- CBIM Center (Computational Biomedicine, Imaging, and Modeling Center)
- NSF I/UCR Center for Dynamic Data Analytics (CDDA)
Research Areas: Computational Biomedicine, Computer Vision, Computer Graphics, Scientific Computations, Computational Neuroscience, Learning and Robotics, Dynamic Data Analytics.
Major Emphasis: Novel theories for segmentation, dynamic object tracking and recognition, model-based learning, sparisty, physics-based and deformable object modeling, human behavior and movenent analytics, computer animation of fluid phenomena, scalable solutions to multidimensional and distributed learning problems.
communication analytics, Human activity recognition,
Dynamic and stochastic human tracking, Segmentation and tracking
Methods, American sign language recognition, Cardiac modeling and
analysis, Segmentation methods for internal
organs, Cancer detection and recognition for lungs, breast, brain and
the prostate, Functional anatomy, Sparse solutions for inverse
problems, Modeling of complex physical
phenomena, Fluid simulations, Crowd modeling and Analysis.
Selected Research Projects:
expression tracking & recognition
as a clue to deception
and motion analysis