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Danai Koutra, PhD, University of Michigan – MIDAS Seminar Series

April 21 @ 4:00 pm - 5:00 pm

Rackham Amphitheatre

Name: Danai Koutra Uniqname: dkoutra Department: EECS Photo: Joseph Xu, Michigan Engineering Communications & Marketing www.engin.umich.edu

Danai Koutra, PhD

Assistant Professor

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 midas-contact@umich.edu. MIDAS gratefully acknowledges Northrop Grumman Corporation for its generous support of the MIDAS Seminar Series.

Details

Date:
April 21
Time:
4:00 pm - 5:00 pm
Event Category:

Venue

Rackham Amphitheatre
915 E. Washington St.
Ann Arbor, MI 48109 United States
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