Danai Koutra

Researchers hope to see a greater number of women pursuing careers in computing and a better experience for them during their time at U-M.

The fellowship will advance her work in inferring relational world knowledge in machines with explicit and implicit representations.

Twelve students and faculty co-authored papers spanning several key application areas for AI.

The Rising Star Award is based on an individual’s whole body of work in the first five years after the PhD.

Five multidisciplinary research teams are working on projects to assist with the coronavirus outbreak and to help find solutions to pressing problems.

The nine students represent a broad range of research areas in the department.

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

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

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

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

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

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

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

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

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.

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.

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

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.

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

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

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