Baris Cansiz
Scholar

Baris Cansiz

Google Scholar ID: Cdu-0dwAAAAJ
Dr.-Ing.
Computational heart biomechanics
Citations & Impact
All-time
Citations
198
 
H-index
8
 
i10-index
8
 
Publications
20
 
Co-authors
0
 
Resume
Academic Achievements
  • Published several papers on cardiac mechanics and biomedical engineering, such as 'A Physics‐Informed Neural Network Model for the Anisotropic Hyperelasticity of the Human Passive Myocardium' and others.
Research Experience
  • Works as a scientific assistant at TU Dresden. Involved in multiple research projects related to cardiac mechanics.
Background
  • Research interests include cardiac mechanics, biomedical engineering, and computational methods.