Network, Communication, and Information Systems

Prof. Mingyan Liu is a key member of a project to mitigate bias in Artificial Intelligence and Machine Learning systems for long-term equitable outcomes.

Komma, a PhD student, is working to develop robust low powered localization technology for Artificial Intelligence enabled Internet of Things in locations where GPS is limited or blocked.

A new application for an ongoing NSF project could bolster contract tracing efforts.

A major defense project pivots to explore how to encourage COVID-safe behavior effectively.

Zhang is working to improve data security and address important ethical issues related to AI and discriminatory data sets.

Mahdavifar is preparing for a future of billions of connected devices and an unprecedented increase in mobile traffic.

Kim takes an interdisciplinary approach to tackle challenges in heterogeneous classes of energy-efficient and versatile communication systems.

With the help of two NSF awards totaling $1.7m, Prof. Hessam Mahdavifar is tackling new problems to improve the reliability of communication systems for 5G and beyond.

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.

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

The law of small numbers could impact the next generation of tools that deal with data.

Mingyan Liu, recipient of the 2018 Distinguished Innovator of the Year award, gave a talk about her startup company and participated on a panel discussing data science commercialiation.

New tools could fight crime, protect financial system

QuadMetrics offers a pair of services to help companies both assess the effectiveness of their security and decide the best way to allocate (or increase) their security budget.

His paper detailed his use of big data analysis to solve a major problem of cyber security.

Prof. Liu’s research interests are vast, and she is also active in the professional community.

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

The goal is to be able to monitor the soil moisture with as few measurements as possible and with a high degree of accuracy.

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.

Applications of this research range from soil sensors which allow for increased understanding of global climate change to futuristic sensory skins which can monitor the integrity of an object.

The sensor network addressed in the paper assesses the operating conditions of a power plant. It is intended to measure process variables and assess plant status.

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.

Stark’s research relates to wireless networks and understanding their fundamental limits in terms of energy efficiency and bandwidth efficiency.

“The paper studies the key enabling technologies of Cognitive Radio and makes contributions in two key areas: sensing and learning.”

Nazari’s research is focused on an information theoretic approach to the problem of multi-terminal communications systems.