Maarten De Vos

Research

Decomposition techniques with applications in neuroscience

A glimpse of past and ongoing projects is listed on https://cibim.eng.ox.ac.uk​.  

This will be updated soon

Current research team

Lennert Beeckmans, Miguel Bhagubai, Marta Bono, Christos Chatzichristos, Ahmed Elmahy, Guido Gagliardi, Michiel Ghesquiere, Elisabeth Heremans, Tim Hermans, Helene Huts, Angeliki-Ilektra Karaiskou, Bavo Kempen, Konstantinos Kontras, Congting Lai, Joran Michiels, Phu Nguyen, Georgios Rousis, Lore van Santvliet, Kenneth Verstraete, Zhijun Xiao, Jingwei Zhang

Biography

Maarten De Vos has a joint appointment as Associate Professor in the Departments of Engineering and Medicine at KU Leuven after being Associate Professor at the University of Oxford, United Kingdom, and Junior Professor at the University of Oldenburg, Germany. He obtained an MSc (2005) and PhD (2009) in Electrical Engineering from KU Leuven, Belgium. His academic work focuses on AI for health, innovative biomedical monitoring and signal analysis for daily life applications, in particular the derivation of personalised biosignatures of patient health from data acquired via wearable sensors and the incorporation of smart analytics into unobtrusive systems. 

His pioneering research in the field of mobile real-life brain-monitoring has won several innovation prices, among which the prestigious Mobile Brain Body monitoring prize in 2017. In 2019, he was awarded the Martin Black Prize for the best paper in Physiological Measurements.

He has a strong interest in translational research and co-founded Circadian Therapeutics with the aim to bring innovative home-monitoring solutions to people suffering from sleep and circadian disorders. He has been guest editor for International Journal of Clinical Neurophysiology and Physiological Measurements. To date, he has (co-)supervised and supervised 10 PhD students to completion.

Active projects

• Characterization of brain-brain and brain-body interactions in the context of stress regulation and meditation: New perspectives for the development of biofeedback protocols assisting meditative practice
• Deep, personalized epileptic seizure detection
• Supporting the development of self-regulation in infants: a promising strategy in preventive mental health care
• AI for PM - Artificial Intelligence (AI) for data-driven personalised medicine
• AI-4-NICU - Maximising impact of multidisciplinary research in early diagnosis of neonatal brain injury.
• AI-PROGNOSIS - Artificial intelligence-based Parkinson’s disease risk assessment and prognosis
• DADS - Dissecting agitation in dementia by multimodal sensing (DADS)
• FAIR 2-0 - AI Research Program
• InSilicoHealth - InSilicoHealth- Training the virtual twin professionals to support healthy ageing
• NEONAID - Neonatal Online Neuro-Analysis for Interpretation and Decision-support - Bringing automated neonatal monitoring to the bedside
• PHASE IV AI - Privacy compliant health data as a service for AI development

Finished projects

• Prevalentie van epilepsie en slaapstoornissen in de ziekte van Alzheimer.
• FAIR - AI Research Program
• INFANS - INtegrating Functional Assessment measures for Neonatal Safeguard
• SeizeIT2 - Discreet personalized epileptic seizure detection device
• SmartCare - Smart Care

Awards

• SmartCare interdisciplinary project - BIR&D award
• laureate KVIV engineering prices 2006

Membership

• Laureate of the Royal Flemish Academy of Belgium for Sciences and Arts (KVAB) in the Class of Technical Sciences. since October 2023
• 2023 Laureate of the Royal Flemish Academy of Belgium for Sciences and Arts (KVAB) in the Class of Technical Sciences since October 2023

Publications