Machine learning methods for 2D/3D shape retrieval and classification 

USC Computer Science Technical Reports, no. 906 (2009) 

Machine learning of DNA shape and spatial geometry 

Genome-wide studies reveal the function and evolution of DNA shape 

USC Computer Science Technical Reports, no. 964 (2016) 

Landmark-free 3D face modeling for facial analysis and synthesis 

Deep representations for shapes, structures and motion 

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

Face recognition and 3D face modeling from images in the wild 

Eye.Earth Pro (Beta v1.0): application development and spatial financial analysis utilizing the PESTELM framework 

Differentially private learned models for location services 

Shape, pose, and connectivity in subcortical networks across the human lifespan 

Efficient statistical significance approximation for local association analysis of high-throughput time series data 

Toward situation awareness: activity and object recognition 

Inferring mobility behaviors from trajectory datasets 

Morphological and microstructural models of typical development in the hippocampus and white matter 

Scalable dynamic digital humans 

Anatomically based human hand modeling and simulation 

Quantitative modeling of in vivo transcription factor–DNA binding and beyond 

Reward shaping and social learning in self- organizing systems through multi-agent reinforcement learning 

Finding environmental opportunities for early sea crossings: an agent-based model of Middle to Late Pleistocene Mediterranean coastal migration 

3D deep learning for perception and modeling 

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

Point-based representations for 3D perception and reconstruction 

Traveling sea stars: hydrodynamic interactions and radially-symmetric motion strategies for biomimetic robot design