Koos Zevenhoven is a doctoral researcher at Aalto University's School of Science, Department of Neuroscience and Biomedical Engineering. He leads a research group focused on innovative MRI technologies, particularly ultra-low-field MRI and hybrid MEG-MRI systems. His work emphasizes portable, cost-effective medical imaging solutions and 'intelligent dynamics' techniques to solve hardware challenges. Zevenhoven's research spans MRI hardware development, signal processing, and clinical applications in neuroimaging. He has collaborated internationally, including with UC Berkeley, and has over 30 publications. His thesis, defended in 2023, addresses unconventional MRI scanner design and dynamic pulse-waveform coupling. Education: Engineering Physics and Mathematics (Aalto University) Leadership: Research group leader for 10 years during his PhD Key Projects: First prototypes of combination brain scanners for epilepsy treatment planning Patents: Dynamical pulse-waveform coupling (DynaCAN) techniques Research interests include magnetic noise reduction, sensor design, and biomedical instrumentation. His work bridges theoretical physics and practical medical applications, aiming to improve diagnostic tools' accessibility and accuracy.









