<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Projects |</title><link>https://doost.rice.edu/projects/</link><atom:link href="https://doost.rice.edu/projects/index.xml" rel="self" type="application/rss+xml"/><description>Projects</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Sun, 19 May 2024 00:00:00 +0000</lastBuildDate><image><url>https://doost.rice.edu/media/icon_hu_702a800cd775dbac.png</url><title>Projects</title><link>https://doost.rice.edu/projects/</link></image><item><title>ETHOS</title><link>https://doost.rice.edu/projects/ethos/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://doost.rice.edu/projects/ethos/</guid><description>&lt;p&gt;&lt;strong&gt;ETHOS&lt;/strong&gt; develops a comprehensive, multi-dimensional testing framework
for machine-learning components in Open RAN software, with the goal of
accelerating the deployment of trustworthy, interoperable 5G/6G
networks. Funded by the NTIA Public Wireless Supply Chain Innovation
Fund, January 2024 – December 2028.&lt;/p&gt;</description></item><item><title>Houdini</title><link>https://doost.rice.edu/projects/houdini/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://doost.rice.edu/projects/houdini/</guid><description>&lt;p&gt;&lt;strong&gt;Houdini&lt;/strong&gt; is the first open-access software-defined radio platform
designed to simultaneously support multiple radio modules across
diverse frequency bands — CBRS, X-band, Ku-band, and V-band. Its
modular architecture allows multiple nodes to be combined to manage
tens to hundreds of antennas, enabling experimentation in wireless
networking, imaging, and sensing. Funded by NSF (CNS-2346550). I serve
as Co-PI on this project.&lt;/p&gt;</description></item><item><title>3DML</title><link>https://doost.rice.edu/projects/3dml/</link><pubDate>Thu, 01 Oct 2020 00:00:00 +0000</pubDate><guid>https://doost.rice.edu/projects/3dml/</guid><description>&lt;p&gt;&lt;strong&gt;3DML&lt;/strong&gt; is a community research infrastructure for &lt;em&gt;Data, Design and
Deployed&lt;/em&gt; validation of machine learning for wireless networks and
mobile applications. The platform enables data collection, ML model
design, and at-scale deployment for next-generation wireless systems.
Funded by NSF CCRI, October 2020 – September 2026. I serve as Co-PI on
this project.&lt;/p&gt;</description></item><item><title>RENEW</title><link>https://doost.rice.edu/projects/renew/</link><pubDate>Sun, 01 Apr 2018 00:00:00 +0000</pubDate><guid>https://doost.rice.edu/projects/renew/</guid><description>&lt;p&gt;&lt;strong&gt;RENEW&lt;/strong&gt; (Reconfigurable Eco-system for Next-generation End-to-end
Wireless) is an open-source, software-defined massive MIMO platform
deployed on the NSF PAWR/POWDER testbed. RENEW provides researchers
with programmable access to large-scale antenna arrays and end-to-end
PHY/MAC stacks for at-scale wireless experimentation. Funded by NSF
PAWR, April 2018 – March 2023.&lt;/p&gt;</description></item></channel></rss>