shared decision making systems. Hasselt University
Artificial Intelligence Data Analysis KU Leuven
AIDA brings a transformational innovation to the analysis of heliophysics data in four steps.
First, AIDA will develop a new open source software called AIDApp written in Python (a free language) and capable of
collecting, combining and correlating data from different space missions. AIDApp wants to replace mission-specific tools
written for costly languages (such as IDL) that exclude many scientists, students and amateur space ...
End-User Visual Programming Techniques for Developing Sensor-Based System Hasselt University
3D audio personalization for virtual reality applications. University of Antwerp
Design Framework for flexible assembly with operator VR validation Hasselt University
AirLeakSLAM: On-line detection of pressured-air leaks in industrial environments using passive and active ultrasonic sensing. University of Antwerp
Digital signal processing algorithms for long-reach DSL deployment KU Leuven
Extending the reach of DSL services (VDSL2, G.FAST, G.mgFAST) into previously unserved areas requires additional physical layer signal processing algorithms, to compensate for longer channel impulse responses that are otherwise no longer compatible with the used modulation formats. The project is aimed at developing such signal processing algorithms, in particular for channel shortening in combination with current multi-user vectoring schemes ...