| Computer Graphics | |
|
-(Vision graphics, shape analysis, geometric and physically-based modeling) |
|
|
Visualization |
|
|
-(Heterogeneous data visualization, hybrid visualization algorithms) |
|
3D Image Analysis and Informatics |
|
|
-(Geometric/graphical/visualization techniques for image analysis, learning and mining algorithms for image informatics, biomedical applications) |
|
My recent research has focused on modeling, visualizing, exploring, analysis and assessment of digital representations of heterogeneous objects acquired from 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 informatic and dynamic natures.
 |
Computational Geometry and Informatics Tools for Data-Intensive Computing |
 |
Visual Analytics in Multimodality Imaging Data |
 |
Simplex Spline-based Volume Data Representation, Modeling, Reconstruction, and Visualization |
 |
Collaborative Visualization Driven by Dataflow/Workflow |
 |
Surface Reconstruction from Noisy Point Sets |
 |
Haptic Interactions on Novel FEM Models |
Current Ph.D. Students:
Guangyu Zou
Chang Liu
Yunhao Tan
Darshan Pai
Zhaoqiang Lai
Jiaxi Hu
Current Master Students:
Neha Chandila
Danqing Wu
Vishal Mitesh Shah
Recent External Collaborators:
Otto Muzik, Ph.D., Pediatrics&Radiology@WSU, PET/MRI Center, Children's Hospital of Michigan.
E. Mark Haacke, Ph.D., Radiology@ WSU, Director of the MRI Institute for Biomedical Research.
Hamid Soltanian-Zadeh, Ph.D., Senior Research Scientist, Radiology@Henry Ford Health System
Weiping Ren, Ph.D., M.D., Orthopaedics@WSU.
Xianfeng Gu, Ph.D., Stony Brook University.
Hong Qin, Ph.D., Stony Brook University.
We are looking for a postdoc researcher working on one of the aforementioned research areas. Please contact Professor Jing Hua for more information. Graduate students who are interested in the aforementioned research areas may contact Professor Jing Hua directly. Financial supports are available for qualified students.