Mohammad Mahdi Khalili

This researcher works at the intersection of machine learning fairness, privacy-preserving data methods, and mechanism design, with recent work also touching on model interpretability and efficient training techniques. Application areas in the publication record include federated learning, fair selection and regression problems, cyber-insurance, and physiological signal processing for worker health monitoring. Prospective students would likely engage with topics combining algorithmic fairness, data privacy, and applied machine learning system design.

Publication output was higher and more variable earlier in the decade (peaking around 2018-2019), declined through the early 2020s, and has shown a modest uptick in 2024-2025.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026