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Labs and Research Groups

The CAID lab’s research mainly focuses on the discovery of structural and functional architectures of the cerebral cortex via brain imaging and computational modeling.

The Center offers researchers a dedicated lab with twenty four Nvidia GeForce GTX 480 GPUs, a website with access to tutorials and learning resources, and hands-on training including but not limited to invitational seminars since 2012.

CUDA™ is a parallel computing platform and programming model that enables dramatic increases in computing performance by harnessing the power of the graphics processing unit (GPU).

Research in the DIPS lab focuses on Big Data, Mobile and Sensor Systems, Cloud Computing, Online Social Media and the applications of the above technologies to various application domains.

Research in the Evolutionary Computation & Machine Learning (ECML) Lab is centered around Genetic and Evolutionary Algorithms, Machine Learning and the intersection/ cross-fertilization of the two fields.

HeRo lab conducts experimental and application-oriented research in heterogeneous robotics systems of varying functionalities and mobility capabilities. Specifically, the current research focus are on multi-robot systems, wireless networks, intelligent…

Research conducted in the lab has been funded by grants from the Air Force and Army Research Offices, National Science Foundation, National Institutes of Health and the industry.

Over the years LSDIS has been actively involved in research projects in the areas of Databases, Workflows, Information Integration, Web Services and the Semantic Web initiative.

NSS research lab is focused on security problems present on the network or system level. We conduct interesting research in each case hoping to mitigate/eliminate any problem, vulnerability, or attack.

RNA Informatics research Lab at UGA is focused on developing computational tools and online servers for the prediction and annotation of non-coding RNA (ncRNA) genes and the prediction of protein tertiary structures

The goals of the VPCL are to undertake projects that advance the state of the art in the theory and applications of Visual Computing and Parallel Computing.

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