News by Faculty
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.
Andrew Wagenmaker awarded NSF Fellowship for machine learning
Wagenmaker will utilize the award as he pursues his doctoral degree at the University of Washington.
Raj Nadakuditi receives Excellence in Teaching Award from College of Engineering
The award honors faculty “with a demonstrated sustained excellence in curricular development, instruction, and guidance.”
Seeing through materials
By developing a fast algorithm to map out the paths light takes through yogurt, researchers aim to someday see through skin.
We are now one ECE: the merged graduate program in Electrical and Computer Engineering
In recognition of how the Electrical Engineering discipline has evolved, the two graduate programs, Electrical Engineering and Electrical Engineering: Systems, have merged to form one graduate program: Electrical and Computer Engineering.
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.
Student Spotlight: Nick Asendorf – Matrix Musician
Nick specializes in the area of machine learning and statistical signal processing.
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.
2014 CoE Towner Prize for Outstanding Graduate Students
These students received the award based on their participation in research, leadership, and academic performance.
New algorithms and theory for shining light through non-transparent media
Their technique utilizes backscatter analysis to construct “perfectly transmitting” wavefronts.
Prof. Raj Nadakuditi receives AFOSR Young Investigator Award
Prof. Nadakuditi plans to provide an analytical characterization of the fundamental limits of multi-modal sensing of weak signals.
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.
Next-generation Systems Information Theory
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.
Raj Nadakuditi receives ONR Young Investigator Award
Nadakuditi’s proposal aims to bring into focus fundamental statistical limits of quiet signal detection, estimation in the context of undersea signal processing, and more.