MENU 
Rajesh Nadakuditi
New textbook teaches students about matrix methods and their real world applications
Linear Algebra for Data Science, Machine Learning, and Signal Processing, written by ECE Professors Jeffrey Fessler and Raj Nadakuditi, provides an accessible and interactive guide to matrix methods.Bringing the Joy of Coding to Asilong, Kenya
Fourteen eleventh graders have joined Joy of Coding in Kenya, learning programming skills and teaching them to peers.Raj Rao Nadakuditi honored with Master's Mentoring Award
Prof. Nadakuditi received this award from the Rackham Graduate School in recognition of his many contributions to the education of students at the master’s level.A coaching bot for students learning coding, computational Machine Learning, and AI
Prof. Raj Rao Nadakuditi is developing a generative AI coaching bot that provides feedback to strengthen self-regulated learning skills.High School students discover “The Joy of Coding” in new ECE online course
In a new online course designed to improve access to engineering education for all, students learn how coding powers apps such as Snapchat, TikTok, Instagram, and Siri.New online education program brings high-demand topics in technology to the world
Continuum offers courses in machine learning, linear algebra, and coding for everyone from high schoolers to engineers already established in their careers.
Raj Nadakuditi receives Ernest and Bettine Kuh Distinguished Faculty Award
The award recognizes Nadakuditi’s outstanding contributions in the area of computational data science and machine learning
New ‘living textbook’ for computational sciences
Pathbird gives instructors in the computational sciences the tools to write cloud-based interactive textbooks targeted to their own specific subject matter
2020 EECS Outstanding Achievement Awards
EECS honors four faculty members for their outstanding accomplishments to the community.ECE Faculty and Staff Living the Values
Seven staff and two faculty are recognized for taking extra steps to advance the College of Engineering's vision, mission and values within Electrical and Computer Engineering.
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.
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.
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.
New algorithms and theory for shining light through non-transparent media
Their technique utilizes backscatter analysis to construct “perfectly transmitting” wavefronts.
ECE faculty are MCubing to find answers – fast
The goal of MCubed is to jumpstart novel, high-risk and transformative research projects.
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.