Salma Kharrat
Scholar

Salma Kharrat

Google Scholar ID: iz2XtqsAAAAJ
PhD candidate, KAUST
federated learningmachine learningoptimization
Citations & Impact
All-time
Citations
14
 
H-index
2
 
i10-index
0
 
Publications
6
 
Co-authors
5
list available
Resume (English only)
Academic Achievements
  • Awarded the KAUST CEMSE Dean's List Award in 2023 for outstanding academic progress.
Research Experience
  • During her Ph.D. at KAUST, she has been supervised by Professor Marco Canini and visited Professor Anne-Marie Kermarrec's lab at EPFL (Ecole Polytechnique Federale de Lausanne).
Background
  • Research interests: artificial intelligence, with a particular focus on deep learning and federated learning. Field of expertise: computer science.