Aadirupa Saha
Scholar

Aadirupa Saha

Google Scholar ID: 7a49tQYAAAAJ
Assistant Professor, UIC
AI Alignment (LLM)ML (Bandits Opt RL)Federated LearningDiff PrivacyMech Design Social Choice
Citations & Impact
All-time
Citations
898
 
H-index
16
 
i10-index
23
 
Publications
20
 
Co-authors
40
list available
Resume (English only)
Background
  • Assistant Professor at the Department of Computer Science, University of Illinois Chicago (UIC)
  • Member of the UIC CS Theory group and the IDEAL Institute
  • Primary research focus: developing, improving, and theoretically analyzing Reinforcement Learning with Human Feedback (RLHF) algorithms
  • Research areas: Machine Learning (especially Online Learning theory, Bandits, Reinforcement Learning), Optimization, Federated Learning, Differential Privacy, and Mechanism Design
  • Aims to build large-scale, robust, and intelligent AI models for sequential decision-making under partial or restricted feedback such as user interactions, preferences, demonstrations, proxy observations, and rankings