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Danai Koutra

Danai Koutra named Morris Wellman Professor

Koutra specializes in advancing network methods to speed up a variety of big data applications.

CSE faculty funded for three precision health projects

The CSE faculty include Prof. David Fouhey, Prof. Danai Koutra, Prof. Rada Mihalcea, and Research Scientist Veronica Perez-Rosas.

Best Student Paper Award for work on faster network classification for machine learning

Comparing graphs the team’s tool is up to an order of magnitude faster than competitive baselines.

CAREER Award for deeper insights into interconnected data: from neurons to web searches

Danai Koutra earned the award for her proposal to innovate the way we use networks to understand the world and speed up our technology.

Encouraging careers in research

Organizers hoped to equip students with the knowledge and skills they need to successfully apply to a graduate program.

Army Award to speed up distributed methods over networks

Danai Koutra has earned an Army Young Investigator Award to speed up graph methods for distributed applications.

Personalized knowledge graphs for faster search and digital assistants

Graphs that are customized, stored locally, and able to change over time can enable faster and more accurate searching and digital assistants

Finding meaning in varied data

Jie Song devised a method to combine summarized datasets that group information by incompatible units.

Study maps careers of CS PhDs using decades of data

The researchers identified movement between industry, academia, and government work, tracked the growth of important organizations, and built predictive models for career transitions and employer retention.

“Stitching” together a web user from scattered, messy data

Even though we interact with different web services in different ways, there are clues in the data that can indicate trends and identify a unique profile.

CSE graduate student earns NSF Graduate Research Fellowship for research on data mining

Tara Safavi’s research focuses on scalable and adaptive data mining algorithms using tools like hashing and sampling.

Movie design for specific target audiences

Researchers are working to design a successful movie that will attract the interest of a targeted demographic by leveraging user ratings, reviews, and product characteristics.

Social interaction patterns provide clues to real life changes

The identified changes in social media behavior may point to real events and changes, some of which can benefit from intervention.

Danai Koutra receives 2016 SIGKDD Doctoral Dissertation Award

The annual SIGKDD doctoral dissertation award recognizes excellent research by doctoral candidates in the field of data mining and knowledge discovery.

Eleven New Faculty Join CSE