Discounted robust stochastic games with applications to homeland security and flow control 

Large scale inference with structural information 

Mobility-based topology control of robot networks 

Multiple degree of freedom inverted pendulum dynamics: modeling, computation, and experimentation 

Verification, learning and control in cyber-physical systems 

Smart buildings: synergy in structural control, structural health monitoring and environmental systems 

Statistical citation network analysis and asymmetric error controls 

Closing the reality gap via simulation-based inference and control 

Damage detection using substructure identification 

Machine learning-driven deformation prediction and compensation for additive manufacturing 

Model based design of porous and patterned surfaces for passive turbulence control 

Parametric and nonparametric models of short-term synaptic plasticity 

Analytical and experimental studies of modeling and monitoring uncertain nonlinear systems 

Sampling strategies based on existing information in nested case control studies 

Elements of robustness and optimal control for infrastructure networks 

Environmentally responsive buildings: multi-objective optimization workflow for daylight and thermal quality 

Nonparametric empirical Bayes methods for large-scale inference under heteroscedasticity 

Optimal guidance trajectories for proximity maneuvering and close approach with a tumbling resident space object under high fidelity J₂ and quadratic drag perturbation model 

Engineering immunotoxin and viral vectors for cancer therapy 

Efficient estimation and discriminative training for the Total Variability Model 

Essays on causal inference 

Controlled substructure identification for shear structures 

Leveraging structure for learning robot control and reactive planning 

Statistical modeling and machine learning for shape accuracy control in additive manufacturing 

Characterizing and improving robot learning: a control-theoretic perspective