I am a passionate researcher and specialist in electrical engineering, human perception, and lighting technology, with a deep interest in how visual perception interacts with the environment. In May 2024, I completed a joint PhD from KU Leuven and the University of Technology Eindhoven, where I focused on developing innovative road lighting systems for Rijkswaterstaat. My research integrated signal processing, image processing, machine learning, and deep learning to enhance road safety and improve the driving experience through advanced lighting solutions.
I hold both a bachelor's and master's degree in Human-Technology Interaction, with a strong focus on lighting and visual perception. Throughout my academic career, I gained invaluable experience during internships at Signify/Philips Lighting and through a six-month student exchange at the Munsell Color Science Laboratory in the USA, where I deepened my understanding of color science.
As of January 2024, I have joined Ellips as Lead Hardware Engineer in the Research & Development department, specializing in machine vision hardware. Ellips designs cutting-edge machines for sorting fruits and vegetables, and I now contribute to advancing their hardware solutions for this critical industry. My role involves pushing the boundaries of innovation in machine vision technology to ensure precise and efficient sorting processes.
Over the years, I have published several research papers in the field of human perception and lighting, with topics ranging from outdoor glare ratings to road marking models. My work has contributed to refining contrast threshold models and enhancing the understanding of lighting's role in human visual perception.
I thrive on solving complex, multidisciplinary problems and have strong expertise in signal processing, data analysis, image processing, and deep learning. My passion for innovation, combined with my ability to communicate effectively and collaborate in teams, drives my contributions to both academic and industrial projects.