AI Lab logo
menu MENU
Home > News > All News > Michael Cafarella

Michael Cafarella

$1M NSF grant supports new system for gathering, structuring data with ease

The team's new tool will combine of software and data to make gathering structured data dramatically easier.

Tool for structuring data creates efficiency for data scientists

Foofah is a tool that can help to minimize the effort and required background knowledge needed to clean up data.

Cafarella Receives VLDB Test of Time Award for Structured Web Data Search

This award is given to the VLDB paper published ten years earlier that has had the most influence since its publication.

Lattice Data, Inc supports CSE students

The gift supplemented the Computer Science and Engineering Special Projects Fund.

Shadows in the Dark Web

Secrets lurk in the dark web, the 95 percent of the internet that most of us can't see. One U-M professor is bringing some of those secrets to light, making the digital and the real world a little safer.

Michael J. Cafarella selected for Sloan Research Fellowship

He has built software systems for information extraction, database integration, and feature engineering and applied these to problems in the social sciences.

Cafarella and Lee named Morris Wellman Faculty Development Professors

The professorship is awarded to junior faculty members in recognition of outstanding contributions to teaching and research.

Researchers Develop Tools to Better Leverage Tweets in Spotting Trends

Yahoo! Expands M45 Supercomputing Initivative, selects U-M

The M45 program allows universities to conduct research otherwise impossible without the power and speed of an Internet-scale supercomputing resource.