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Joël Karel is an Associate Professor in the Department of Advanced Computing Sciences at Maastricht University. He specializes in the development of signal processing methods, particularly within the biomedical field, utilizing machine learning and artificial intelligence pipelines. His research encompasses various advanced methodologies such as wavelet theory, time-frequency decompositions, and singular spectrum decomposition. Additionally, he engages in systems theory and employs recurrence plots for data analysis, reflecting a strong interdisciplinary focus that bridges engineering and healthcare. As a member of the Governance board for the Thematic Digital Competence Centre, he contributes to enhancing digital skills and research in natural and engineering sciences. Karel has an extensive publication record, which can be accessed through platforms like Google Scholar.
The School of Business and Economics (SBE) encompasses departments like Organization, Strategy, Entrepreneurship, Finance, and Economics.