Projects

Current research directions.

Ongoing work connecting neural-signal modelling, meditation and devotional-practice EEG, physiological interpretability, cross-subject robustness, and deployment-aware learning.

01

Interpretable EEG models of cognitive state

Robust and physiology-guided temporal representation learning for cognitive monitoring under stress, fatigue, and other subject-dependent conditions.

Related work ↗
02

EEG signatures of meditation & devotional practices

Characterising neural dynamics during Hare Krishna Mahamantra meditation and Kirtan-related devotional practice using multichannel EEG, spectral–temporal analysis, and data-driven modelling.

OBiGSEN preprint ↗
03

Sleep and neurophysiological intelligence

Interpretable temporal models that connect automated sleep-stage decisions with meaningful physiological structure in EEG and multimodal recordings.

Related work ↗
04

Resource-aware wearable NeuroAI

Efficient and privacy-aware learning for wearable neurophysiological sensing, with attention to deployment constraints, trust, and model auditing.

Related work ↗