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.

Applications: Human 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.