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. 

The scope of the operating system research includes scheduling, caching, storage systems, distributed systems, security and performance. The operating system group in UGA studies the OS support for a variety of devices, ranging from battery powered sensors, to standard desktop PCs, and to supercomputers. Current on-going research project include building client-centered operating system modifications for mobile devices, energy efficient super-computing, and distributed caching for web services.

Simulation involves the creation of a computer model of some real-world phenomenon and the execution of that computer model. Systems that are modeled include air-traffic, ground traffic, inetwork behavior, insect swarms and more. One aspect of work in this field is the creation of better models, those that more accurately reflect the real-world system. Another aspect of work in this field is the creation of the simulation system itself. Professor Miller has created JSIM, a Java-based simulation and animation environment supporting Web-Based Simulation, a rapidly emerging area of simulation research and development. Professor Hybinette's interests are in the area of interactive parallel computing in which end-users and the physical environment interact with running, distributed application programs (and affect the programs' execution). Her research has centered on large-scale, high performance, discrete event simulation. Work in cloning and merging contributes to improved performance on these systems. Currently, a Java-based optimistic parallel discrete event simulation is under development. Professor Eileen Kraemer collaborates with Professor Hybinette in this work.