Dr Joël Karel (J.M.H.)

Joël Karel is an associate professor at the Department of Advanced Computing Sciences of the Maastricht University Faculty of Science and Engineering. He is conducting research in the field of Signal & Image Processing and Data Analysis. In this research the interest is on developing methods, but not without an eye on applications. The main application field are Biomedical applications where there is involvement in multiple collaborations with the Maastricht University Medical Center (MUMC). There are also international collaborations such on electrocardiographic imaging (ECGI) where he is involved in the Consortium for ECG imaging. Here not only mathematical techniques are used to address the inverse problem in electrocardiography, but also artificial intelligence (AI) techniques such as generative AI.

Joël is coordinating the Signals & Control research area. He is a member of the governance board of the Thematic Digital Competence Centre (TDCC) for the Natural & Engineering Sciences (TDCC-NES). Joël is a member of the IEEE and a member of the Engineering in Medicine and Biology Society (EMBS). 

Relevant keywords: signal processing, signal decompositions, image processing, inverse problems, biomedical, artificial intelligence, multivariate data analysis, wavelets