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H.V. Jagadish
Tianji Cong receives Rackham Predoctoral Fellowship
The award recognizes Cong’s outstanding research progress and will support his continued scholarship on realizing AI for data management.H.V. Jagadish receives Stephen S. Attwood Award
The highest faculty honor awarded by the College of Engineering, the award recognizes Jagadish’s outstanding record of achievement in research, teaching, and service.U-M, Schmidt Futures to partner on new AI research program
$10M will fund training for 60 postdoctoral fellows as part of international cohort.H.V. Jagadish named Edgar F. Codd Distinguished University Professor of EECS
Professor Jagadish is being recognized for his work as one of the nation’s most visible and influential researchers in the interdisciplinary field of data scienceBest paper award for simplifying data transformation
The researchers proposed a set of formal tools to make statistical data transformation easier to document and understand.CSE researchers report over $11M in research grants last quarter
The awards were distributed to 18 different primary investigators.
Hunger and COVID: Fighting pandemic-related food insecurity in Detroit
Public policy and engineering team up to improve food access.
Research team takes on food insecurity in Detroit in the face of coronavirus limitations
Researchers are working with the city on two key initiatives to address food availability for elderly and low-income populations.
CRA recognizes three outstanding undergraduate researchers
The three students were given Honorable Mentions for their interdisciplinary projects.
H.V. Jagadish recognized with Distinguished Faculty Achievement Award
Prof Jagadish is an internationally recognized expert in the field of very large databases.
$2M NSF grant to explore data equity systems
Researchers plan to establish a framework for a national institute that would enable research using sensitive data, while preventing misuse and misinterpretation.Jagadish appointed director of Michigan Institute for Data Science
Jagadish will help lead MIDAS into its next stage and further expand data science efforts across disciplines.
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.
Finding meaning in varied data
Jie Song devised a method to combine summarized datasets that group information by incompatible units.
Zuckerberg Capitol Hill testimony: Engineering experts offer comments
U-M profs weigh new business model, European-style regulation
An armed robber’s Supreme Court case could affect all Americans’ digital privacy for decades to come
How much can your cellphone reveal about where you go?
Algorithms can be more fair than humans
Still, it’s not guaranteed, as seen in Amazon’s same-day delivery service. Algorithm designers may not even realize a problem has crept in.
Passwords, privacy and protection: Can Apple meet FBI’s demand without creating a ‘backdoor’?
Prof. H.V. Jagadish sheds light on current issues regarding data privacy and technology.
The Promise and Perils of Predictive Policing Based on Big Data
Such tactics, even if effective in reducing crime, raise civil liberty concerns.
Michigan Researchers Win Best Paper Award at VLDB 2015
The paper proposes an interactive natural language interface for relational databases, which enables novice users to construct complex queries.