Author

Hung Cao

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#machine learning Conference Open access Jun 2026

Beyond AHI: An Interpretable Causal-Discovery–Guided Framework for Sleep Recovery in Connected Health

This work proposes an interpretable, causal-discovery–guided framework for deriving a hierarchical Sleep Recovery Score (SRS) from multimodal PSG, and introduces a two-stage screening process that combines physiology-based constraints with constrained LLM-assisted auditing to identify and remove structural confounders...

Saba A. Farahani, Elahe Khatibi, M. Vishwanath et al. · IEEE/ACM International Confe... · 0 citations

#artificial intelligence Jun 2026

Event-Aligned Analysis of Multi-Rater Pain Assessments Using Continuous Wearable Physiology

A rater-aware, event-aligned framework that converts sparse, rater-specific pain ratings into discrete pain-change events and aligns continuous wearable physiological signals to these events, preserving rater identity throughout is introduced.

Saba A. Farahani, Elahe Khatibi, T. D. Hughes et al. · arXiv.org · 0 citations

#artificial intelligence Preprint Aug 2026

When Clean Signals Are Not Enough: Detecting Structural Ambiguity for Safe Wearable Stress Classification

The Individual Conformal Coupling Monitor is introduced, a lightweight and transparent pre-inference monitor that quantifies subject-specific coupling divergence and routes each window to classify, defer, or abstain without retraining the downstream classifier.

Saba A. Farahani, Hung Cao, Amir M. Rahmani · 0 citations