MS & Conference Topics

• MS01 - AI powered numerical methods
  Organized by Pekka Neittaanmäki, University of Jyväskylä, Finland


• MS02 - Recent trends in the development of machine learning models on Finnish health data
  Organized by Sami Äyrämö, University of Jyväskylä, Finland


• MS03 - Explainable AI
  Organizers:
  Adil Rasheed, NTNU
  Anastasios Lekkas


• MS04 - Mathematics of AI
  Organized by Mats G. Larson, University of UMEÅ


• MS05 - Hybrid Analysis and Modelling
  Organized by Adil Rasheed (NTNU) and Omar San, Oklahoma State University


• MS06 - Reduced Order Modelling
  Organized by Trond Kvamsdal, NTNU


• MS07 - Digital Twin
  Organized by Trond Kvamsdal (NTNU), Kjetil Johannessen, SINTEF Digital

Papers are welcomed in one of the following topics, listed in alphabetic order (the list is not exhaustive):

• CT01 - AI tools, Machine learning and Deep learning, Human-machine interaction
  
  
• CT02 - Applications to societal issues
  
  
• CT03 - Big Data predictive analysis
  
  
• CT04 - Computational applied mathematics
  
  
• CT05 - Computational intelligence, Intelligent information processing
  
  
• CT06 - Emerging Technologies
  
  
• CT07 - Innovations in AI and Computational Sciences, Industrial application cases (e.g. transport, medicine, finance, police investigation...)
  
  
• CT08 - Optimization issues
  
  
• CT09 - Problem-solving algorithms
  
  
• CT10 - Use of algorithms with big data and AI