Visual Analytics and Imaging Lab

Location	CS 2207
Mission	Novel research and system development in visualization, visual analytics, medical imaging, computer graphics, computer vision, virtual and augmented reality, and GPU-acceleration of general purpose computing techniques (GPGPU).
Hardware	High performance PCs with high-end GPUs, RAID server
Operating System	MS Windows, Linux
Software	MS Visual Studio, CUDA, CG, MS Office, Latex
Details	Among the projects are: visual analytics and information visualization medical, scientific and volume visualization knowledge assisted visualization user study design and evaluation for visual analytics tasks illustrative techniques high performance computing for medical imaging (CT, PET, MRI) physics-based simulation for ray and wave based phenomena Typically each graduate student can expect to have access to a (more or less) personal system and access to other interesting hardware. PhD students have a personal system and office space.
Funding	NSF, NIH
Coordinator	Klaus Mueller
Lab Web Page	Visual Analytics and Imaging Lab

Department of Computer Science • Stony Brook University, Stony Brook, NY 11794-4400 • 631-632-8470 or 631-632-8471