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20242026
most citedVirtual Sensing to Enable Real-Time Monitoring of Inaccessible Locations & Unmeasurable Parameters

1 citations · 1 across the 2 of their papers we have counts for

collaborators

6 papers

cs.LG20261 cited

Virtual Sensing to Enable Real-Time Monitoring of Inaccessible Locations & Unmeasurable Parameters

Kazuma Kobayashi, Farid Ahmed, Jaewan Park +4

Real-time monitoring of safety-critical interior states is an open problem across energy, environmental and industrial systems where direct instrumentation is infeasible. Approache…

cs.LG2026

Real-Time Sensing of Inaccessible Physical Fields via an Edge-Deployable Hardware-Portable Graph Neural Operator

William Howes, Jason Yoo, Kazuma Kobayashi +4

Real-time inference of inaccessible interior physical fields from sparse boundary observations is a fundamental but unresolved problem in scientific machine learning, with direct r…

cs.LG2026

Neuroscience Inspired Graph Operators Towards Edge-Deployable Virtual Sensing for Irregular Geometries

William Howes, Farid Ahmed, Kazuma Kobayashi +2

Predicting full-field physics through the real-time virtual sensing of engineering systems can enhance limited physical sensors but often requires sparse-to-dense reconstruction, c…

cs.CE2025

Bridging Sequential Deep Operator Network and Video Diffusion: Residual Refinement of Spatio-Temporal PDE Solutions

Jaewan Park, Farid Ahmed, Kazuma Kobayashi +4

Video-diffusion models have recently set the standard in video generation, inpainting, and domain translation thanks to their training stability and high perceptual fidelity. Build…

cs.LG2025

Distribution-Free Uncertainty-Aware Virtual Sensing via Conformalized Neural Operators

Kazuma Kobayashi, Shailesh Garg, Farid Ahmed +2

Robust uncertainty quantification (UQ) remains a critical barrier to the safe deployment of deep learning in real-time virtual sensing, particularly in high-stakes domains where sp…

cs.LG2024

Virtual Sensing-Enabled Digital Twin Framework for Real-Time Monitoring of Nuclear Systems Leveraging Deep Neural Operators

Raisa Bentay Hossain, Farid Ahmed, Kazuma Kobayashi +3

Effective real-time monitoring is a foundation of digital twin technology, crucial for detecting material degradation and maintaining the structural integrity of nuclear systems to…