Team of Catholic University of Leuven

Professor

Maarten De Vos is Professor in the Departments of Engineering and Medicine at KU Leuven after being Associate Professor at the University of Oxford (UK) and Junior Professor at the University of Oldenburg (Germany). Since the start of his career, he focused on improving data science approaches for various healthcare applications. Currently, his Artificial Intelligence (AI) solutions are used in various hospital departments, ranging from neonatology to elderly care. His pioneering research has won several innovation prices, among which the KVAB Technical Sciences Junior Career Award (2023), prestigious Mobile Brain Body monitoring prize (2017), the Martin Black Prize for the best paper in Physiological Measurements (2019) and in the IEEE EMBS Benelux award for best paper in the biomedical field (2021). He also received the early career prize for his technical contributions in 2023 from KVAB, He has a strong interest in translational research, and advises various healthcare spin-off companies (e.g. Circadian Therapeutics, Albus Health, ArtiQ) on how to embed AI solutions in their product portfolio. He is associate editor for IEEE Journal of Biomedical Health Informatics and on the editorial board for Journal of Neural Engineering and he coordinates the online course (MOOC) on AI in healthcare.

Christos Chatzichristos is a Postdoctoral Researcher currently affiliated with the department of Electrical Engineering (ESAT) of KU Leuven, Belgium. He also collaborates with Flanders AI Academy as an academic Artificial Intelligence (AI) expert and (co-) organizes different courses for AI in healthcare domain. His research interests are biomedical signal processing, Blind Source Separation (BSS) and AI, with a special focus on seizure prediction and use of Real-World Data in oncology. He gained his PhD in 2019 entitled “Functional Neuroimaging data characterization via tensor representations” from the Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Greece. During his PhD he tackled the problem of multimodal fusion of signal (EEG and fMRI) and the integration of multiple sources of vital signals with the use of tensors and was author of a book chapter for “Multimodal fusion with Tensors”, presenting the relevant work. He was awarded a Marie Curie Skolodowska fellowship for the completion of his PhD research. Christos obtained a MSc in Biomedical Engineering from KUL and a Diploma (MSc equivalent) in Electrical and Computer engineering from the Aristotle University of Thessaloniki, Greece. He has been the first author of multiple papers and has received the best paper award in IEEE SPMB 2020, and the best poster award in EURASIP Tensor-based signal processing school 2018. In 2020, he won the first price in the world-wide Neureka Challenge for seizure detection.