Home > News > All News > Danai Koutra

Danai Koutra

Ten papers by CSE researchers at CVPR 2025

CSE-affiliated authors are presenting new research in the area of computer vision, from humanoid robotics to 3D reconstruction.

Ten papers by CSE researchers at NAACL 2025

CSE authors are presenting new research on topics related to computational linguistics, from multilingual deception detection to interactive language learning.

Eleven papers by CSE researchers at ICLR 2025

CSE authors are presenting new research on topics related to deep learning, including spatial reasoning in vision-language models, data selection methods, and moral alignment in language models.

Danai Koutra receives Presidential Early Career Award for Scientists and Engineers

PECASE is the U.S. government's highest honor for early-career scientists and engineers.

Seventeen papers by CSE researchers at NeurIPS 2024

Papers by CSE authors cover a variety of topics related to machine learning and neural information processing.

These CSE PhD alums have accepted faculty positions

Congrats to these new faculty!

Danai Koutra receives IBM Early Career Data Mining Research Award

The award recognizes Koutra’s outstanding contributions to the field of data science.

Danai Koutra receives 2023 ICDM Tao Li Award

The award recognizes her outstanding achievements in the field of data mining and machine learning.

Prof. Danai Koutra earns ICDM 10-Year Highest Impact Paper Award for bipartite graph alignment

Her 2013 paper examines the use of bipartite graph alignment and paved the way for continued research in graph matching.

Tara Safavi honored with Kuck Dissertation Prize for impactful thesis on advanced graph learning

The award recognizes exceptionally impactful dissertations by graduate researchers.

Prof. Danai Koutra receives NSF grant for research in graph neural networks

The project aims to advance the theoretical underpinnings of the interplay between graph heterophily and overall performance of graph neural networks.

CSE receives $720K grant to enhance recruitment of women in computer science

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.

CSE doctoral student Tara Safavi receives Rackham Predoctoral Fellowship

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

Seven papers by CSE researchers presented at AAAI 2021

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

Prof. Danai Koutra recognized as rising star with ACM SIGKDD Award

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

Computer scientists employ AI to help address COVID-19 challenges

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

Nine CSE graduate students recognized by NSF Graduate Research Fellowship Program

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

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

We're building a bigger, better CSE.