Ion Victor Gosea
Scholar

Ion Victor Gosea

Google Scholar ID: T3Z_bcYAAAAJ
Max Planck Institute for Dynamics of Complex Technical Systems
Data-driven reduced-order modeling of complex systems
Citations & Impact
All-time
Citations
1,030
 
H-index
15
 
i10-index
30
 
Publications
20
 
Co-authors
40
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Details regarding specific academic achievements such as publications are not provided.
Research Experience
  • - Max Planck Fellow, 2017-2019
  • - Head of DRI Group, focusing on data-driven model reduction using the Loewner framework.
Education
  • Specific educational background details not provided.
Background
  • Research Interests: Data-driven system reduction and identification; Specialization: Modeling, prediction, and control of dynamical systems.