Milad Sabouri
Scholar

Milad Sabouri

Google Scholar ID: BJXsuUEAAAAJ
DePaul University
Machine LearningReinforcement LearningRecommender Systems
Citations & Impact
All-time
Citations
54
 
H-index
3
 
i10-index
2
 
Publications
8
 
Co-authors
9
list available
Resume (English only)
Background
  • Applied Scientist and Ph.D. candidate in Computer Science at DePaul University
  • Focuses on building personalized and intelligent decision systems
  • Brings extensive industry experience as a software engineer, emphasizing robust, scalable, and maintainable models
  • Current research centers on LLM-powered AI agents for dynamic and explainable user modeling in recommender systems
  • Leverages reinforcement learning and deep learning to enhance personalization while ensuring model transparency