Academic CV
Doctoral Researcher in Computer Science & Engineering · AI, EEG & Computational Neuroscience · MNNIT Allahabad.
Profile
Researching robust, interpretable, physiology-guided, and computationally efficient learning from neurophysiological signals.
My doctoral research focuses on EEG-based modelling of cognitive and brain states, multimodal neurophysiological signal processing, temporal representation learning, explainable AI, brain–computer interfaces, and wearable neurotechnology.
Broader interests include human movement modelling, locomotor adaptation, and AI-enabled neurorehabilitation.
Education
Motilal Nehru National Institute of Technology Allahabad, Prayagraj, India
Maharshi Dayanand University, Rohtak, India
National Institute of Technology Nagaland, India
Experience
MNNIT Allahabad. Research on human cognition and brain-state analysis using EEG and multimodal neurophysiological signals; robust temporal representation learning; wearable sensing; and EEG-informed neurorehabilitation.
Indraprastha Gas Limited, New Delhi. Data analysis, statistical modelling, and data-driven reporting for operational decision support.
Highlights
Selected among the Top 25 participants for the ICPR 2026 Doctoral Consortium.
GATE qualified.
Selected for PhD admission in Computer Science at IIT (ISM) Dhanbad.
Qualified AIEEE 2012 with All India Rank (General) 25,083 among approximately 1.4 million candidates, placing in the top 1.8% nationally.