Open Access Interactive Storytelling Project on the Manasamangal Kavya
Other
Role: Co-Principal Investigator
Real-time non-invasive estimation of vital body parameters (viz. core body temperature, blood-oxygen level, respiration rate, heart-rate) from RGB videos to classify individuals as healthy or non-healthy
Completed
Agency: Department of Science and TechnologyRole: Principal Investigator
Thesis title: Explainable and Generalized Deep Learning Framework: Study on Atypical Brain Network Development
UniversityIndian Institute of Technology Jodhpur
Year2025
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Scholarly Publications
The Z-number enigma: A study through an experiment
Journal Article
Year: 2013.
Volume: 291
, Pages: 71-88
.
Authors: Romi Banerjee; Sankar K. Pal
Explainable deep-learning framework: decoding brain states and prediction of individual performance in false-belief task at early childhood stage
Authors: Km Bhavna; Azman Akhter; Romi Banerjee; Dipanjan Roy
Characterization of the temporal stability of ToM and pain functional brain networks carry distinct developmental signatures during naturalistic viewing
Modeling Curiosity in Human Brain as an Artificial Intelligent Agent
Conference Paper
Year: 2026.
Authors: Sabitra Sankalp Panigrahi; Romi Banerjee
Solving Unstructured Spatio-Temporal Queries Using AI Agent
Conference Paper
Year: 2026.
Volume: 16436 LNCS
, Pages: 463-470
.
Authors: Sabitra Sankalp Panigrahi; Romi Banerjee
A Self-Aware Generic Cognitive Architecture
Conference Paper
Year: 2026.
Volume: 16437 LNCS
, Pages: 537-548
.
Authors: Sabitra Sankalp Panigrahi; Romi Banerjee
A lightweight, end-to-end explainable, and generalized attention-based graph neural network model trained on high-order spatiotemporal organization of dynamic functional connectivity to classify autistics from typically developing