Amin Parchami-Araghi
Scholar

Amin Parchami-Araghi

Google Scholar ID: Z9sSK2EAAAAJ
PhD Student at Max Planck Institute for Informatics | MSc Visual Computing @ Saarland University
Visual Computing
Citations & Impact
All-time
Citations
37
 
H-index
2
 
i10-index
2
 
Publications
3
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Published a conference paper titled 'FaCT: Faithful Concept Traces for Explaining Neural Network Decisions' at NeurIPS 2025.
Research Experience
  • Currently a PhD student at D2, working on research about explaining the decisions of deep networks. Previously, worked as a Research Assistant (Hiwi) on projects that explored using explanation methods to guide model training.
Education
  • Master's degree in Visual Computing from Saarland University, supervised by Dr. Moritz Böhle and Sukrut Rao.
Background
  • Research interests: Explaining how deep networks function and finding explicit design choices to make them more interpretable. Field of expertise: Computer Vision and Machine Learning.
Miscellany
  • For further information, kindly refer to his Personal Webpage, Google Scholar, and LinkedIn.
Co-authors
0 total
Co-authors: 0 (list not available)