Syllabus

MileStones

 

PROJECT
SUPERVISORS

T Aamodt

P. Abolmaesumi

A Bashashati

L. Chrostowski

A Fedorova

S Fels

N K-Hashemi

A Ivanov

L Lampe

J Madden

P Nair

T Nguyen

M Ordonez

K Pattabiraman

J Rubin

M Shahrad

S Shekhar

C Thrampoulidis

K Walus

L. Wang

Z Wang

ZJ Wang

EECE 597 Prof. L. Lampe - ECE

To Apply: email For information & availability of specific projects.
ID Status Name
LL-1 Available Underwater acoustic communications
In this project, we will perform research on low-probability of detection underwater acoustic communication. We will consider using data driven approaches (i.e. machine learning models) for detecting anomalies that indicate the presence of a signal. This is theoretical and simulation-based research. Solid backgrounds in signal processing, data communications, and machine learning are required.