IIT Indore · Mehta Family School of BSBE
Advancing brain health through neural signals & AI
Research
Envelope-based changepoint segmentation of seizures, seizure-network dynamics for localisation, and presurgical MEG-derived network-control metrics in temporal lobe epilepsy, across non-invasive and intracranial (EEG, MEG, SEEG) recordings.
Data-driven whole-brain connectome markers of trait impulsivity, using connectome-based predictive modelling linking brain networks to individual differences in behaviour.
Explainable models (SHAP, feature-importance) and leakage-aware validation that reveal which physiological patterns drive a prediction, not accuracy alone.
Publications
Biomedical Physics & Engineering Express · 2026
Subject-independent emotion recognition with EEG bispectral quadratic phase coupling features and explainable machine learningKumar H, Ganapathy N, Puthankattil SD, Swaminathan R
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Annals of Biomedical Engineering · 2026
Three-Phase Seizure Segmentation in Stereotactic EEG Using Envelope-Based Multivariate Changepoint AnalysisKumar H, Seshadri NPG, Martinez D, Najm I, Alexopoulos A, Bulacio JC, Serletis D, Krishnan B
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Human Brain Mapping · 2024
Functional Brain Networks of Trait Impulsivity: A Connectome-Based Predictive Modeling AnalysisHüpen P, Kumar H, Swaminathan R, Habel U, Wagels L
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Principal Investigator
Mehta Family School of Biosciences & Biomedical Engineering, IIT Indore
Biomedical signal processing, neurotechnology, and machine learning: EEG/SEEG/MEG, seizure characterisation, affective computing, and brain-network analysis. Previously a postdoctoral fellow at Cleveland Clinic Epilepsy Center and, during his PhD, a DAAD Bi-National Guided Research Fellow and guest scientist at University Hospital RWTH Aachen, Germany. Integrated B.Tech–M.Tech in Biomedical Engineering, IIIT Allahabad; PhD, IIT Madras.
Openings
PhD
Fully engaged doctoral research in neural signal processing, epilepsy, or AI for neuroscience.
M.Tech
Thesis projects on EEG/MEG analysis, brain networks, or interpretable machine learning.
Undergraduate
Project and internship roles for curious students across engineering and brain health.
News
AI-NE Lab established at IIT Indore within the Mehta Family School of Biosciences & Biomedical Engineering.
MEG-derived network control metrics for temporal lobe epilepsy accepted at Epilepsia.
New paper on subject-independent EEG emotion recognition with bispectral features and explainable ML published in Biomedical Physics & Engineering Express.
