New grant aims to create better algorithms to manage big data by getting “non-real”Professors Laura Balzano and Hessam Mahdavifar are developing new ways to compress data through randomized algorithms to remove redundancies
The artistry of mathematical modelsArtist and professor Jessica Wynne features Prof. Laura Balzano’s blackboard in a photography series that captures the abstract beauty of problem solving.
Prof. Laura Balzano wins Education Excellence Award from the College of Engineering
Balzano is honored for her all-around excellence in teaching, mentorship, and curriculum development.
Laura Balzano aims to improve precision medicine as a Fulbright Scholar
Balzano will work with Portuguese researcher Mário Figueiredo to develop new machine learning methods impacting medical diagnosis and treatment.
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.
Laura Balzano receives ARO Young Investigator Award to improve high-dimensional big data problems
Applications include managing large networked systems, such as sensor networks, power grids, or computer networks.
ECE and data science: a natural connection
Electrical and Computer Engineering (ECE) faculty and students at Michigan are part of the revolution in data science that is happening today.
Prof. Laura Balzano receives AFOSR Young Investigator Award for research that addresses massive streaming data
Balzano uses statistical signal processing, matrix factorization, and optimization to unravel dynamic and messy data.
Laura Balzano partners with 3M to advance research in big dataProf. Laura Balzano received a 2018 3M Non-Tenured Faculty Award to advance her research in Big Data.
$1.6M toward artificial intelligence for data science
DARPA is trying to build a system that can turn large data sets into models that can make predictions, and U-M is in on the project.
Laura Balzano receives Intel Early Career Faculty Honor Program Award for research in big data
The purpose of the ECFHP is to help Intel connect with the best and brightest early career faculty members who show great promise.
A real-world approach to digital signal processing
Students could use sensors or other data collection tools to pursue a goal of their choosing.
MCubed A Year Later: A record of fostering innovative research
Several of the cubes enabled research to progress to the point that faculty are applying for larger grants to continue the work.
ECE faculty are MCubing to find answers – fast
The goal of MCubed is to jumpstart novel, high-risk and transformative research projects.