Rajesh Nadakuditi

Continuum offers courses in machine learning, linear algebra, and coding for everyone from high schoolers to engineers already established in their careers.

The award recognizes Nadakuditi’s outstanding contributions in the area of computational data science and machine learning

Pathbird gives instructors in the computational sciences the tools to write cloud-based interactive textbooks targeted to their own specific subject matter

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.

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

Wagenmaker will utilize the award as he pursues his doctoral degree at the University of Washington.

The award honors faculty “with a demonstrated sustained excellence in curricular development, instruction, and guidance.”

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

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.

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

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

These students received the award based on their participation in research, leadership, and academic performance.

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

Their technique utilizes backscatter analysis to construct “perfectly transmitting” wavefronts.

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

Prof. Nadakuditi plans to provide an analytical characterization of the fundamental limits of multi-modal sensing of weak signals.

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

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.

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.