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Tracking COVID-19 spread faster, and more accurately

A new application for an ongoing NSF project could bolster contract tracing efforts.

Game theory and the COVID-19 outbreak: Coordinating our interests at individual to national levels

A major defense project pivots to explore how to encourage COVID-safe behavior effectively.

Catching nuclear smugglers: fast algorithm could enable cost-effective detectors at borders

The algorithm can pick out weak signals from nuclear weapons materials, hidden in ordinary radiation sources like fertilizer.

Xueru Zhang awarded Rackham Predoctoral Fellowship

Zhang is working to improve data security and address important ethical issues related to AI and discriminatory data sets.

Could a smartwatch identify an infection before you start spreading it?

A wrist-worn device detected disrupted sleep 24 hours before study participants began shedding flu viruses.

Advancing the future of circuit design with Intel’s Dr. Eric Karl

Karl (BSE MSE PhD EE) talks about how his time at Michigan helped prepare him for his dream job at Intel and a career advancing embedded memory technology and circuits.

Using machine learning to detect disease before symptoms manifest

Prof. Alfred Hero speaks to ECE about his work using data to predict the transmission of infectious disease among people who are pre-symptomatic or asymptomatic and how it relates to COVID-19.

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.

Beyond Moore’s Law: taking transistor arrays into the third dimension

Thin film transistors stacked on top of a state-of-the-art silicon chip could help shrink electronics while improving performance.

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.

Computer vision: Finding the best teaching frame in a video for fake video fightback

The frame in which a human marks out the boundaries of an object makes a huge difference in how well AI software can identify that object through the rest of the video.

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 data

Prof. Laura Balzano received a 2018 3M Non-Tenured Faculty Award to advance her research in Big Data.

$6.25M MURI project will decode world’s most complex networks

New tools could fight crime, protect financial system

Improving communication between humans and robots in 20 noisy questions

Hero and his team may have discovered a better way to facilitate communication using a twist on the classic game of 20 Questions.

Alfred Hero illustrates common threads of complex networks in Distinguished University Professor lecture

Lecture part of highest professorial honor bestowed on U-M faculty.

U-M, Cavium partner on Big Data research computing platform

The new partnership will provide scalable storage and an analytic software framework available to all U-M researchers.

$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.

COVE: a tool for advancing progress in computer vision

Centralizing available data in the intelligent systems community through a COmputer Vision Exchange for Data, Annotations and Tools, called COVE.

Fighting cyber crime with data analytics

QuadMetrics offers a pair of services to help companies both assess the effectiveness of their security and decide the best way to allocate (or increase) their security budget.

Clark Zhang earns NSF Fellowship for data processing in MEMS networks

Clark proposed framing the issue of collecting data from a network of different sensors as an optimization problem, making a solution easier to formulate for different systems.

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.

Michigan Institute for Data Science: Bringing the MIDAS touch to dig data

MIDAS is the new focal point for the multidisciplinary discipline of data science at Michigan, and part of Michigan’s $100M Data Science Initiative.

A real-world approach to digital signal processing

Students could use sensors or other data collection tools to pursue a goal of their choosing.

Yang Liu receives Best Applications Paper Award for cyber security research in phishing

His paper detailed his use of big data analysis to solve a major problem of cyber security.

Mapping the brain with lasers

Yoon is leading a team that will design new light sources with lasers capable of zooming in on individual neuron circuits within the brain.

Research in machine learning earns Notable Paper Award at AISTATS 2014

Prof. Scott’s research is in the field of machine learning, and his paper builds upon “supervised pattern classification.”

Gopal Nataraj earns Best Paper Award for improving MRI

Nataraj is using big data techniques to transform the field of medical imaging

Image processing 1,000 times faster is goal of new $5M contract

Lu plans to design and fabricate a computer chip based on so-called self-organizing, adaptive neural networks.

Prof. Raj Nadakuditi receives 2012 SPS Young Author Best Paper Award

Nadakuditi’s research has applications in biomedical signal processing, wireless communications, geophysical signal processing, array processing, and finance.

New techniques in medical informatics lead to improved diagnosis of MDS

The technique involves a visualization method that renders clinical flow cytometry data more interpretable to pathologists.

Prof. Clay Scott Receives CAREER Award for Research in Signal Processing