The primary research is toward Computer Vision algorithms for 3D applications. My research interest is also the application of VLSI circuits to 3D imaging algorithms to improve throughput and real-time analysis of 3D image data. The next frontier in image technology is the extension to 3D in displays, image processing and in image capture. These technologies are seeing growth in medical imaging (3D CT, Ultrasound, MRI) and other applications. My algorithmic research in 3D statistical Image segmentation uses an iterative Bayesian analysis with the Expectation-Maximization algorithm to achieve results in highly noisy images (such as Ultrasound). This type of algorithm poses challenges to real-time clinical needs, due to lengthy convergence speeds on traditional hardware. Additional new concepts such as Particle Swarm Optimization (PSO) and Deep Learning Neural Networks (DNN) are advancing the state of the art in optimization. Additionally, new challenges in data access and dedicated processing for these types of applications dictate the need for VLSI solutions.
