Data Intensive Pervasive Systems(DIPS) Lab 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. Lab site: http://dips.cs.uga.edu/ Read more about Data Intensive Pervasive Systems(DIPS) Lab
CUDA Teaching Center 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). Lab site: http://teachingcuda.uga.edu/index.shtml Read more about CUDA Teaching Center
CUDA Research Center 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. Lab site: http://cuda.uga.edu/index.shtml Read more about CUDA Research Center
Cortical Architecture Imaging and Discovery (CAID) Lab 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. Lab site: http://caid.cs.uga.edu/ Read more about Cortical Architecture Imaging and Discovery (CAID) Lab
Research Clusters 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. Read more about Research Clusters
Undergraduate Programs The CS curriculum covers the design principles of key computing technologies such as hardware, operating systems, database systems, networks, graphics, and artificial intelligence. Read more about Undergraduate Programs
Graduate Programs 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. Read more about Graduate Programs
Operating Systems 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. Read more about Operating Systems
Simulation 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. Read more about Simulation
Semantic Web and Semantic Web Processes Service Oriented Architectures, especially with the use of Web Services to provide loosely coupled approach to develop distributed systems, is gaining wide industry acceptance. The Semantic Web has emerged as the vision of the next generation of the web, in which meaning is associated with Web resources (data, documents and services) and represented in a machine processable form. LSDIS lab in our department is one of the oldest, largest and most significant research group in the world in the emerging area of Semantic Web and Semantic Web Services/Processes. Core faculty expertise comes from distributed databases and information systems, knowledge representation and AI, distributed systems and algorithms. This has resulted in substantial body of the work in ontology development, automatic metadata extraction and semantic annotation (with associated challenges in entity identification/recognition and resolution /disambiguation), semantic annotation of Web services (including a W3C submission on WSDL-S) and use of semantics in complete Web process life cycle, as well as scalable and high performance query processing and reasoning including RDF query processing and analysis of large RDF graphs for discovery of complex relationships (called semantic associations). Semantic applications in the areas of biology, health care, national security, financial services, and risk & compliance have been built. Emerging research now applying semantics to enable new capabilities at middleware and network levels. Researchers also have extensive collaboration with industry (e.g., IBM and CISCO), and are involved with many international bodies and initiatives including W3C, OASIS, and Eclipse. Read more about Semantic Web and Semantic Web Processes