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Researcher

Rembrandt Devillé

  • Research Expertise:Rembrandt obtained his degree in bioscience engineering in 2019 at the KU Leuven. His focus within his master's degree was on human health engineering with a thesis on the development of a detection algorithm of sedentary behavior. He has also researched sensor anomaly detection and computer vision applications on single-board computers and survival analysis.
  • Keywords:AI, survival analysis, sensor anomaly
  • Disciplines:Signal processing not elsewhere classified
  • Research techniques:Artificial intelligence, machine learning, survival analysis, computer vision, data science, Python
  • Users of research expertise:Flemish SME's needing help in implementing AI solutions.