Alfred Hero

Hero was elected "for contributions to the mathematical foundations of signal processing and data science."

Hero and Lindquist took a few minutes to talk about the impact of machine learning on Signal Processing and Control Systems, and what they plan to do about it

Hero’s research in signal processing has explored theoretical foundations and applications including personalized health imaging and information networks.

PhD candidate Elizabeth Hou was awarded an honorable mention for her presentation at the Michigan Student Symposium for Interdisciplinary Statistical Sciences on her research that could help monitor nuclear nonproliferation.

Electrical and Computer Engineering (ECE) faculty and students at Michigan are part of the revolution in data science that is happening today.

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

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

Hero is a leader in both professional and academic communities.

Prof. Hero and his research group build foundational theory and methodology for data science and engineering. His recent research interests are data science, bioinformatics and personalized health, statistical signal processing and imaging, and more.

Researchers from around the nation gathered at the University of Michigan in Ann Arbor to celebrate the 100th birthday of alumnus Claude E. Shannon (BSE EE/Eng Math ’36, ScD hon. ’61) at the Shannon Centennial Symposium.

The book explores the principles underpinning large-scale information processing over networks and the crucial interaction between big data and its associated communication, social and biological networks.

Hero was recognized as part of a program that sheds light on the University’s most distinguished faculty.

This is the highest award given by the Signal Processing Society, and honors outstanding technical contributions in the field.

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

This work will provide a way to efficiently reveal relationships between even distant entities in a network.

Prof. Hero is an internationally recognized expert in the field of signal and image processing.

Chen’s work can be used in community detection in social networks, network vulnerability assessment in communication systems, and more.

Several of the cubes enabled research to progress to the point that faculty are applying for larger grants to continue the work.

The method they developed compares favorably with the best of current techniques, while being faster and easier.

The research provides a way to efficiently reveal relationships between even distant entities in a network.

The goal of MCubed is to jumpstart novel, high-risk and transformative research projects.

Imagine a future when you could predict whether or not you are at risk of becoming sick.

This MURI has the goal of laying the foundation for a new systems information theory that applies to general controlled information gathering and inference systems.

If scientists can understand what happens at the genome level that makes people more or less susceptible to viral illness, they could potentially develop therapies to prevent illness.

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

Hero is an internationally recognized expert in the field of signal and image processing, an established leader in the professional community, and distinguished educator.

Xu is interested in identifying patterns in data that is collected over time where the underlying processes generating the data may be non-stationary.

The paper addresses the importance of knowing where networks of sensors are located once they’ve been deployed.

This professorship recognizes Hero for his impressive teaching, research, and service. Congratulations!