Danai Koutra
Danai Koutra | |
---|---|
Native name | Δανάη Κούτρα |
Born | Athens, Greece |
🎓 Alma mater | National Technical University of Athens (Diploma) Carnegie Mellon University (MS, PhD) |
💼 Occupation | |
🏅 Awards | National Science Foundation CAREER Award (2019) ARO Young Investigator Award (2018) |
🌐 Website | danaikoutra |
Danai Koutra (Greek: Δανάη Κούτρα) is an Assistant Professor of the Computer Science and Engineering Division of the Electrical Engineering and Computer Science Department of the University of Michigan[2] where she directs the Graph Mining and Exploration at Scale Lab.[3] Danai Koutra is also affiliated with the Michigan Institute for Data Science.
Professional history[edit]
Danai Koutra received her Ph.D. and M.S. in Computer Science from Carnegie Mellon University in 2015 and her diploma in Electrical and Computer Engineering at the National Technical University of Athens in 2010.[2] In 2019 Danai Koutra won the prestigious National Science Foundation CAREER Award[4] and an Amazon research award for "Adaptive Personalized Knowledge Graph Summarization", a project in collaboration with Davide Mottin.[5] Koutra received an ARO Young Investigator award and an Adobe Data Science Research Faculty Award in 2018.[6][2] In 2014 she was selected for the Berkeley EECS Rising Stars conference,[7] as well as the Heidelberg Laureate Forum, which she attended as a young researcher of the US delegation, sponsored by NSF.
Research work and academic service[edit]
Since 2018, Koutra leads the "Explore Graduate Studies in CSE" program [8] at the University of Michigan, which aims to broaden participation in computer science at the graduate level.
Awards[edit]
National Science Foundation CAREER Award (2019)[9]
Amazon research award for "Adaptive Personalized Knowledge Graph Summarization". The project is in collaboration with Davide Mottin. 2019[10]
Army Research Office Young Investigator Award. 2018
ACM SIGKDD Dissertation Award winner. 2016[11]
Patents[edit]
She holds one issued patent on graph matching.[12]
Selected publications[edit]
Books
- Danai Koutra, Christos Faloutsos. Individual and Collective Graph Mining: Principles, Algorithms, and Applications. Synthesis Lectures on Data Mining and Knowledge Discovery, October 2017, 206 pages. Morgan & Claypool publishers.
Journals and conferences
Graph Summarization Methods and Applications: A Survey. Yike Liu, Tara Safavi, Abhilash Dighe, Danai Koutra. ACM Computing Surveys, February 2018.
Graph based anomaly detection and description: a survey. L. Akoglu, H. Tong, D. Koutra. Data mining and knowledge discovery 29 (3), 626-688. 2015
Rolx: structural role extraction & mining in large graphs. K. Henderson, B. Gallagher, T. Eliassi-Rad, H. Tong, S. Basu, L. Akoglu, D. Koutra, C. Faloutsos, Lei Li. Proceedings of the 18th ACM SIGKDD international conference on Knowledge. 2012
DELTACON: A Principled Massive-Graph Similarity Function. D. Koutra, JT Vogelstein, C. Faloutsos. Proceedings of the 13th SIAM International Conference on Data Mining. 2013
Anomaly detection in dynamic networks: a survey. S. Ranshous, S. Shen, D. Koutra, S. Harenberg, C. Faloutsos, N.F. Samatova. Wiley Interdisciplinary Reviews: Computational Statistics 7 (3), 223-247. 2015
VOG: Summarizing and Understanding Large Graphs. D. Koutra, U. Kang, J. Vreeken, C. Faloutsos. SDM. 2014
Unifying guilt-by-association approaches: Theorems and fast algorithms. D. Koutra, TY Ke, U. Kang, DHP Chau, HKK Pao, C. Faloutsos. Joint European Conference on Machine Learning and Knowledge Discovery in Databases. 245-260. 2011
Media[edit]
Built by humans. Ruled by computers. 2018
CSE researchers funded to make online communication smarter. 2018
Sandy Hook, the Gun Control Debate, and the Insidious Influence of the Filter Bubble. MIT Technology Review. 2014
References[edit]
- ↑ Danai Koutra at the Mathematics Genealogy Project
- ↑ 2.0 2.1 2.2 "Danai Koutra". https://ieeexplore.ieee.org. Retrieved 2019-05-30. External link in
|website=
(help) - ↑ "GEMS Lab". gemslab.github.io. Retrieved 2019-03-05.
- ↑ "NSF Award Search: Award#1845491 - CAREER: Timely Insights: Interpretable, Multi-scale Summarization of Networks over Time". nsf.gov. Retrieved 2019-04-01.
- ↑ "Personalized knowledge graphs for faster search and digital assistants". University of Michigan EECS. Retrieved 2019-04-01.
- ↑ "Stitching together a web user from scattered, messy data". University of Michigan EECS. Retrieved 2019-04-01.
- ↑ "Rising Stars in EECS 2014 || EECS, UC Berkeley". www2.eecs.berkeley.edu. Retrieved 2019-04-01.
- ↑ "Explore Graduate Studies in Computer Science and Engineering". eecs.umich.edu. Retrieved 2019-04-02.
- ↑ "NSF Award Search: Award#1845491 - CAREER: Timely Insights: Interpretable, Multi-scale Summarization of Networks over Time". nsf.gov. Retrieved 2019-04-01.
- ↑ "Personalized knowledge graphs for faster search and digital assistants". University of Michigan EECS. Retrieved 2019-03-07.
- ↑ "Danai Koutra Receives 2016 SIGKDD Doctoral Dissertation Award". eecs.umich.edu. Retrieved 2019-03-07.
- ↑ "Graph matching". Retrieved 2019-04-02.
External links[edit]
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