Studies into data-driven approaches for nonlinear system identification, condition assessment, and health monitoring 

Rapid creation of photorealistic large-scale urban city models 

Externalized reasoning in language models for scalable and trustworthy AI 

Robust loop closures for multi-robot SLAM in unstructured environments 

CUDA deformers for model reduction 

Modeling and analysis of parallel and spatially-evolving wall-bounded shear flows 

High-capacity optical communications using structured light in random and disturbed media 

Incorporating aggregate feature statistics in structured dynamical models for human activity recognition 

Quantitative modeling of emotion perception in music 

High temperature latent heat thermal energy storage to augment solar thermal propulsion for microsatellites 

Computational modeling and utilization of attention, surprise and attention gating 

Model-based studies of control strategies for noisy, redundant musculoskeletal systems 

Local-aware deep learning: methodology and applications 

Multimodal reasoning of visual information and natural language 

Emotional speech production: from data to computational models and applications 

Characterization of visual cortex function in late-blind individuals with retinitis pigmentosa and Argus II patients 

Correction, coregistration and connectivity analysis of multi-contrast brain MRI 

Unsupervised domain adaptation with private data 

Calibration uncertainty in model-based analyses for medical decision making with applications for ovarian cancer 

Point cloud data fusion of RGB and thermal information for advanced building envelope modeling in support of energy audits for large districts 

Autoregression and structured low-rank modeling of sinograms 

Examining dual language immersion program instructional practices with regard to cognitive load theory 

Analytical and experimental studies in modeling and monitoring of uncertain nonlinear systems using data-driven reduced‐order models 

Pharmacokinetic/pharmacodynamic modeling for genetically polymorphic populations 

Stochastic data assimilation with application to multi-phase flow and health monitoring problems