Research
My work centres on EEG and multimodal neurophysiological signals, including cognitive-state modelling, meditation and devotional practices, physiological interpretability, cross-subject generalisation, computational efficiency, and human-centred neurotechnology.
EEG-based modelling of cognitive and neurological states, with an emphasis on physiologically meaningful representations and multimodal neurophysiological signals.
EEG-based investigation of neural dynamics during mantra meditation and devotional practices, including spectral–temporal signatures, hemispheric engagement, and state-dependent brainwave patterns.
Deep-learning systems for sleep staging and clinical analysis that expose evidence, uncertainty, and physiological structure rather than acting as black boxes.
Resource-efficient and privacy-aware learning for wearable and consumer-health systems, including federated learning, model auditing, and deployment under constrained sensing environments.
EEG-informed modelling of human movement and locomotor adaptation, with broader interest in AI-enabled and robot-assisted neurorehabilitation.