| Computer Graphics and Visualization | |
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-(Geometric analysis, shape modeling, physically-based modeling, scientific visualization) |
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3D Image Analysis and Informatics |
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-(Geometric computing techniques for 3D image analysis, learning and mining algorithms for imaging informatics, biomedical imaging applications) |
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My recent research has focused on modeling, visualizing, exploring, analysis and assessment of digital representations of heterogeneous real world. The fundamental objectives of the advanced visual computing research are to unambiguously model high-dimensional heterogeneous data, automatically extract and retrieve their underlying information, interactively visualize their geometric, physical and other properties, accurately and effectively simulate their behaviors, and rigorously analyze their informatics and dynamic natures.
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3D Shape Diffusion, Abstraction, Matching and Registration |
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Tracking and Analysis with Depth Images |
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Reconstruction and Visualization of Large-scale, Noisy Point Sets |
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Geometric Representation, Analysis and Informatics for Data-Intensive Computing |
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Visual Analytics in Large-scale Multimodality Imaging Data |
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Simplex Spline-based Volume Data Representation, Modeling, Reconstruction, and Visualization |
NSF: EAGER: Geometric Mapping and Diffusion for 3D Imaging Informatics.
NSF: III-CXT: Collaborative Research: Integrated Modeling and Learning of Multimodality Imaging Data across Subject for Brain Disorder Study.
NSF: CRI: IAD: Acquisition of Research Infrastructure for Knowledge-enhanced, Large-scale Learning of Multimodality Visual Data.
NIH: Longitudinal Neuroimaging in Sturge-Weber Syndrome.
NIH: Electrical, Molecular and Clinical Correlates of Human Interictal Spiking.
MTTC: Virtual Histology with Volumetric Computerized Tomography.
MTTC: Software Tool for Neuroimaging in Epilepsy.
21st Century Jobs Funds: HyperEye: Susceptibility Weighted Imaging-based Informatics Tools for Brain Tumor Studies.
Current Graduate Students, Post-Docs and Visiting Scholars
Darshan Pai
Jiaxi Hu
Xiaodong Jiang
Yifan Wu
Hui Ouyang
Zhaohui Cai
Graduate students who are interested in the aforementioned research areas may contact Professor Jing Hua directly. Financial supports are available for qualified students.