Software

NSF, Multi-Agent Adaptive Data Collection for Automated Post-Disaster Rapid Damage Assessment
Multi-agent adaptive sensing after disasters
A Bayesian partially observable online change detection approach with Thompson sampling
A Bayesian partially observable online change detection approach with Thompson sampling
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Adaptive resources allocation CUSUM for binomial count data monitoring with application to COVID-19 hotspot detection
Adaptive resources allocation CUSUM for binomial count data monitoring with application to COVID-19 hotspot detection
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ANTLER: Bayesian nonlinear tensor learning and modeler for unstructured, varying-size point cloud data
Bayesian nonlinear tensor learning for unstructured point cloud data (ANTLER).
Project
Graph-aware Tensor Topic Models for Individualized Passenger Travel Pattern Clustering
Graph-aware tensor topic models for individualized passenger travel patterns.
Posterior Regularized Bayesian Neural Network incorporating soft and hard knowledge constraints
Posterior Regularized Bayesian Neural Network incorporating soft and hard knowledge constraints
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Tensor dirichlet process multinomial mixture model with graphs for passenger trajectory clustering
Tensor dirichlet process multinomial mixture model with graphs for passenger trajectory clustering
DOT, "Knowledge-guided Automation for Integrity Management of Aging Pipelines (KAI-MAP) for Hydrogen Transport"
Knowledge-guided automation for hydrogen pipeline integrity (KAI-MAP)
NIH R21, "Novel threat detection methodology to detect HIV outbreaks in Washington”
Spatial-temporal threat detection for HIV outbreak surveillance (Washington)
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NIH STTR Phase I, AIDen: An AI-empowered detection and diagnosis system for jaw lesions using CBCT
AIDen
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