معرفی
Michel J.A.M. van Putten is a Full Professor of Clinical Neurophysiology at the TechMed Centre, University of Twente, with an h-index of 52 and 9261 Scopus citations. His research focuses on:
- EEG-based outcome prediction in post-cardiac arrest coma
- Deep learning applications for seizure and interictal discharge detection
- Neurophysiological modeling of epilepsy and traumatic brain injury
- Cultured cortical neural networks for disease mechanism inference
- AI-driven analysis of brain connectivity and excitation-inhibition balance
His work contributes to UN Sustainable Development Goals for Health and Well-being, Human-AI Interaction, and Economic Impact of AI. Recent research includes:
- 2025: Automated inference of disease mechanisms in patient-derived neuronal networks
- 2025: Expert-level deep neural network for interictal discharge detection
- 2024: Grassmann manifold methods for invariant EEG/MEG feature extraction
Scientific recognition includes:
- 2011: NVvTG Congres Prize
- 2012: Tripartite prize for Near Infrared Spectroscopy and EEG research
His datasets on EEG analysis and cortical network modeling are publicly available through Zenodo, and he has presented 17 oral presentations on topics including:
- Post-ictal brain recovery mechanisms
- Mathematical models of peripheral axons
- Ischemic cerebral damage pathways
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