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.

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.

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.

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.

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).

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.

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 faculty of the School of Computing is composed of energetic and creative professors whose interests cover many of the growing or emerging research areas in Computer Science. 

The CS curriculum covers the design principles of key computing technologies such as hardware, operating systems, database systems, networks, graphics, and artificial intelligence.

The School of Computing is filled with energetic and creative professors whose interests cover many of the growing or emerging research areas in computer science.