<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Wireless |</title><link>https://doost.rice.edu/tags/wireless/</link><atom:link href="https://doost.rice.edu/tags/wireless/index.xml" rel="self" type="application/rss+xml"/><description>Wireless</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Thu, 01 Oct 2020 00:00:00 +0000</lastBuildDate><image><url>https://doost.rice.edu/media/icon_hu_702a800cd775dbac.png</url><title>Wireless</title><link>https://doost.rice.edu/tags/wireless/</link></image><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></channel></rss>