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Signal & Image Processing and Machine Learning

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Signal processing is a broad engineering discipline that is concerned with extracting, manipulating, and storing information embedded in complex signals and images. Methods of signal processing include: data compression; analog-to-digital conversion; signal and image reconstruction/restoration; adaptive filtering; distributed sensing and processing; and automated pattern analysis. From the early days of the fast fourier transform (FFT) to today’s ubiquitous MP3/JPEG/MPEG compression algorithms, signal processing has driven many of the products and devices that have benefited society. Examples include: 3D medical image scanners (algorithms for cardiac imaging aand multi-modality image registration) ; digital audio (.mp3 players and adaptive noise cancelation headphones); global positioning (GPS and location-aware cell-phones); intelligent automotive sensors (airbag sensors and collision warning systems); multimedia devices (PDA’s and smart phones); and information forensics (Internet monitoring and automatic speaker identification). At the University of Michigan we view signal processing as a science in which new processing methods are mathematically derived and implemented using fundamental principles that allow prediction of the method’s performance limitations and robustness. Signal processing research at UM is developing new models, methods and technologies that will continue to impact diagnostic and therapeutic medicine, radar imaging, sensor networking, image compression, communications and other areas.

Specialties

  • Compressive Sampling and Sensing
  • Computational Imaging and Inverse Problems
  • Data Science
  • Machine Learning, deep learning, convolution neural network (CNN) methods
  • Random matrix theory and applications
  • Signal Processing for Sensing and Sensor Networks
  • Source Coding and Compression
  • Statistical Estimation and Learning

ECE Faculty

Laura Balzano

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Jason Corso

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Robert Dick

Jeffrey Fessler

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Cynthia Finelli

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Brent Griffin

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Alfred Hero

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Hun-Seok Kim

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Jaechan Lim

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Mingyan Liu

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Rajesh Nadakuditi

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Necmiye Ozay

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S. Sandeep Pradhan

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Armin Sarabi

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Clayton Scott

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Gregory Wakefield

Lei Ying

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CSE Faculty

Mahdi Cheraghchi

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Honglak Lee

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Barzan Mozafari

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Jenna Wiens

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Affiliated Faculty

Charles Cain

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Cynthia Chestek

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Anna Gilbert

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Jerome Lynch

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Long Nguyen

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Postdocs

David Johnson

News Feed

Machine Learning and Systems: A conversation with 2020 Field Award winners Al Hero and Anders Lindquist

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

Beyond Apollo 11: U-M ECE’s role in advancing space exploration

For the 50th anniversary of the Apollo 11 moon landing, U-M ECE takes a look back – and a look forward – to how our professors, students, and alums have made their mark on the field.

Alfred Hero Receives 2020 IEEE Fourier Award

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

Students win prizes for improving image processing techniques for liver cancer detection and much more

Students in EECS 556: Image Processing, explore methods to improve image processing in applications such as biomedical imaging and video and image compression

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.

Seeing through materials

By developing a fast algorithm to map out the paths light takes through yogurt, researchers aim to someday see through skin.

Students in EECS 556 win prizes for improving image processing techniques for camera motion blur and facial recognition

These students are learning to improve images in medical imaging, and improve facial recognition

Student teams earn prizes for analog-digital converter circuit designs in EECS 511

The winning projects were designed for battery-operated mobile applications as well as instrumentation and measure applications.

Gopal Nataraj receives U-M Rackham Predoctoral Fellowship to support high-impact research in medical imaging

Award for outstanding doctoral candidates near the end of their study.

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.

A better 3D camera with clear, graphene light detectors

While 3D films are currently made using multiple cameras to reconstruct each frame, this new type of camera could record in 3D on its own.

Al Hero gets a shoutout from the court

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

Al Hero receives 2015 IEEE Signal Processing Society Award

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

Jeff Fessler receives Distinguished Faculty Achievement Award

Prof. Fessler has revolutionized medical imaging with groundbreaking mathematical models and algorithms that improve both safety and quality.

Using data science to achieve ultra-low dose CT image reconstruction

Ultra-low dose CT scans that provide superior image quality could not only benefit patients, but they could open up entirely new clinical applications.

Prize winning class team project for improved image processing

The project entails investigating a recent paper and both reproducing and extending the research.

Yelin Kim wins Best Student Paper Award at ACM Multimedia 2014 for research in facial emotion recognition

Prof. Raj Nadakuditi awarded DARPA Young Faculty Award for research that could help reveal the brain’s secrets

His research will impact the ability to investigate the structure of brain circuits through the use of optical imaging techniques.

Fighting lung cancer: Faster image processing for low-radiation CT scans

This advance could be important for fighting lung cancers, as symptoms often appear too late for effective treatment.

Chia-Hsiang Chen awarded Intel PhD Fellowship

Chia-Hsiang’s research focuses on designing low-power and error-resilient circuit techniques for digital signal processing applications.

Student Spotlight: Nick Asendorf – Matrix Musician

Nick specializes in the area of machine learning and statistical signal processing.

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.”

Hao Sun earns 3 Paper Awards for medical imaging research

Hao’s research is focused on improving the quality of images from magnetic resonance imaging pulse design.

Mai Le receives CoE Distinguished Leadership Award

Mai has served as Community Service Co-chair of the Graduate Society of Women Engineers since arriving at Michigan in 2011.

Student Spotlight: Mai Le – Finding a better way to diagnose breast cancer with MRI

The research group is using statistical signal processing to create crisper images with only 20% of the data required by a traditional MRI scan.

David Hong awarded NSF Graduate Research Fellowship

Hong intends to apply machine learning and signal processing techniques to the massive data sets now available to researchers.

Gopal Nataraj earns Best Paper Award for improving MRI

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

Gopal Nataraj receives ISA Fellowship to support research that will improve MRIs

Nataraj’s research aims to generate higher-quality and faster MRI images, resulting in improved diagnostics of neurological disorders and autoimmune diseases.

Zhaoshi Meng receives Best Paper Award at CAMSAP 2013

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

Al Hero named 2013 IEEE SPS Technical Achievement Award Winner

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

Pin-Yu Chen receives Rackham Chia-Lun Lo Fellowship

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

Jeff Fessler receives 2013 IEEE Edward J. Hoffman Medical Imaging Scientist Award

This award recognizes outstanding contributions to the field of medical imaging science.

Research that will lead to sharper photos earns best paper award

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

Jae Young Park receives Best Student Paper Award for research impacting structural health monitoring

SHM systems are critical for monitoring aging structures and infrastructure in a cost-effective manner.

Research in distributed networks earns Notable Paper Award at AISTATS

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

Predicting your risk of illness

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

New technology allows CT scans to be done with a fraction of the conventional radiation dose

“We’re excited to be adding Veo to the measures we already have in place to ensure that we get diagnostic images using the lowest amount of radiation possible.”

Breakthrough: Researchers find wide gap in immune responses of people who did or didnt get the flu after exposure

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.

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.

Gyemin Lee receives Best Paper Award for research in machine learning for biomedical diagnosis

Lee’s primary motivation is to apply his research methods to hematopathology, the study of blood-related diseases.

U-M researchers win 2010 Signal Processing Best Paper Award

The work, published in 2006, will be acknowledged at the EUSIPCO Conference in Denmark.

Prof. Al Hero receives 2009 Signal Processing Magazine Best Paper Award

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

Yong Long receives Best Poster Award for work in medical imaging

Long’s work describes a new algorithm for performing model-based methods in a way that requires less computation yet provides improved image quality.