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IncheolJung 1 month ago
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  1. 2
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<div id="logo"> <div id="logo">
<a href="/" alt="Advanced Computational Electromagnetics (ACEM) Research Group">ACEM</a> <a href="/" alt="Advanced Computational Electromagnetics (ACEM) Research Group">ACEM</a>
</div> </div>
<div id="navItems"><li ><a href="/">Home</a></li><li ><a href="/research/">Research</a></li><li ><a href="/applications/">Applications</a></li><li ><a href="/publications/">Publications</a></li><li ><a href="/team/">Team</a></li></div> <div id="navItems"><li ><a href="/">Home</a></li><li ><a href="/research/">Research</a></li><li ><a href="/applications/">Applications</a></li><li ><a href="/publications/">Publications</a></li><li ><a href="/software/">Software</a></li><li ><a href="/team/">Team</a></li></div>
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</div> </div>
<div id="navItems"><li ><a href="/">Home</a></li><li ><a href="/research/">Research</a></li><li class="current"><a href="/applications/">Applications</a></li><li ><a href="/publications/">Publications</a></li><li ><a href="/team/">Team</a></li></div> <div id="navItems"><li ><a href="/">Home</a></li><li ><a href="/research/">Research</a></li><li class="current"><a href="/applications/">Applications</a></li><li ><a href="/publications/">Publications</a></li><li ><a href="/software/">Software</a></li><li ><a href="/team/">Team</a></li></div>
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<div id="logo"> <div id="logo">
<a href="/" alt="Advanced Computational Electromagnetics (ACEM) Research Group">ACEM</a> <a href="/" alt="Advanced Computational Electromagnetics (ACEM) Research Group">ACEM</a>
</div> </div>
<div id="navItems"><li class="current"><a href="/">Home</a></li><li ><a href="/research/">Research</a></li><li ><a href="/applications/">Applications</a></li><li ><a href="/publications/">Publications</a></li><li ><a href="/team/">Team</a></li></div> <div id="navItems"><li class="current"><a href="/">Home</a></li><li ><a href="/research/">Research</a></li><li ><a href="/applications/">Applications</a></li><li ><a href="/publications/">Publications</a></li><li ><a href="/software/">Software</a></li><li ><a href="/team/">Team</a></li></div>
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<h1 id="group-news">Group News</h1> <h1 id="group-news">Group News</h1>
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<h2 id="keynote-talk-at-tau-antenna-symposium">2025, Keynote talk at TAU Antenna Symposium</h2>
<p>Prof. Zhen Peng delivered a keynote talk at the 13th Tel Aviv University Antenna Symposium titled “Empowering Smart Radio Environments with Quantum Computing and Machine Intelligence.” In this talk, he discussed how quantum computing (QC) can offer a scalable path to tackling the computational complexity of large-scale optimization, and how machine intelligence can enable real-time propagation analysis and 4D channel modeling for RIS-assisted wireless networks. These advances show a viable way forward for empowering the vision of smart radio environments in NextG Wireless.</p>
<p>We would like to thank the Prof. Amir Boag at Tel Aviv University for the kind invitation.</p>
<h2 id="best-emc-symposium-paper-award-2nd-place">2025, Best EMC Symposium Paper Award (2nd Place)</h2> <h2 id="best-emc-symposium-paper-award-2nd-place">2025, Best EMC Symposium Paper Award (2nd Place)</h2>
<p class="textCol">We are honored to receive the Best EMC Symposium Paper Award (Honorable Mention) at the 2025 IEEE International Symposium on Electromagnetic Compatibility, Signal &amp; Power Integrity (EMC+SIPI). This prestigious award recognizes the two most outstanding papers presented at the symposium.<br /> <p class="textCol">We are honored to receive the Best EMC Symposium Paper Award (Honorable Mention) at the 2025 IEEE International Symposium on Electromagnetic Compatibility, Signal &amp; Power Integrity (EMC+SIPI). This prestigious award recognizes the two most outstanding papers presented at the symposium.<br />

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<a href="/" alt="Advanced Computational Electromagnetics (ACEM) Research Group">ACEM</a> <a href="/" alt="Advanced Computational Electromagnetics (ACEM) Research Group">ACEM</a>
</div> </div>
<div id="navItems"><li ><a href="/">Home</a></li><li ><a href="/research/">Research</a></li><li ><a href="/applications/">Applications</a></li><li class="current"><a href="/publications/">Publications</a></li><li ><a href="/team/">Team</a></li></div> <div id="navItems"><li ><a href="/">Home</a></li><li ><a href="/research/">Research</a></li><li ><a href="/applications/">Applications</a></li><li class="current"><a href="/publications/">Publications</a></li><li ><a href="/software/">Software</a></li><li ><a href="/team/">Team</a></li></div>
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<div id="navItems"><li ><a href="/">Home</a></li><li class="current"><a href="/research/">Research</a></li><li ><a href="/applications/">Applications</a></li><li ><a href="/publications/">Publications</a></li><li ><a href="/team/">Team</a></li></div> <div id="navItems"><li ><a href="/">Home</a></li><li class="current"><a href="/research/">Research</a></li><li ><a href="/applications/">Applications</a></li><li ><a href="/publications/">Publications</a></li><li ><a href="/software/">Software</a></li><li ><a href="/team/">Team</a></li></div>
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<div id="navItems"><li ><a href="/">Home</a></li><li class="current"><a href="/research/">Research</a></li><li ><a href="/applications/">Applications</a></li><li ><a href="/publications/">Publications</a></li><li ><a href="/team/">Team</a></li></div> <div id="navItems"><li ><a href="/">Home</a></li><li class="current"><a href="/research/">Research</a></li><li ><a href="/applications/">Applications</a></li><li ><a href="/publications/">Publications</a></li><li ><a href="/software/">Software</a></li><li ><a href="/team/">Team</a></li></div>
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<div id="navItems"><li ><a href="/">Home</a></li><li class="current"><a href="/research/">Research</a></li><li ><a href="/applications/">Applications</a></li><li ><a href="/publications/">Publications</a></li><li ><a href="/team/">Team</a></li></div> <div id="navItems"><li ><a href="/">Home</a></li><li class="current"><a href="/research/">Research</a></li><li ><a href="/applications/">Applications</a></li><li ><a href="/publications/">Publications</a></li><li ><a href="/software/">Software</a></li><li ><a href="/team/">Team</a></li></div>
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</div> </div>
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<p>Sangrui Luo: <em>sangrui2 at illinois.edu</em></p> <p>Sangrui Luo: <em>sangrui2 at illinois.edu</em></p>
<p>Qi Jian Lim: <em>qjlim2 at illinois.edu</em></p>
<p>Gonzalo Núñez Muñoz: <em>gonzalo9 at illinois.edu</em></p> <p>Gonzalo Núñez Muñoz: <em>gonzalo9 at illinois.edu</em></p>
<p>Ge Cao: <em>gecao2 at illinois.edu</em></p> <p>Ge Cao: <em>gecao2 at illinois.edu</em></p>
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<h2 id="former-group-members">Former Group Members</h2> <h2 id="former-group-members">Former Group Members</h2>
<p>Kenneth Jao (MS Graduate Student): <em>ksjao2 at illinois.edu</em></p>
<p>Charles Ross (PhD Graduate Student): <em>cr26 at illinois.edu</em></p> <p>Charles Ross (PhD Graduate Student): <em>cr26 at illinois.edu</em></p>
<p>Kenneth Jao (MS Graduate Student): <em>ksjao2 at illinois.edu</em></p> <p>Qi Jian Lim: <em>qjlim2 at illinois.edu</em></p>
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@ -23,6 +23,12 @@ Welcome to the Advanced and Applied Computational Electromagnetics (ACEM) Group,
<div class="smallItemList" markdown="1"> <div class="smallItemList" markdown="1">
## 2025, Keynote talk at TAU Antenna Symposium
Prof. Zhen Peng delivered a keynote talk at the 13th Tel Aviv University Antenna Symposium titled “Empowering Smart Radio Environments with Quantum Computing and Machine Intelligence.” In this talk, he discussed how quantum computing (QC) can offer a scalable path to tackling the computational complexity of large-scale optimization, and how machine intelligence can enable real-time propagation analysis and 4D channel modeling for RIS-assisted wireless networks. These advances show a viable way forward for empowering the vision of smart radio environments in NextG Wireless.
We would like to thank the Prof. Amir Boag at Tel Aviv University for the kind invitation.
## 2025, Best EMC Symposium Paper Award (2nd Place) ## 2025, Best EMC Symposium Paper Award (2nd Place)
{:.textCol} {:.textCol}

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---
layout: post
title: Software
permalink: /software/
---
# Open Source Software
<div class="softwareItemList" markdown="1">
## RayProNet: A Neural Point Field Framework for Radio Propagation Modeling in 3D Environments
![RayProNet:Workflow](/assets/images/software/RayProNet1.png)
{:.textCol}
The radio wave propagation channel is central to the performance of wireless communication systems. In this paper, we introduce a novel machine learning-empowered methodology for 3D wireless channel modeling. The key ingredients include a point-cloud-based neural network and a spherical Harmonics encoder with light probes. Our approach offers several significant advantages, including the flexibility to adjust antenna radiation patterns and transmitter/receiver locations, the capability to predict radio power maps, and the scalability of large-scale wireless scenes. As a result, it lays the groundwork for an end-to-end pipeline for network planning and deployment optimization. The proposed work is validated in various outdoor and indoor radio environments.
{:.imgCol}
![RayProNet:Demonstration](/assets/images/software/RayProNet2.png)
Code (GitHub): [https://github.com/GeCao/neural-point-EM-field ](https://github.com/GeCao/neural-point-EM-field ) \\
Videa (Vimeo): [https://vimeo.com/1096085994](https://vimeo.com/1096085994) \\
Paper DOI: [https://ieeexplore.ieee.org/document/10684152](https://ieeexplore.ieee.org/document/10684152)

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main/team.md
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@ -34,8 +34,6 @@ Shen Lin: *shenlin2 at illinois.edu*
Sangrui Luo: *sangrui2 at illinois.edu* Sangrui Luo: *sangrui2 at illinois.edu*
Qi Jian Lim: *qjlim2 at illinois.edu*
Gonzalo Núñez Muñoz: *gonzalo9 at illinois.edu* Gonzalo Núñez Muñoz: *gonzalo9 at illinois.edu*
Ge Cao: *gecao2 at illinois.edu* Ge Cao: *gecao2 at illinois.edu*
@ -50,6 +48,8 @@ Yunkai Yu: *yunkaiy2 at illinois.edu*
## Former Group Members ## Former Group Members
Kenneth Jao (MS Graduate Student): *ksjao2 at illinois.edu*
Charles Ross (PhD Graduate Student): *cr26 at illinois.edu* Charles Ross (PhD Graduate Student): *cr26 at illinois.edu*
Kenneth Jao (MS Graduate Student): *ksjao2 at illinois.edu* Qi Jian Lim: *qjlim2 at illinois.edu*

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software/RayProNet/RayProNet.md
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# RayProNet: A Neural Point Field Framework for Radio Propagation Modeling in 3D Environments
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