Rate My Professor Maarten De Vos

Maarten De Vos is an interdisciplinary BOF ZAP Associate Professor at KU Leuven, with appointments in the Faculty of Engineering Science and the Faculty of Medicine. He is a member of the Department of Electrical Engineering (ESAT), specifically the STADIUS Centre for Dynamical Systems, Signal Processing and Data Analytics, and the Department of Development and Regeneration. He also contributes to institutes including iSi Health - KU Leuven Institute of Physics-based Modeling for In Silico Health, KU Leuven Brain Institute, Leuven.AI - KU Leuven Institute for Artificial Intelligence, and KU Leuven Institute for Rare Diseases. Prior to joining KU Leuven, De Vos served as Associate Professor at the University of Oxford from 2014 to 2019 and as Junior Professor at the University of Oldenburg, Germany, from 2013 to 2014. Additional roles include visiting lecturer at Tel Aviv University in 2018, Biodesign Faculty in Training Fellow at Stanford University in 2016, and Strategic Fellow at the NZLibb Institute, University of Canterbury, New Zealand, in 2015. He completed his PhD at KU Leuven's Faculty of Engineering with the dissertation "Decomposition Methods with Applications in Neuroscience."

De Vos's research centers on biomedical data processing, artificial intelligence in healthcare, innovative health technologies, biomedical signal processing, and medical technology design. He pioneered mobile brain imaging technology, enabling reliable physiological measurements of brain and body functions in unconstrained, out-of-lab environments, and develops AI solutions for deriving personalized biosignatures of patient health within unobtrusive systems. Prominent publications encompass "Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal" (BMJ, 2020), "SeqSleepNet: end-to-end hierarchical recurrent neural network for sequence-to-sequence automatic sleep staging" (IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2019), "Joint classification and prediction CNN framework for automatic sleep stage classification" (IEEE Transactions on Biomedical Engineering, 2018), "How about taking a low-cost, small, and wireless EEG for a walk?" (Psychophysiology, 2012), and "Source separation from single-channel recordings by combining empirical-mode decomposition and independent component analysis" (IEEE Transactions on Biomedical Engineering, 2010). His achievements include awards such as the Mobile Brain Body Imaging prize (2017), Martin Black prize (2019), IEEE EMBS best paper award (2021), and the George B. Moody PhysioNet Challenge win. De Vos holds positions as Associate Editor for IEEE Journal of Biomedical and Health Informatics and editorial board member for Journal of Neural Engineering and Nature Digital Medicine.