NExt-gen X Systems Group
NExt-gen X (where X=networked/distributed/AI/ML/...) Systems (pronounced "nexus") group is a research group in the School of Computer Science at Georgia Institute of Technology.
Research Areas
We are interested broadly in the systems and networking space, with a current focus on systems that span the cloud, the network, and the edge in enabling and democratizing AI.
Graph Neural Networks
GNNs have enabled breakthroughs in many important domains including recommendation systems and drug discovery. Our research focuses on scaling graph neural networks training and inference.
Dynamic Neural Networks
We are investigating whether injecting dynamism can help us build more efficient DNN systems.
Multimodal Models
State-of-the-art autoregressive models are able to understand more than text, here we are exploring techniques to build efficient systems that can scale up multimodal model serving.
Agentic Systems
Our research in this space looks at the reliability and efficiency of agentic workflows.
