As a passionate researcher and specialist in electrical engineering, human perception and lighting, I have spent several years exploring the interplay between visual perception and the environment. I have a bachelor's and master's degree in Human Technology Interaction, where I focused on lighting and visual perception. During my academic journey, I had the opportunity to intern at Signify/Philips Lighting and spend six months at the Munsell Color Science Laboratory (USA) as part of a student exchange program.
Currently, I am a joint PhD student at KU Leuven and the University of Technology Eindhoven, working on a cutting-edge road lighting project for Rijkswaterstaat. My research involves developing a new road lighting concept by utilizing signal processing, image processing, machine learning, and deep learning. Through my work, I aim to create a safer and more comfortable driving experience for road users.
I am an avid researcher and have published several papers in the field of human perception and lighting, including exploring the applicability of the unified glare rating for an outdoor non-uniform residential luminaire, reflection measurements and a new road marking BRDF model applicable for a wide range of incident illumination conditions, and revisiting the road marking contrast threshold model. My research has shown good agreement with existing models and has also contributed to defining contrast thresholds for several other image-based contrast models.
As a researcher, I have a keen eye for detail and enjoy working on complex problems that require a multidisciplinary approach. I am highly skilled in various technical areas, including signal processing, data analysis, image processing, and deep learning. My ability to work well in teams, communicate effectively, and my passion for innovation and research make me an asset to any team.