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Joël Karel is an associate professor in the Department of Advanced Computing Sciences at Maastricht University, where he conducts research in the fields of Signal & Image Processing and Data Analysis. His research focuses on developing novel methods for biomedical applications, particularly in collaboration with the Maastricht University Medical Center (MUMC). Joël is actively involved in international collaborations related to electrocardiographic imaging (ECGI) and utilizes mathematical and artificial intelligence techniques, including generative AI, to tackle the inverse problem in electrocardiography. He coordinates the Signals & Control research area and serves on the governance board of the Thematic Digital Competence Centre (TDCC) for Natural & Engineering Sciences. Joël is also a member of the Engineering Medicine Biology Society (EMBS), highlighting his commitment to advancing the intersection of engineering and biomedical fields. His expertise includes biomedical signal processing, filtering, image analysis, wavelet analysis, instant frequency analysis, empirical signal processing, and model-based signal processing.
The School of Business and Economics (SBE) encompasses departments like Organization, Strategy, Entrepreneurship, Finance, and Economics.