Feature-preserving simplification and sketch-based creation of 3D models 

Hybrid mesh/image-based rendering techniques for computer graphics applications 

3D urban modeling from city-scale aerial LiDAR data 

Expanding constraint theory to determine well-posedness of large mathematical models 

Simulating electrical stimulation and recording in a multi-scale model of the hippocampus 

Discrete-synapse recurrent neural network for nonlinear system modeling and seismic signal classification 

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

Microclimate and building energy performance 

Exploration of parallelism for probabilistic graphical models 

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

Nonlinear dynamical modeling of single neurons and its application to analysis of long-term potentiation (LTP) 

Rapid creation of photorealistic large-scale urban city models 

Energy simulation in existing buildings: calibrating the model for retrofit studies 

Digital tree simulation for residential building energy savings: shading and evapotranspiration 

The extraction and complexity limits of graphical models for linear codes 

Computational modeling and utilization of attention, surprise and attention gating 

Interpretable machine learning models via feature interaction discovery 

Lexical complexity-driven representation learning 

Differentially private learned models for location services 

Modeling of neonatal hemodynamics during PDA closure 

Dependent R-D modeling for H.264/SVC bit allocation 

Tumor-immune agent-based modeling: drawing insights from learned spaces 

Software security economics and threat modeling based on attack path analysis; a stakeholder value driven approach 

The use of alignment-free statistics for the evolutionary study of study of 5' cis-regulatory sequences 

Predicting debris yield using artificial intelligence models