Scholar
Zahra Monfared
Google Scholar ID: OPUIwIoAAAAJ
BMFTR Research Group Leader at IWR, Uni Heidelberg-Former: Postdoc at Technical University of Munich
Citations & Impact
Citations
408
H-index
10
i10-index
10
Publications
20
Co-authors
12
list available
Publications
Resume (English only)
Academic Achievements
- Funded by the Federal Ministry of Education and Research (BMBF) through the OIDLITDSM project in the field of AI. Located at the Interdisciplinary Center for Scientific Computing (IWR), Heidelberg University, and affiliated with the Faculty of Mathematics and Computer Science at Heidelberg University.
Research Experience
- The group advances AI techniques for neuroimaging analysis by integrating multiple modalities of brain imaging data, aiming to improve early diagnostic accuracy and contribute to personalized monitoring tools for disease progression.
Background
- The research focuses on two main directions: developing a mathematical foundation for understanding the design, training, and operation of deep learning models, particularly RNNs; and using AI techniques to analyze and develop numerical algorithms for approximating solutions to PDEs.
Miscellany
- In addition to theoretical advancements, the team will apply their methodological tools and results across various fields including neuroscience, weather/climate, economics, engineering, healthcare, etc.
