What began as an exploration of cognitive uncertainty evolved into a broader research direction focused on human decision-making, multimodal inference, and real-time cognitive systems.
Each project reflects a different layer of that process — from machine learning and NLP to physiological modeling and high-performance human environments — with the goal of building interpretable and adaptive AI systems grounded in real-world behavior.
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Abstract Can the way we use language reveal the cognitive effort we’re expending? This project investigates whether it’s possible to distinguish between two different cognitive states—Normal Reading (NR) and Task-Specific Reading (TSR)—using only the linguistic properties of a text. Starting with classical machine learning models that achieved a baseline F1-score of ~0.74, we developed a…
NeuroQuantix 