<?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/news/</link><atom:link href="http://wireless.rice.edu/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>Fri, 07 Oct 2022 00:00:00 +0000</lastBuildDate><image><url>http://wireless.rice.edu/media/icon.svg</url><title>News</title><link>http://wireless.rice.edu/news/</link></image><item><title>Three NSF Grants Support the Future of Wireless</title><link>http://wireless.rice.edu/news/2022-10-three-nsf-grants/</link><pubDate>Fri, 07 Oct 2022 00:00:00 +0000</pubDate><guid>http://wireless.rice.edu/news/2022-10-three-nsf-grants/</guid><description>&lt;p&gt;Three collaborative National Science Foundation grants awarded to
electrical and computer engineer &lt;strong&gt;Ashu Sabharwal&lt;/strong&gt; will support his
Rice University lab&amp;rsquo;s work on developing tools and techniques to
advance next-generation wireless communications.&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/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/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><item><title>Sabharwal Awarded 2021 ACM SIGMOBILE Test-of-Time Award</title><link>http://wireless.rice.edu/news/2021-08-sabharwal-sigmobile-tot/</link><pubDate>Thu, 12 Aug 2021 00:00:00 +0000</pubDate><guid>http://wireless.rice.edu/news/2021-08-sabharwal-sigmobile-tot/</guid><description>&lt;p&gt;&lt;strong&gt;Dr. Ashutosh Sabharwal&lt;/strong&gt; and former student &lt;strong&gt;Dr. Melissa Duarte&lt;/strong&gt;
received the 2021 ACM SIGMOBILE Test-of-Time Award for their
full-duplex research papers, which demonstrated sustained impact on
the field.&lt;/p&gt;
&lt;p&gt;
&lt;/p&gt;</description></item><item><title>Dasala and Knightly Win Best Paper Award at IEEE INFOCOM</title><link>http://wireless.rice.edu/news/2021-05-dasala-knightly-infocom/</link><pubDate>Tue, 11 May 2021 00:00:00 +0000</pubDate><guid>http://wireless.rice.edu/news/2021-05-dasala-knightly-infocom/</guid><description>&lt;p&gt;The paper &lt;em&gt;&amp;ldquo;Uplink Multi-User Beamforming on Single RF Chain mmWave
WLANs,&amp;rdquo;&lt;/em&gt; authored by &lt;strong&gt;Keerthi Priya Dasala&lt;/strong&gt;, &lt;strong&gt;Edward Knightly&lt;/strong&gt;, and
Josep M. Jornet (Northeastern University), won the Best Paper Award at
&lt;strong&gt;IEEE INFOCOM 2021&lt;/strong&gt;.&lt;/p&gt;
&lt;p&gt;
&lt;/p&gt;</description></item></channel></rss>