MDS Master projects ongoing and open

• Jelmer Wolterink - MDS AI for Health-MIA
  • Neural network surgery: continual learning for patient-specific neural fields

see options under the supervision of:

• Christoph Brune and Sven Dummer - MDS-MIA:
  • Deep learning techniques for deblurring cell images utilizing (Riemannian/Differential) geometry 
    
    
• Annika Betken - MDS-STAT
  • A MOSUM procedure for change-points analysis of time series data based on ordinal patterns
    
    
• Annika Betken 
  
  • Deep learning in time series analysis: Unlocking potential?
    
    
• Marcello Carioni - MDS-MIA
  • Learning regularized dynamics in complex systems
    
    
• Jasper Goseling - MDS-SOR  & Marie-Collette van Lieshout
  • Statistical Disclosure Control when publishing on thematic maps
    
    
• Rianne de Heide - MDS-STAT
  • Model misspecification in non-parametric Bayesian regression
    
    
• Wouter Koolen - MDS-STAT
  
  • Partial Monitoring with Experts
    
    
• Marie-Colette van Lieshout - MDS-SOR and Changqing Lu, in collaboration with Paul Visscher (TFB)
  • Hazard estimation and capacity planning for the Fire Services
    
    
• José Iglesias Martínez - MDS-MIA
  • Ricci curvatures for point clouds
    
    
• Janusz Meylahn - MDS-MOR
  • Modeling basins of attraction of multiagent reinforcement learning dynamics
  • The role of state-space representation in multiagent reinforcement learning
    
    
• Katharina Proksch - MDS-STAT
  • Exploring the limits of exoplanet detection Minimax bounds for detecting short periodic signals
    
    
• Johannes Schmidt-Hieber - MDS-STAT
  
  • Understanding compositional function classes
    
    
• Anne Zander - MDS-MOR
  • Master Surgery Scheduling considering the granularity of session planning and downstream capacity

This list (under construction, by no means complete) is meant to give you an impression of what could be achieved during your final project period, and what a thesis in our area could look like.