activity
20232026
most citedThe Expert Knowledge combined with AI outperforms AI Alone in Seizure Onset Zone Localization using resting state fMRI

15 citations · 28 across the 15 of their papers we have counts for

collaborators

15 papers

eess.IV2026

Experience with Single Domain Generalization in Real World Medical Imaging Deployments

Ayan Banerjee, Komandoor Srivathsan, Sandeep K. S. Gupta

A desirable property of any deployed artificial intelligence is generalization across domains, i.e. data generation distribution under a specific acquisition condition. In medical…

cs.CV2026

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…

cs.AI2026

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…

cs.DC2025

Fast Online Digital Twinning on FPGA for Mission Critical Applications

Bin Xu, Ayan Banerjee, Sandeep K. S. Gupta

Digital twinning enables real-time simulation and predictive modeling by maintaining a continuously updated virtual representation of a physical system. In mission-critical applica…

cs.DC2025

Accelerated Digital Twin Learning for Edge AI: A Comparison of FPGA and Mobile GPU

Bin Xu, Ayan Banerjee, Midhat Urooj +1

Digital twins (DTs) can enable precision healthcare by continually learning a mathematical representation of patient-specific dynamics. However, mission critical healthcare applica…

cs.AI2025★ 4 cited

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…

cs.CV2024

STORM: Strategic Orchestration of Modalities for Rare Event Classification

Payal Kamboj, Ayan Banerjee, Sandeep K. S. Gupta

In domains such as biomedical, expert insights are crucial for selecting the most informative modalities for artificial intelligence (AI) methodologies. However, using all availabl…

cs.LG2024★ 7 cited

Recovering implicit physics model under real-world constraints

Ayan Banerjee, Sandeep K. S. Gupta

Recovering a physics-driven model, i.e. a governing set of equations of the underlying dynamical systems, from the real-world data has been of recent interest. Most existing method…

cs.HC2024

Operational Safety in Human-in-the-loop Human-in-the-plant Autonomous Systems

Ayan Banerjee, Aranyak Maity, Imane Lamrani +1

Control affine assumptions, human inputs are external disturbances, in certified safe controller synthesis approaches are frequently violated in operational deployment under causal…

cs.AI2024★ 1 cited

CPS-LLM: Large Language Model based Safe Usage Plan Generator for Human-in-the-Loop Human-in-the-Plant Cyber-Physical System

Ayan Banerjee, Aranyak Maity, Payal Kamboj +1

We explore the usage of large language models (LLM) in human-in-the-loop human-in-the-plant cyber-physical systems (CPS) to translate a high-level prompt into a personalized plan o…

cs.CV2023★ 15 cited

The Expert Knowledge combined with AI outperforms AI Alone in Seizure Onset Zone Localization using resting state fMRI

Payal Kamboj, Ayan Banerjee, Varina L. Boerwinkle +1

We evaluated whether integration of expert guidance on seizure onset zone (SOZ) identification from resting state functional MRI (rs-fMRI) connectomics combined with deep learning…

eess.SY2023

High Fidelity Fast Simulation of Human in the Loop Human in the Plant (HIL-HIP) Systems

Ayan Banerjee, Payal Kamboj, Aranyak Maity +2

Non-linearities in simulation arise from the time variance in wireless mobile networks when integrated with human in the loop, human in the plant (HIL-HIP) physical systems under d…

cs.CV2023

Transfer: Cross Modality Knowledge Transfer using Adversarial Networks -- A Study on Gesture Recognition

Payal Kamboj, Ayan Banerjee, Sandeep K. S. Gupta

Knowledge transfer across sensing technology is a novel concept that has been recently explored in many application domains, including gesture-based human computer interaction. The…

cs.CV2023★ 1 cited

Merging Deep Learning with Expert Knowledge for Seizure Onset Zone localization from rs-fMRI in Pediatric Pharmaco Resistant Epilepsy

Payal Kamboj, Ayan Banerjee, Sandeep K. S. Gupta +1

Surgical disconnection of Seizure Onset Zones (SOZs) at an early age is an effective treatment for Pharmaco-Resistant Epilepsy (PRE). Pre-surgical localization of SOZs with intra-c…

cs.HC2023

EdGCon: Auto-assigner of Iconicity Ratings Grounded by Lexical Properties to Aid in Generation of Technical Gestures

Sameena Hossain, Payal Kamboj, Aranyak Maity +3

Gestures that share similarities in their forms and are related in their meanings, should be easier for learners to recognize and incorporate into their existing lexicon. In that r…