<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>News | Rice Wireless</title><link>http://wireless.rice.edu/tags/news/</link><atom:link href="http://wireless.rice.edu/tags/news/index.xml" rel="self" type="application/rss+xml"/><description>News</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Tue, 04 Aug 2026 00:00:00 +0000</lastBuildDate><image><url>http://wireless.rice.edu/media/icon.svg</url><title>News</title><link>http://wireless.rice.edu/tags/news/</link></image><item><title>Rice to Lead $15M Army Research Center for Next-Generation Sensing and Communications</title><link>http://wireless.rice.edu/blog/2026-08-classic-army-research/</link><pubDate>Tue, 04 Aug 2026 00:00:00 +0000</pubDate><guid>http://wireless.rice.edu/blog/2026-08-classic-army-research/</guid><description>&lt;p&gt;Rice University has received a &lt;strong&gt;$15 million Army Research Office
award&lt;/strong&gt; to establish &lt;strong&gt;CLASSIC&lt;/strong&gt; (Center for Large Aperture Secure
Sensing, Imaging and Communications) — a five-year research center
focused on secure sensing, imaging, and communications. The center
will develop advanced antenna technologies, particularly extremely
large-scale antenna arrays (ELSAAs), through collaborative research
across multiple institutions and disciplines. CLASSIC is directed by
&lt;strong&gt;Edward Knightly&lt;/strong&gt; with &lt;strong&gt;Ashutosh Sabharwal&lt;/strong&gt; as co-principal
investigator.&lt;/p&gt;
&lt;p&gt;
.&lt;/p&gt;</description></item><item><title>'Legos for Wireless Research': Rice-Led University Consortium Tackles the Future of Wireless with $4.5M NSF Award</title><link>http://wireless.rice.edu/blog/2024-08-houdini-nsf-award/</link><pubDate>Thu, 15 Aug 2024 00:00:00 +0000</pubDate><guid>http://wireless.rice.edu/blog/2024-08-houdini-nsf-award/</guid><description>&lt;p&gt;Rice University has received a &lt;strong&gt;$4.5 million NSF award&lt;/strong&gt; to develop
&lt;strong&gt;
&lt;/strong&gt;, an open-access software-defined
radio platform supporting multiple spectrum bands simultaneously. The
modular system will let researchers across wireless networking,
sensing, and imaging prototype 6G technologies without building
expensive custom equipment for each experiment. The project is led by
&lt;strong&gt;Ashutosh Sabharwal&lt;/strong&gt; with co-PIs &lt;strong&gt;Joseph Cavallaro&lt;/strong&gt; and &lt;strong&gt;Rahman
Doost-Mohammady&lt;/strong&gt;.&lt;/p&gt;
&lt;p&gt;
.&lt;/p&gt;</description></item><item><title>New Project Studies Information Freshness in Machine-to-Machine Networks</title><link>http://wireless.rice.edu/blog/2021-11-information-freshness-m2m/</link><pubDate>Wed, 10 Nov 2021 00:00:00 +0000</pubDate><guid>http://wireless.rice.edu/blog/2021-11-information-freshness-m2m/</guid><description>&lt;p&gt;An NSF-funded collaborative project led by &lt;strong&gt;Prof. Ashutosh Sabharwal&lt;/strong&gt;
across three universities will develop new machine-to-machine (M2M)
network protocols centered on quality-of-service metrics for
machine-based traffic.&lt;/p&gt;
&lt;p&gt;
&lt;/p&gt;</description></item><item><title>New Project Studies Information Freshness in Machine-to-Machine Networks</title><link>http://wireless.rice.edu/news/2021-11-information-freshness-m2m/</link><pubDate>Wed, 10 Nov 2021 00:00:00 +0000</pubDate><guid>http://wireless.rice.edu/news/2021-11-information-freshness-m2m/</guid><description>&lt;p&gt;An NSF-funded collaborative project led by &lt;strong&gt;Prof. Ashutosh Sabharwal&lt;/strong&gt;
across three universities will develop new machine-to-machine (M2M)
network protocols centered on quality-of-service metrics for
machine-based traffic.&lt;/p&gt;
&lt;p&gt;
&lt;/p&gt;</description></item><item><title>NVIDIA Funds Rice Researchers for Machine Learning for Massive MIMO</title><link>http://wireless.rice.edu/blog/2021-11-nvidia-mimo-ml/</link><pubDate>Wed, 10 Nov 2021 00:00:00 +0000</pubDate><guid>http://wireless.rice.edu/blog/2021-11-nvidia-mimo-ml/</guid><description>&lt;p&gt;Professors &lt;strong&gt;Ashutosh Sabharwal&lt;/strong&gt; and &lt;strong&gt;Santiago Segarra&lt;/strong&gt; are
partnering with Nvidia&amp;rsquo;s Dr. Chris Dick to create machine learning
tools designed for massive MIMO applications.&lt;/p&gt;
&lt;p&gt;
&lt;/p&gt;</description></item><item><title>NVIDIA Funds Rice Researchers for Machine Learning for Massive MIMO</title><link>http://wireless.rice.edu/news/2021-11-nvidia-mimo-ml/</link><pubDate>Wed, 10 Nov 2021 00:00:00 +0000</pubDate><guid>http://wireless.rice.edu/news/2021-11-nvidia-mimo-ml/</guid><description>&lt;p&gt;Professors &lt;strong&gt;Ashutosh Sabharwal&lt;/strong&gt; and &lt;strong&gt;Santiago Segarra&lt;/strong&gt; are
partnering with Nvidia&amp;rsquo;s Dr. Chris Dick to create machine learning
tools designed for massive MIMO applications.&lt;/p&gt;
&lt;p&gt;
&lt;/p&gt;</description></item><item><title>RFDataFactory Develops Tools and Datasets for Machine Learning for Wireless</title><link>http://wireless.rice.edu/blog/2021-11-rfdatafactory/</link><pubDate>Wed, 10 Nov 2021 00:00:00 +0000</pubDate><guid>http://wireless.rice.edu/blog/2021-11-rfdatafactory/</guid><description>&lt;p&gt;In partnership with Northeastern University, &lt;strong&gt;Prof. Ashutosh
Sabharwal&lt;/strong&gt;&amp;rsquo;s team will build software infrastructure for dataset
generation and create a centralized searchable database providing
public access to wireless research datasets.&lt;/p&gt;
&lt;p&gt;
&lt;/p&gt;</description></item><item><title>RFDataFactory Develops Tools and Datasets for Machine Learning for Wireless</title><link>http://wireless.rice.edu/news/2021-11-rfdatafactory/</link><pubDate>Wed, 10 Nov 2021 00:00:00 +0000</pubDate><guid>http://wireless.rice.edu/news/2021-11-rfdatafactory/</guid><description>&lt;p&gt;In partnership with Northeastern University, &lt;strong&gt;Prof. Ashutosh
Sabharwal&lt;/strong&gt;&amp;rsquo;s team will build software infrastructure for dataset
generation and create a centralized searchable database providing
public access to wireless research datasets.&lt;/p&gt;
&lt;p&gt;
&lt;/p&gt;</description></item></channel></rss>