DC14: Automated condition assessment with Machine Learning (ML)
Objectives
  • Train neural networks on multimodal imaging datasets to detect deterioration features.
  • Automate generation of standardised condition reports.
Expected results
  • Prototype AI-based condition assessment system with higher speed and consistency than manual methods. Reduction of invasive testing through automated monitoring.
Host Institution: UAntwerp
Main Supervisor
  • Koen Janssens (UAntwerp)
Co-supervisors & Advisor
  • Geert Van der Snickt (UAntwerp)
  • Giannis Zacharakis (FORTH)
  • Armanda Rodrigues (UNL)
Vacancy description
Download the 'Glass-Care_Application_Questionnaire.pdf'
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