Danai Koutra, PhD, University of Michigan – MIDAS Seminar Series
April 21 @ 4:00 pm - 5:00 pm
Danai Koutra, PhD
Computer Science and Engineering
College of Engineering
University of Michigan
Bio: I am interested in mathematically formulating interesting problems for exploring large-scale networks, and solving them with fast, scalable and principled methods. My research contributes graph-theoretical ideas and models for exploring a single graph (e.g., graph summarization, inference), as well as multiple graphs simultaneously (e.g., methods for temporal graphs or longitudinal data, similarity and alignment). Real applications of my work include exploration of scientific data, anomaly detection, and re-identification.
Research Interests: large-scale graph mining, mining scientific data, graph similarity, graph matching, graph summarization and visualization, graph anomaly and event detection, data mining, applied machine learning
For current projects, visit the GEMS Lab webpage!
For more information on MIDAS or the Seminar Series, please contact firstname.lastname@example.org. MIDAS gratefully acknowledges Northrop Grumman Corporation for its generous support of the MIDAS Seminar Series.