Multi-Criteria Optimization for Space Applications

Research Team Members

Leader: 

  • dr inż. Bartosz Sawik 

Group:

  • prof. dr Javier Faulin 
  • dr Emma Gatti 
  • dr Alain Gil Del Val 
  • prof. dr Angel A. Juan 
  • mgr Magdalena Ostasz 
  • prof. dr Elena Perez Bernabeu  
  • mgr inż. Michał Spólnik 

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Research Group: Multi-Criteria Optimization for Space Applications 

The Research Group focuses on advanced optimization techniques and decision-making methods for space exploration. The group's work involves the development and application of multi-criteria optimization models tailored to various aspects of space mission planning and execution. Key areas of investigation include risk modeling and optimization for space missions, optimization of material design for the space industry, and the integration of digital twins and the metaverse to enhanced mission planning. The group also explores optimization methods to minimize cyberattack risks during space missions and to streamline space mission supply chains. Through their interdisciplinary approach, the group aims to improve efficiency, safety, and sustainability in space exploration. 

Research areas: 

  • Multi-criteria optimization models for space mission 
  • Utilization of multi-criteria decision support methods for the execution and planning of space missions 
  • Space mission risks modelling and optimization 
  • Multi-criteria optimization in material design for space industry 
  • Development and application of multi-criteria optimization models with use of metaverse and digital twins for the execution and planning of space missions 
  • Optimization models for space missions cyberattacks 
  • Space mission supply chain optimization 
  • Digital Twin, Living Twin, and Metaverse