Analytical and experimental studies in system identification and modeling for structural control and health monitoring 

Economic model predictive control for building energy systems 

Studies into computational intelligence approaches for the identification of complex nonlinear systems 

Extending systems architecting for human considerations through model-based systems engineering 

Analytical and experimental studies in the development of reduced-order computational models for nonlinear systems 

Model, identification & analysis of complex stochastic systems: applications in stochastic partial differential equations and multiscale mechanics 

Studies into vibration-signature-based methods for system identification, damage detection and health monitoring of civil infrastructures 

Identification, control and visually-guided behavior for a model helicopter 

Structural system identification and health monitoring of buildings by the wave method based on the Timoshenko beam model 

Wave method for structural system identification and health monitoring of buildings based on layered shear beam model 

The identification, validation, and modeling of critical parameters in lean six sigma implementations 

User modeling for human-machine spoken interaction and mediation systems 

Non‐steady state Kalman filter for subspace identification and predictive control 

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

Estimating systems engineering reuse with the constructive systems engineering cost model (COSYSMO 2.0) 

Analytical and experimental studies of modeling and monitoring uncertain nonlinear systems 

Modeling and vibration analysis of wheelchair-users 

Nonlinear modeling of causal interrelationships in neuronal ensembles: an application to the rat hippocampus 

Efficient estimation and discriminative training for the Total Variability Model 

Contextual modeling of audio signals toward information retrieval 

Process implications of executable domain models for microservices development 

Distributed parameter model based system identification and filtering in the estimation of blood alcohol concentration from transdermal alcohol biosensor data 

Risk transfer modeling among hierarchically associated stakeholders in development of space systems 

Katie_Kramer_Final_Artifact_Compendium_of_CIP_Model_Practices_v2 

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