About
Hanna Renvall is an Assistant Professor at the Department of Neuroscience and Biomedical Engineering, Aalto University. Her academic journey includes a Master's degree in Engineering and Technology from Helsinki University of Technology (2010) and a Ph.D. in Medical and Health Sciences from the University of Helsinki (2004).
Her research interests span:
- Neuroscience
- Medical Imaging (MEG, fMRI)
- Neurological Disorders (Parkinson’s, dementia)
- Brain Network Analysis
- Evoked Potential Studies
- Signal Processing Algorithms
Recent publications focus on artifact removal in MEG data, cortical beta rhythms during movement, and AI-driven dementia risk prediction. She also contributes to advancing non-invasive brain stimulation protocols and real-world neuroscience applications.
Scientific activities include organizing the MEG Nord conference (2023), co-hosting TMS-EEG workshops, and leading projects like MoBI (mobile brain imaging for dementia risk). Her work bridges neurotechnology with clinical applications, emphasizing translational research.
