Developing frameworks to quantify the operational and environmental performance of energy systems within the context of climate change 

Understanding dynamics of cyber-physical systems: mathematical models, control algorithms and hardware incarnations 

The geographic connotations of reincarceration: a spatial analysis of recidivism in Washington State 

Visualizing and modeling vocal production dynamics 

Efficient data collection in wireless sensor networks: modeling and algorithms 

Dendritic computation and plasticity in neuromorphic circuits 

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

Vision-based and data-driven analytical and experimental studies into condition assessment and change detection of evolving civil, mechanical and aerospace infrastructures 

Data-driven image analysis, modeling, synthesis and anomaly localization techniques 

Toward understanding speech planning by observing its execution—representations, modeling and analysis 

Spatiotemporal visualization and analysis as a policy support tool: a case study of the economic geography of tobacco farming in the Philippines 

Facial gesture analysis in an interactive environment 

Investigating the role of climate in affecting residential electricity consumption through high spatiotemporal resolution observations 

Real-world evaluation and deployment of wildlife crime prediction models 

Autonomous mobile robot navigation in urban environment 

Theoretical and computational foundations for cyber‐physical systems design 

Developing high-resolution spatiotemporal methods to model and quantify water use for energy 

Effects of building modifications and municipal policies on green cover in Los Angeles County 

Creating a water quality geodatabase for the West Hawai‘i Island region 

An exploratory spatial analysis of fire service and EMS accessibility in northeastern Illinois communities 

Data scarcity in robotics: leveraging structural priors and representation learning 

Motion segmentation and dense reconstruction of scenes containing moving objects observed by a moving camera 

Analysis of waveform and catalog data of aftershocks for properties of earthquakes and faults 

Differentially private learned models for location services 

Signal processing methods for interaction analysis of functional brain imaging data