Big Data

Dave Neuhoff

Prof. Dave Neuhoff says farewell after 45 years championing students, faculty, and the department

Neuhoff, an internationally recognized expert in information theory, source coding, and image processing, retired earlier this year. |Medium Read

H.V. Jagadish recognized with Distinguished Faculty Achievement Award

Prof Jagadish is an internationally recognized expert in the field of very large databases.|Short Read

NSF grant supports new system for gathering, structuring data with ease

The team intends to create a tool that should make gathering structured data about any topic dramatically easier.|Short Read

Automated tool optimizes complex programs better than humans

Erie provided database repairs that were previously performed exclusively by human programmers.|Short Read

The new quantum spurs action by the Michigan Quantum Science & Technology Working Group

The new working group showcased Michigan’s strength in Quantum Science at a workshop attended by researchers throughout the University of Michigan. |Medium Read
Prof. Danai Koutra

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.|Short Read

Paper award for identifying speaker characteristics in text messages

The goal of the work was to identify seven things about who the subject was talking to just by analyzing text messages.|Short Read
Photo of Jessie Yang

Jessie Yang receives funding from Dell for analysis of online user-generated data

U-M IOE assistant professor, Jessie Yang, has received research funding from Dell Inc. for sentiment analysis of online user-generated data for business intelligence enrichment.|Short Read
Laura Balzano

Laura Balzano receives NSF CAREER Award to improve machine learning for big data applications

Her research deciphering messy data sets will first tackle applications in genetics and computer vision.|Short Read
Danai Koutra

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|Short Read
Baris Kasikci

Speeding up code with clever data manipulation

Kasikci presents a method to improve a program’s ability to use data in a straightforward, efficient way|Short Read
Man stepping over puddle in rain

Teaching self-driving cars to predict pedestrian movement

Data gleaned from cameras and sensors increases predictive accuracy.|Medium Read