Scholar
Shahab Asoodeh
Google Scholar ID: CSxeFMsAAAAJ
McMaster University
Citations & Impact
Citations
850
H-index
18
i10-index
25
Publications
20
Co-authors
8
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Associate Editor of ACM Transactions on Probabilistic Machine Learning (since June 2025)
- Multiple papers accepted to top-tier conferences including NeurIPS 2025, ICML 2025, AISTATS 2025, NeurIPS 2024, COLT 2024, ISIT 2024, TPDP 2024/2023
- Paper on contraction properties of LDP mechanisms published in IEEE Journal on Selected Areas in Information Theory (JSAIT, 2023)
- Organized the first-ever workshop on 'Information-Theoretic Methods for Trustworthy Machine Learning' at ISIT 2024
- Co-organized the 2024 North American School of Information Theory at the University of Ottawa
Background
- Assistant Professor in the Department of Computing and Software at McMaster University
- Faculty Affiliate at the Vector Institute
- Main research areas: information theory, statistics, and inference
- Focuses on rigorous approaches to data privacy, algorithmic fairness, and trustworthy machine learning
- Current interests include developing privacy-preserving tools grounded in information-theoretic and statistical principles, and integrating synthetic data generation with formal fairness guarantees in decision-making systems
