Theoretical foundations and design methodologies for cyber-neural systems 

Molecular and morphological effects on the operational parameters of organic solar cells 

Robustness of gradient methods for data-driven decision making 

Prohorov Metric-Based Nonparametric Estimation of the Distribution of Random Parameters in Abstract Parabolic Systems with Application to the Transdermal Transport of Alcohol 

Population modeling and Bayesian estimation for the deconvolution of blood alcohol concentration from transdermal alcohol biosensor data 

Sequence detection and parameter estimation over the wireless multichannel based on fractional and higher order statistics 

Incorporating uncertainty in design parameters: a hybrid classical-Bayesian power analysis approach for two-level cluster randomized trials 

Quantum information techniques in condensed matter: quantum equilibration, entanglement typicality, detection of topological order 

Dynamics of CO₂ leakage through faults 

Topics in parameter identification 

Adaptive parameter estimation of abstract parabolic and hyperbolic distributed parameter systems 

Robust estimation of high dimensional parameters 

Equilibrium model of limit order book and optimal execution problem 

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

Methodology for design of a vibration operated valve for abrasive viscous fluids 

A simplified building energy simulation tool: material and environmental properties effects on HVAC performance 

Precision-based sample size reduction for Bayesian experimentation using Markov chain simulation 

Investigation of mechanisms of complex catalytic reactions from obtaining and analyzing experimental data to mechanistic modeling 

Automatic image and video enhancement with application to visually impaired people 

Estimating linear regression parameters in the presence of non-white Gaussian noise with unknown covariance parameters 

Estimation of random input to semi-linear abstract parabolic systems with application to quantitative description of drinking behavior based on trans-dermal alcohol concentration 

Advanced machine learning techniques for video, social and biomedical data analytics 

Inverse modeling and uncertainty quantification of nonlinear flow in porous media models 

Robust and adaptive online decision making 

Design optimization under uncertainty for rotor blades of horizontal axis wind turbines