Area of research
Materials Chemistry · Renewable Energy, Sustainability and the Environment
Research interest
Research interests include Carbon Nanotubes in Composites, TiO2 Photocatalysis and Solar Cells, Advancements in Battery Materials, and Advanced Photocatalysis Techniques.
DeepSSM: A blueprint for image-to-shape deep learning models
Quantifying the Severity of Metopic Craniosynostosis Using Unsupervised Machine Learning
Capturing detailed deformations of moving human bodies
3D Shape Segmentation Using Soft Density Peak Clustering and Semi-Supervised Learning
Quantifying the Severity of Metopic Craniosynostosis: A Pilot Study Application of Machine Learning in Craniofacial Surgery
Analysis of heavily boron-doped diamond Raman spectrum
DeepSSM: A Deep Learning Framework for Statistical Shape Modeling from Raw Images
Quasi-Newton Methods for Real-Time Simulation of Hyperelastic Materials
Quasi-Newton Methods for Real-Time Simulation of Hyperelastic Materials
Reconstructing personalized anatomical models for physics-based body animation
Proceedings of the ACM SIGGRAPH/Eurographics Symposium on Computer Animation
2016cited by 56position: middle
Building and animating user-specific volumetric face rigs
Fast simulation of mass-spring systems
Raman spectroscopy of isotopically labeled two‐layer graphene