Nurbek Tastan
Scholar

Nurbek Tastan

Google Scholar ID: 8eQlTUQAAAAJ
Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)
machine learningfederated learningtrustworthy machine learning
Citations & Impact
All-time
Citations
85
 
H-index
5
 
i10-index
4
 
Publications
11
 
Co-authors
7
list available
Resume (English only)
Background
  • PhD Candidate in Machine Learning at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)
  • Affiliated with the SPriNT-AI lab
  • Research focuses on trustworthy and efficient machine learning, with emphasis on fairness, privacy, robustness, and efficiency in collaborative settings
  • Develops methods to enable more efficient fine-tuning of large-scale models (including large language models) while preserving utility and user confidentiality
  • Passionate about building machine learning systems that are performant, equitable, privacy-aware, and computationally viable for real-world deployment