5 papers
EMMA: Extracting Multiple physical parameters from Multimodal Data
Farhat Shaikh, Ayan Banerjee, Sandeep Gupta
We introduce EMMA, a physics-informed multimodal framework that recovers all identifiable dynamical parameters of a system directly from raw video, audio, and image-based time-seri…
Human Knowledge Integrated Multi-modal Learning for Single Source Domain Generalization
Ayan Banerjee, Kuntal Thakur, Sandeep Gupta
Generalizing image classification across domains remains challenging in critical tasks such as fundus image-based diabetic retinopathy (DR) grading and resting-state fMRI seizure o…
Detection of Deployment Operational Deviations for Safety and Security of AI-Enabled Human-Centric Cyber Physical Systems
Bernard Ngabonziza, Ayan Banerjee, Sandeep K. S. Gupta
In recent years, Human-centric cyber-physical systems have increasingly involved artificial intelligence to enable knowledge extraction from sensor-collected data. Examples include…
Personalized Model-Based Design of Human Centric AI enabled CPS for Long term usage
Bernard Ngabonziza, Ayan Banerjee, Sandeep K. S. Gupta
Human centric critical systems are increasingly involving artificial intelligence to enable knowledge extraction from sensor collected data. Examples include medical monitoring and…
Model Recovery at the Edge under Resource Constraints for Physical AI
Bin Xu, Ayan Banerjee, Sandeep K. S. Gupta
Model Recovery (MR) enables safe, explainable decision making in mission-critical autonomous systems (MCAS) by learning governing dynamical equations, but its deployment on edge de…