(734) 764-4237
Applications: Brain Graphs (Connectronics), Communication Networks, Data Mining, Social Networks Methodologies: Data Mining, Graph Theory, Graph-based Methods, Graphical Models, Machine Learning

Danai Koutra

Assistant Professor, Computer Science and Engineering

I develop fast and principled methods for exploring and understanding one or more massive graphs. In addition to fast algorithmic methodologies, my research also contributes graph-theoretical ideas and models, and real-world applications in two main areas: (i) Single-graph exploration, which includes graph summarization and inference; (ii) Multiple-graph exploration, which includes summarization of time-evolving graphs, graph similarity and network alignment. My research is applied mainly to social, collaboration and web networks, as well as brain connectivity graphs.