Initial commit, basic format setup.

main
Kenneth Jao 2 years ago
commit 46aa98588b
  1. 5
      .gitignore
  2. 25
      404.html
  3. 33
      Gemfile
  4. 84
      Gemfile.lock
  5. 47
      _config.yml
  6. 8
      _data/navigation.yml
  7. 13
      _data/slideshow.yml
  8. 0
      _includes/foot.html
  9. 25
      _includes/head.html
  10. 9
      _includes/navigation.html
  11. 64
      _layouts/banner.html
  12. 10
      _layouts/post.html
  13. 29
      _posts/2023-03-27-welcome-to-jekyll.markdown
  14. 275
      _sass/main.scss
  15. 24
      about.md
  16. 3
      assets/css/styles.scss
  17. 3
      assets/images/bessel.svg
  18. BIN
      assets/images/people/ZhenPeng.jpg
  19. BIN
      assets/images/research/1010ABQDowntownAntenna.png
  20. BIN
      assets/images/research/ABQFullWave.png
  21. BIN
      assets/images/research/CarrierAntenna.png
  22. BIN
      assets/images/research/DDOverview.png
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      assets/images/research/ICCavityCase.png
  24. BIN
      assets/images/research/IC_COE_Cavity_Result2.png
  25. BIN
      assets/images/research/Motivation.png
  26. BIN
      assets/images/research/ParallelStrategy.png
  27. BIN
      assets/images/research/ProblemStatement.jpg
  28. BIN
      assets/images/research/ResearchOverview2019.png
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      assets/images/research/SGFComm.png
  30. BIN
      assets/images/research/TwoAntennas1.png
  31. BIN
      assets/images/research/TwoAntennas2.png
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      assets/images/slideshow/five.jpg
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      assets/images/slideshow/four.webp
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      assets/images/slideshow/one.jpg
  35. BIN
      assets/images/slideshow/three.webp
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      assets/images/slideshow/two.webp
  37. 25
      index.md
  38. 464
      publications.md
  39. 67
      research.md

5
.gitignore vendored

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_site
.sass-cache
.jekyll-cache
.jekyll-metadata
vendor

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---
permalink: /404.html
layout: banner
---
<style type="text/css" media="screen">
.container {
margin: 10px auto;
max-width: 600px;
text-align: center;
}
h1 {
margin: 30px 0;
font-size: 4em;
line-height: 1;
letter-spacing: -1px;
}
</style>
<div class="container">
<h1>404</h1>
<p><strong>Page not found :(</strong></p>
<p>The requested page could not be found.</p>
</div>

@ -0,0 +1,33 @@
source "https://rubygems.org"
# Hello! This is where you manage which Jekyll version is used to run.
# When you want to use a different version, change it below, save the
# file and run `bundle install`. Run Jekyll with `bundle exec`, like so:
#
# bundle exec jekyll serve
#
# This will help ensure the proper Jekyll version is running.
# Happy Jekylling!
gem "jekyll", "~> 4.3.2"
# This is the default theme for new Jekyll sites. You may change this to anything you like.
gem "minima", "~> 2.5"
# If you want to use GitHub Pages, remove the "gem "jekyll"" above and
# uncomment the line below. To upgrade, run `bundle update github-pages`.
# gem "github-pages", group: :jekyll_plugins
# If you have any plugins, put them here!
group :jekyll_plugins do
gem "jekyll-feed", "~> 0.12"
end
# Windows and JRuby does not include zoneinfo files, so bundle the tzinfo-data gem
# and associated library.
platforms :mingw, :x64_mingw, :mswin, :jruby do
gem "tzinfo", ">= 1", "< 3"
gem "tzinfo-data"
end
# Performance-booster for watching directories on Windows
gem "wdm", "~> 0.1.1", :platforms => [:mingw, :x64_mingw, :mswin]
# Lock `http_parser.rb` gem to `v0.6.x` on JRuby builds since newer versions of the gem
# do not have a Java counterpart.
gem "http_parser.rb", "~> 0.6.0", :platforms => [:jruby]

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GEM
remote: https://rubygems.org/
specs:
addressable (2.8.1)
public_suffix (>= 2.0.2, < 6.0)
colorator (1.1.0)
concurrent-ruby (1.2.2)
em-websocket (0.5.3)
eventmachine (>= 0.12.9)
http_parser.rb (~> 0)
eventmachine (1.2.7)
ffi (1.15.5)
forwardable-extended (2.6.0)
google-protobuf (3.22.2-x86_64-linux)
http_parser.rb (0.8.0)
i18n (1.12.0)
concurrent-ruby (~> 1.0)
jekyll (4.3.2)
addressable (~> 2.4)
colorator (~> 1.0)
em-websocket (~> 0.5)
i18n (~> 1.0)
jekyll-sass-converter (>= 2.0, < 4.0)
jekyll-watch (~> 2.0)
kramdown (~> 2.3, >= 2.3.1)
kramdown-parser-gfm (~> 1.0)
liquid (~> 4.0)
mercenary (>= 0.3.6, < 0.5)
pathutil (~> 0.9)
rouge (>= 3.0, < 5.0)
safe_yaml (~> 1.0)
terminal-table (>= 1.8, < 4.0)
webrick (~> 1.7)
jekyll-feed (0.17.0)
jekyll (>= 3.7, < 5.0)
jekyll-sass-converter (3.0.0)
sass-embedded (~> 1.54)
jekyll-seo-tag (2.8.0)
jekyll (>= 3.8, < 5.0)
jekyll-watch (2.2.1)
listen (~> 3.0)
kramdown (2.4.0)
rexml
kramdown-parser-gfm (1.1.0)
kramdown (~> 2.0)
liquid (4.0.4)
listen (3.8.0)
rb-fsevent (~> 0.10, >= 0.10.3)
rb-inotify (~> 0.9, >= 0.9.10)
mercenary (0.4.0)
minima (2.5.1)
jekyll (>= 3.5, < 5.0)
jekyll-feed (~> 0.9)
jekyll-seo-tag (~> 2.1)
pathutil (0.16.2)
forwardable-extended (~> 2.6)
public_suffix (5.0.1)
rb-fsevent (0.11.2)
rb-inotify (0.10.1)
ffi (~> 1.0)
rexml (3.2.5)
rouge (4.1.0)
safe_yaml (1.0.5)
sass-embedded (1.60.0-x86_64-linux-gnu)
google-protobuf (~> 3.21)
terminal-table (3.0.2)
unicode-display_width (>= 1.1.1, < 3)
unicode-display_width (2.4.2)
webrick (1.8.1)
PLATFORMS
x86_64-linux-gnu
DEPENDENCIES
http_parser.rb (~> 0.6.0)
jekyll (~> 4.3.2)
jekyll-feed (~> 0.12)
minima (~> 2.5)
tzinfo (>= 1, < 3)
tzinfo-data
wdm (~> 0.1.1)
BUNDLED WITH
2.4.10

@ -0,0 +1,47 @@
# Welcome to Jekyll!
#
# This config file is meant for settings that affect your whole blog, values
# which you are expected to set up once and rarely edit after that. If you find
# yourself editing this file very often, consider using Jekyll's data files
# feature for the data you need to update frequently.
#
# For technical reasons, this file is *NOT* reloaded automatically when you use
# 'bundle exec jekyll serve'. If you change this file, please restart the server process.
#
# If you need help with YAML syntax, here are some quick references for you:
# https://learn-the-web.algonquindesign.ca/topics/markdown-yaml-cheat-sheet/#yaml
# https://learnxinyminutes.com/docs/yaml/
#
# Site settings
# These are used to personalize your new site. If you look in the HTML files,
# you will see them accessed via {{ site.title }}, {{ site.email }}, and so on.
# You can create any custom variable you would like, and they will be accessible
# in the templates via {{ site.myvariable }}.
title: ACEM
# email: your-email@example.com
description: >- # this means to ignore newlines until "baseurl:"
Advanced Computational Electromagnetics (ACEM) Research Lab at
University of Illinois Urbana-Champaign.
url: "https://acem.ece.illinois.edu" # the base hostname & protocol for your site, e.g. http://example.com
# Exclude from processing.
# The following items will not be processed, by default.
# Any item listed under the `exclude:` key here will be automatically added to
# the internal "default list".
#
# Excluded items can be processed by explicitly listing the directories or
# their entries' file path in the `include:` list.
#
# exclude:
# - .sass-cache/
# - .jekyll-cache/
# - gemfiles/
# - Gemfile
# - Gemfile.lock
# - node_modules/
# - vendor/bundle/
# - vendor/cache/
# - vendor/gems/
# - vendor/ruby/

@ -0,0 +1,8 @@
- name: Home
link: /
- name: Research
link: /research
- name: Publications
link: /publications
- name: About
link: /about

@ -0,0 +1,13 @@
img_time: 10
fade_time: 2
images:
- caption: Engineering Building 1
filename: one.jpg
- caption: Engineering Building 2
filename: two.webp
- caption: Engineering Building 3
filename: three.webp
- caption: Engineering Building 4
filename: four.webp
- caption: Engineering Building 5
filename: five.jpg

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<head>
<meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1"><!-- Begin Jekyll SEO tag v2.8.0 -->
<title>{{ page.title }} | {{ site.title }}</title>
<meta name="generator" content="Jekyll v4.3.2" />
<meta property="og:title" content="{{ site.title }}" />
<meta property="og:locale" content="en_US" />
<meta name="description" content="{{ page.title }} Page of {{ site.description }}" />
<meta property="og:description" content="{{ page.title }} Page of {{ site.description }}" />
<link rel="canonical" href="{{ site.url }}" />
<meta property="og:url" content="{{ site.url }}" />
<meta property="og:site_name" content="{{ site.title }}" />
<meta property="og:type" content="website" />
<meta name="twitter:card" content="summary" />
<meta property="twitter:title" content="{{ site.title }}" />
<script type="application/ld+json">{"@context":"https://schema.org","@type":"WebSite","description":"{{ page.title }} Page of {{ site.description }}","name":"{{ site.title}} {{ page.title }} Page","url":"{{ site.url }}{% if page.title != 'Home' %}/{{ page.title | downcase }}{% endif %}"}</script>
<!-- End Jekyll SEO tag -->
<!-- Font loading -->
<link rel="preconnect" href="https://fonts.googleapis.com">
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
<link href="https://fonts.googleapis.com/css2?family=Montserrat:ital,wght@0,100;0,200;0,400;0,600;0,800;1,400&display=swap" rel="stylesheet">
<link rel="stylesheet" href="/assets/css/styles.css"><link type="application/atom+xml" rel="alternate" href="http://localhost:4000/feed.xml" title="{{ page.title }} | ACEM" />
</head>

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<nav>
<div class="separator orange"></div>
<ul>
<a id="logo" href="/" alt="Advanced Computational Electromagnetics (ACEM) Research Group">ACEM Research</a>
{%- for item in site.data.navigation -%}
<li {% if page.url == item.link %}class="current"{% endif %}><a href="{{ item.link }}">{{ item.name }}</a></li>
{%- endfor -%}
</ul>
</nav>

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<!DOCTYPE html>
<html lang="en">
{% include head.html %}
<body>
{% include navigation.html %}
{% assign count = site.data.slideshow.images | size %}
{% assign count_f = count | times: 1.0 %}
{% assign img_percent = 100 | divided_by: count_f %}
{% assign img_time_f = site.data.slideshow.img_time | times: 1.0 %}
{% assign fade_percent = site.data.slideshow.fade_time | divided_by: img_time_f | times: img_percent %}
<style>
#slideshow img, span {
animation: slideshow {{ site.data.slideshow.img_time | times: count }}s infinite;
opacity: 0;
}
@keyframes slideshow {
{{ fade_percent }}% {opacity: 1;}
{{ img_percent }}% {opacity: 1;}
{{ img_percent | plus: fade_percent }}% {opacity: 0;}
}
#slideshow .orange {
position: relative;
top: 100%;
}
{% for item in site.data.slideshow.images %}
#slideshow img:nth-child({{ forloop.index }}) { animation-delay: {{ forloop.index0 | times: site.data.slideshow.img_time }}s; }
#slideshow span:nth-child({{ forloop.index | plus: count }}) { animation-delay: {{ forloop.index0 | times: site.data.slideshow.img_time }}s; }
{% endfor %}
</style>
<div id="slideshow">
{%- for item in site.data.slideshow.images -%}
<img src="/assets/images/slideshow/{{ item.filename }}" alt="{{ item.caption }}">
{%- endfor -%}
{%- for item in site.data.slideshow.images -%}
<span alt="{{ item.caption }}">{{ item.caption }}</span>
{%- endfor -%}
<div class="separator orange"></div>
</div>
{%- if page.cardTitle -%}
<div class="topCard">
<div>
<h1>{{ page.cardTitle | upcase }}</h1>
<p>{{ page.cardDesc }}</p>
</div>
</div>
{%- endif -%}
<div id="content" class="banner">
<img id="bessel" src="/assets/images/bessel.svg"></img>
<div>
{{ content }}
</div>
</div>
</body>
</html>

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<!DOCTYPE html>
<html lang="en">
{% include head.html %}
<body>
{% include navigation.html %}
<div id="content" class="post">
{{ content }}
</div>
</body>
</html>

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---
layout: post
title: "Welcome to Jekyll!"
date: 2023-03-27 16:02:27 -0500
categories: jekyll update
---
You’ll find this post in your `_posts` directory. Go ahead and edit it and re-build the site to see your changes. You can rebuild the site in many different ways, but the most common way is to run `jekyll serve`, which launches a web server and auto-regenerates your site when a file is updated.
Jekyll requires blog post files to be named according to the following format:
`YEAR-MONTH-DAY-title.MARKUP`
Where `YEAR` is a four-digit number, `MONTH` and `DAY` are both two-digit numbers, and `MARKUP` is the file extension representing the format used in the file. After that, include the necessary front matter. Take a look at the source for this post to get an idea about how it works.
Jekyll also offers powerful support for code snippets:
{% highlight ruby %}
def print_hi(name)
puts "Hi, #{name}"
end
print_hi('Tom')
#=> prints 'Hi, Tom' to STDOUT.
{% endhighlight %}
Check out the [Jekyll docs][jekyll-docs] for more info on how to get the most out of Jekyll. File all bugs/feature requests at [Jekyll’s GitHub repo][jekyll-gh]. If you have questions, you can ask them on [Jekyll Talk][jekyll-talk].
[jekyll-docs]: https://jekyllrb.com/docs/home
[jekyll-gh]: https://github.com/jekyll/jekyll
[jekyll-talk]: https://talk.jekyllrb.com/

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$font: 'Montserrat', sans-serif;
$illiniblue: #13294B;
$blue1: #0455A4;
$blue2: #1F4096;
$illiniorange: #FF5F0F;
$neutral1: #E8E9EA;
$neutral2: #A5A8AA;
$neutral3: #5E6669;
$font-regular-color: black;
$font-light-color: #1A1A1A;
$font-lighter-color: #525252;
/** Element Setup **/
html, body {
width: 100%;
height: 100%;
margin: 0;
padding: 0;
background-color: darken($neutral1, 10%);
}
h1, h2, h3, h4, h5, h6, a, li, span, p {
font-family: 'Montserrat', sans-serif;
z-index: 1;
}
h1 {
font-weight: 800;
}
h2 {
font-weight: 600;
}
h3 {
font-weight: 600;
text-decoration: underline;
}
h4 {
font-weight: 400;
font-style: italic;
text-decoration: underline;
}
h5, h6 {
font-variant: small-caps;
}
h6 {
font-color: $font-lighter-color;
}
.separator {
width: 100%;
height: 0.5em;
z-index: 5;
}
.orange {
background-color: $illiniorange;
}
.blue {
background-color: $illiniblue;
}
a {
font-weight: 400;
font-color: $blue1;
font-variant: small-caps;
}
a, a:hover, a:visited, a:active {
color: inherit;
text-decoration: none;
}
/* Navigation */
nav {
position: sticky;
top: 0;
margin: 0;
padding: 0;
width: 100%;
height: 4em;
z-index: 100;
background-color: $neutral1;
box-shadow: 0 0.25rem 0.25rem rgba(0,0,0,0.5);
ul {
max-width: 70%;
margin: 0 auto 0 auto;
padding: 0;
height: 3.5em;
text-align: right;
align-items: center;
#logo {
font-family: $font;
font-weight: 400;
font-size: 1.5em;
padding: 0.55em;
float: left;
}
li {
width: 10em;
height: 100%;
display: inline-block;
font-size: 1em;
background-color: $neutral1;
text-align: center;
list-style-type: none;
cursor: pointer;
transition: background-color ease-in-out 0.1s;
a {
display: inline-block;
padding: 1.1em 0 1.1em 0;
width: 100%;
font-weight: 400;
font-variant: normal;
}
}
li:hover {
background-color: darken($neutral1, 10%);
}
}
}
.current {
background-color: $illiniorange;
color: $neutral1;
}
.current:hover {
background-color: darken($illiniorange, 5%);
}
/* Slideshow */
#slideshow {
position: absolute;
top: 4em;
width: 100%;
height: 30em;
img {
position: absolute;
width: 100%;
height: 100%;
object-fit: cover;
}
span {
position: absolute;
bottom: 1em;
right: 2%;
background-color: rgba(0,0,0,0.8);
color: $neutral1;
font-weight: 200;
z-order: 10;
padding: 0.5em;
}
}
/* Top Card */
@keyframes slideCard {
from { top: 24em; opacity: 0}
to { top: 20em; opacity: 1}
}
.topCard {
position: absolute;
top: 20em;
left: 0;
right: 0;
width: 20em;
height: 18em;
margin: 0 auto 0 auto;
text-align: center;
z-index: 10;
animation: slideCard 1s;
filter: drop-shadow(0.25em 0.3em 0.4em rgba(0,0,0,0.8));
div {
height: 100%;
padding: 2em;
clip-path: polygon(0 0, 100% 0, 100% 70%, 50% 100%, 0 70%);
background-color: rgba($illiniblue, 0.8);
h1 {
margin: 0;
font-weight: 100;
font-size: 3.8em;
color: $neutral1;
}
p {
margin-bottom: 5em;
font-weight: 400;
font-size: 1em;
color: darken($neutral1, 10%);
}
}
}
/* Content */
#content {
max-width: 60%;
margin: 0 auto 0 auto;
position: absolute;
left: 0;
right: 0;
bot: 0;
background-color: $neutral1;
padding: 2em 4em 4em 4em;
div {
position: relative;
z-index: 1;
}
}
.banner {
top: 34em;
padding-top: 6em !important;
}
.post {
top: 4em;
}
#bessel {
position: absolute;
left: 0;
top: 1em;
z-index: 0;
opacity: 0.3
}
.markdown-img {
width: 100%;
}

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---
layout: banner
title: About
permalink: /about
cardTitle: About
cardDesc: We are research group in the Department of Electrical Engineering at the University of Illinois Urbana-Champaign, focusing on computational electromagnetics.
---
# Group Members
# Zhen Peng
![ZhenPeng](/assets/images/people/ZhenPeng.jpg)
# Contact
If there are any questions...

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---
---
@import "main";

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---
# Feel free to add content and custom Front Matter to this file.
# To modify the layout, see https://jekyllrb.com/docs/themes/#overriding-theme-defaults
layout: banner
title: Home
cardTitle: Goals
cardDesc: We focus on developing mathematical and computational models to further the understanding and prediction of classical, chaotic, and quantum wave phenomena.
---
# Home
## Small Home
### Smaller Home
#### Discussion
##### Partials
###### Appendices
Cool beans.

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---
layout: post
title: Publications
permalink: /publications
---
# Publications
## 2019
[J.2] Shen Lin, Zhen Peng and Thomas Antonsen, "A Stochastic Green's Function for Solution of Wave Propagation in Wave-Chaotic Environments," IEEE Transactions on Antennas and Propagation, DOI: 10.1109/TAP.2019.2963568 (email: zvpeng@illinois.edu)
[J.1] Shu Wang, Yang Shao, and Zhen Peng, "A Parallel-in-Space-Time Method for Transient Electromagnetic Problems", IEEE Transactions on Antennas and Propagation, DOI: 10.1109/TAP.2019.2909937, 2019. 
[C.6] Shu Wang and Zhen Peng, ``A Novel Space-Time Building Block Methodology for Transient Electromagnetic Analysis,'' 28th Conference on Electrical Performance of Electronic Packaging and Systems, Montreal, Canada October 2019. (Best Paper Award)
[C.5] Shen Lin, Zhen Peng, Edl Schamiloglu, Zachary B. Drikas, and Thomas Antonsen, “Novel Statistical Model for the Electromagnetic Coupling to Electronics inside Enclosures,'' 2019 IEEE International Symposium on Electromagnetic Compatibility, Signal & Power Integrity, New Orleans, Louisiana, USA, July 2019. (IEEE EMC Symposium Best Paper Award)
[C.4] Shen Lin and Zhen Peng, “Physics-Oriented Statistical Analysis of Information Transmission in Wave-Chaotic Environments,” IEEE International Symposium on Antennas and Propagation and USNC-URSI National Radio Science Meeting (2019 IEEE AP-S/USNC-URSI), Atlanta, Georgia, USA, July 2019. (Honorable Mention Award in Student Paper Competition)
[C.3] Shu Wang and Zhen Peng,  “Space-Time Building Block for Multiscale Transient Electromagnetic Analysis,” 2019 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, Boston, USA, May 2019. 
[C.2] Oameed Noakoasteen, Shu Wang and Zhen Peng,  “Physics-Informed Deep Neural Networks for Transient Electromagnetic Analysis,” 2019 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, Boston, USA, May 2019. (3rd place in Best Student Paper Competition)
[C.1] Shu Wang, Brian Mackie-Mason and Zhen Peng, “Platform-Aware In-Situ Antenna and Metamaterial Analysis and Design," 2019 International Applied Computational Electromagnetics Society (ACES) Symposium, Miami, Florida, USA, April 2019. (Best Student Paper Award)
## 2018
[J.2] Brian MacKie-Mason, Yang Shao, Andrew Greenwood and Zhen Peng, "A supercomputing-enabled first-principles analysis of radio wave propagation in urban environments," IEEE Transactions on Antennas and Propagation, DOI: 10.1109/TAP.2018.2874674, 2018. (special issue on Radio Wave Propagation)
[J.1] Hong-Wei Gao, Zhen Peng, and Xin-Qing Sheng, "A coarse-grained integral equation method for multi-scale electromagnetic analysis," IEEE Transactions on Antennas and Propagation, vol. 66, no. 3, pp. 1607-1612, March 2018.
[C.8] Shu Wang and Zhen Peng, “Parallel-in-Space-Time Analysis of Electromagnetic Interference in Electronic Enclosures,” 2018 IEEE 27th Conference on Electrical Performance of Electronic Packaging Systems (EPEPS), San Jose, October 2018. (Best Student Paper Award Finalist)
[C.7] Shen Lin, Evelyn Dohme and Zhen Peng, “A Stochastic Green’s Function - Integral Equation Method for Communication in Diffusive Multipath Environments,” 2018 International Conference on Electromagnetics in Advanced Applications (ICEAA), Cartagena, Colombia, September 2018. (ICEAA IEEE-APWC Best Paper Award)
[C.6] Shen Lin and Zhen Peng, “First-Principles Statistical Model of Communication Through Wave-Chaotic Environments,” IEEE International Symposium on Antennas and Propagation and USNC-URSI National Radio Science Meeting (2018 IEEE AP-S/USNC-URSI), Boston, Massachusetts, USA, July 2018. (Honorable Mention Award in Student Paper Competition)
[C.5] Shu Wang and Zhen Peng, “Breaking the Scaling Limit: A Parallel-in-Space-and-Time Method for Transient Electromagnetic Problems,” IEEE International Symposium on Antennas and Propagation and USNC-URSI National Radio Science Meeting (2018 IEEE AP-S/USNC-URSI), Boston, Massachusetts, USA, July 2018.
[C.4] Oameed Noakoasteen, Shu Wang, and Zhen Peng, “Emulation of Transient Electrodynamic Physics via Deep Neural Networks,” IEEE International Symposium on Antennas and Propagation and USNC-URSI National Radio Science Meeting (2018 IEEE AP-S/USNC-URSI), Boston, Massachusetts, USA, July 2018.
[C.3] Zhen Peng, Shen Lin, Edl Schamiloglu, and Thomas Antonsen, “A Stochastic Green’s Function Method for Wave Propagation in Chaotic Environments’,’ 12th European Conference on Antennas and Propagation (EUCAP 2018), London, UK, April 2018. (Invited contribution for Convened Session: Fundamental Challenges and Novel Methodologies in the Next-Generation Computational Electromagnetics)
[C.2] Shu Wang and Zhen Peng, “A Space-Time Domain Decomposition Method for High-fideity Electromagnetic Simulation," 2018 International Applied Computational Electromagnetics Society (ACES) Symposium, Denver, Colorado, USA, March 2018. (Best Student Paper Award)
[C.1] Shen Lin and Zhen Peng, “A Novel Stochastic Integral Equation Method for Wireless Communication in Diffuse Multipath Environments,” 2018 International Applied Computational Electro- magnetics Society (ACES) Symposium, Denver, Colorado, USA, March 2018. (Best Student Paper Award Finalist)
## 2017
[J.2] Zhen Peng, Yang Shao, Hong-Wei Gao, Shu Wang and Shen Lin, “High-Fidelity, high-performance computational algorithms for intra-system electromagnetic interference analysis of IC and elec- tronics,” IEEE Transactions on Components, Packaging and Manufacturing Technology, Invited paper for Special Topics Section on Addressing Signal and Power Integrity in Future Generation Systems. vol. 7, no. 5, pp. 653-668, May 2017. (Best Paper Award among papers published in the Transactions during year 2017)
[J.1] Hong-Wei Gao, Zhen Peng, and Xin-Qing Sheng, “A Geometry-Aware Domain Decomposition Preconditioning for Hybrid Finite Element-Boundary Integral Method,” IEEE Transactions on Antennas and Propagation, vol. 65, no. 4, pp. 1875-1885, April 2017.
[C.12] Shen Lin and Zhen Peng, “A Novel Stochastic Wave Model Statistically Replicating Rever- beration Chambers,” 26th Conference on Electrical Performance of Electronic Packaging and Systems, San Jose, California, USA, October 2017. (Best Student Paper Award)
[C.11] Shu Wang and Zhen Peng, “Space-Time Parallel Computation for Time-Domain Maxwell’s Equations,” 2017 International Conference on Electromagnetics in Advanced Applications (ICEAA), Verona, Italy, September 2017. (ICEAA IEEE-APWC Awards Finalist)
[C.10] Shen Lin and Zhen Peng, “Fusion of First-Principles and Statistical Analysis in Complex Electronics Systems, ” XXXII General Assembly and Scientific Symposium of the International Union of Radio Science (URSIGASS 2017), Montreal, Canada, August 2017. (Invited Talk)
[C.9] Zhen Peng, Yang Shao and Shen Lin, “First-Principles Modeling and Statistical Characterization of Wireless Channels in Complex Electromagnetic Environments, ” XXXII General Assembly and Scientific Symposium of the International Union of Radio Science (URSIGASS 2017), Montreal, Canada, August 2017. (Invited Talk)
[C.8] Shu Wang and Zhen Peng, “A Space-Time Parallel Domain Decomposition Method for High Fidelity Electromagnetic Analysis,” 2017 IEEE International Symposium on Antennas and Propagation and USNC-URSI National Radio Science Meeting, San Diego, California, USA, July 2017.
[C.7] Shen Lin, Zhen Peng, and Thomas Antonsen, “Quantitative Statistical Analysis with Physics-based Surrogate Modeling for Wave Chaotic Systems,” 2017 IEEE International Symposium on Antennas and Propagation and USNC-URSI National Radio Science Meeting, San Diego, California, USA, July 2017. (Honorable Mention Award in Student Paper Competition)
[C.6] Brian Mackie-Mason and Zhen Peng, “Towards Real-time In-Situ Antenna Analysis and Design on Platforms of 1000 Wavelengths,” 2017 IEEE International Symposium on Antennas and Propagation and USNC-URSI National Radio Science Meeting, San Diego, California, USA, July 2017.
[C.5] Yang Shao and Zhen Peng, “Supercomputing-Enabled First-Principles Analysis of Wireless Channels in Urban Environments,” 2017 International Microwave Symposium (IMS), Honolulu, Hawaii, June 2017. (entered into the best IMS Advanced Practice Paper)
[C.4] Zhen Peng and Shen Lin, “EM-CAD for Complex Electronics Systems: A Journey from Order to Chaos,” 2017 IEEE MTT-S International Conference on Numerical Electromagnetic and Mul- tiphysics Modeling and Optimization for RF, Microwave, and Terahertz Applications, Sevilla, Spain, May 2017. (Invited Talk)
[C.3] Zhen Peng, “Geometry-Aware Domain Decomposition Methods in High-Fidelity Electromagnetic Design,” 2017 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization for RF, Microwave, and Terahertz Applications, Sevilla, Spain, May 2017.
[C.2] Shen Lin, Zhen Peng, and Thomas Antonsen, “Fusion of First-Principles and Statistical Analyses in Complex Electronics Systems,” 21th IEEE Workshop on Signal Integrity and Power Integrity (SPI2017), Baveno, Italy, May 2017. (Young Investigator Training Program Awardee)
[C.1] Zhen Peng, “Domain Decomposition in the Wave Chaos Analysis,” 2017 SIAM Conference on Computational Science and Engineering, Atlanta, Georgia, USA, February 2017. (Invited Talk)
## Journal Papers (- 2016):
[38] Zhen Peng, Ralf Hiptmair, Yang Shao and Brian MacKie-Mason, "Domain decomposition preconditioning for surface integral equations in solving challenging electromagnetic scattering problems," IEEE Transactions on Antennas and Propagation, vol. 64, no. 1, pp. 210-223, Jan. 2016.
[37] Brian MacKie-Mason, Andrew Greenwood and Zhen Peng, "An adaptive, parallel surface integral equation solver for very large-scale electromagnetic modeling and simulation," Progress In Electromagnetics Research, Invited paper for the Commemorative Collection on the 150-Year Anniversary of Maxwell's Equations, vol. 154, pp. 143-162, 2015. 
[36] Zhen Peng, "A novel multi-trace boundary integral equation formulation for electromagnetic cavity scattering problems," IEEE Transactions on Antennas and Propagation, ISSN:0018-926X, doi:10.1109/TAP.2015.2458328, 2015.
[35] Ralf Hiptmair, Carlos Jerez-Hanckes, Jin-Fa Lee, and Zhen Peng, "Domain decomposition for boundary integral equations via local multi-trace formulations," in Domain Decomposition Methods in Science and Engineering XXI (J. Erhel, M. J. Gander, L. Halpern, G. Pichot, T. Sassi, and O. Widlund, eds.), vol. 98 of the seriesLecture Notes in Computational Science and Engineering, pp. 43-57, Springer International Publishing, 2014.
[34] Victorita Dolean, Martin Gander, Stephane Lanteri, Jin-Fa Lee and Zhen Peng, “Effective transmission conditions for domain decomposition methods applied to the Time-Harmonic Curl-CurlMaxwell’s Equations,” Journal of Computational Physics, doi:10.1016/j.jcp.2014.09.024, 2014.
[33] Zhen Peng, Kheng-Hwee Lim and Jin-Fa Lee, “A boundary integral equation domain decomposition method for electromagnetic scattering from large and deep cavities,” Journal of Computational Physics, doi:10.1016/j.jcp.2014.10.010, 2014.
[32] Jian-Gong Wei, Zhen Peng and Jin-Fa lee, “Multi-scale electromagnetic computations using ahierarchical multi-level fast multipole algorithm,” Radio Science, doi:10.1002/2013RS005250,2014.
[31] Victorita Dolean, Martin Gander, Stephane Lanteri, Jin-Fa Lee and Zhen Peng, "Optimized Schwarz Methods for Curl-Curl Time-Harmonic Maxwell's Equations," in Domain Decomposition Methods in Science and Engineering XXI (J. Erhel, M. J. Gander, L. Halpern, G. Pichot, T. Sassi, and O. Widlund, eds.), vol. 98 of the series Lecture Notes in Computational Science and Engineering, pp. 587-595, Springer International Publishing, 2014.
[30] R. Hiptmair and C. Jerez-Hanckes and J. Lee and Z. Peng, "Domain Decomposition for Boundary Integral Equations via Local Multi-Trace Formulations", in review, SAM Report 2013-08, 2013.
[29] Zhen Peng, Kheng-Hwee Lim and Jin-Fa Lee, “A Discontinuous Galerkin Surface Integral Equation Method for Electromagnetic Wave Scattering From Nonpenetrable targets,” IEEE Transactions on Antennas and Propagation, vol. 61, No. 7, pp. 3617-3628, July 2013. (IEEE Antenna and Propagation Sergei A. Schelkunoff Transactions Prize Paper Award)
[28] Zhen Peng, Kheng-Hwee Lim and Jin-Fa Lee, “Non-conformal Domain Decomposition Methods for Solving Large Multi-scale Electromagnetic Scattering Problems,” Proceedings of the IEEE, vol. 101, no. 2, pp. 298-319, 2013. (Invited paper for Special Issue on Large-scale Electromagnetic Computation for Modeling and Applications)
[27] Zhen Peng, Kheng-Hwee Lim and Jin-Fa Lee, “Computations of Electromagnetic Wave Scattering from Penetrable Composite Targets using a Surface Integral Equation Method with Multiple Traces,” IEEE Transactions on Antennas and Propagation, vol. 61, no. 1, pp. 256-269, 2013. 
[26] Yang Shao, Zhen Peng and Jin-Fa Lee, "Thermal analysis of high-power integrated circuits and packages using non-conformal domain decomposition method," IEEE Transactions on Components, Packaging and Manufacturing Technology, vol. 3, no. 8, pp. 1321-1331, 2013.
[25] Jian-Gong Wei, Zhen Peng, Jin-Fa lee, “A Fast Direct Matrix Solver for Surface Integral Equation Methods for Electromagnetic Wave Scattering from Non-penetratable Targets,” Radio Science, vol. 47, RS5003, 2012.
[24] Zhen Peng and Jin-Fa Lee, “A Scalable Non-overlapping and Non-conformal Domain Decomposition Method for Solving Time-harmonic Maxwell Equations in R3,” SIAM Journal on ScientificComputing., vol. 34, no.3, pp. A1266-A1295, 2012.
[23] Yang Shao, Zhen Peng, Kheng-Hwee Lim and Jin-Fa Lee, “Non-conformal Domain Decomposition Methods for Time Harmonic Maxwell Equations,” Proceedings of the Royal Society A, vol.468, no. 2145, pp. 2433-2460, 2012. (Invited Paper)
[22] Xiao-Min Pan, Wei-Chao Pi, Ming-lin Yang, Zhen Peng and Xin-qing Sheng, “Solving Problems with over One Billion Unknowns by the MLFMA,” IEEE Transactions on Antennas andPropagation, vol. 60, no. 5, pp. 2571-2574, 2012.
[21] Yang Shao, Zhen Peng and Jin-Fa Lee, “Thermal-Aware DC IR-Drop Co-Analysis Using Non-conformal Domain Decomposition Methods,” Proceedings of the Royal Society A, vol. 468, no. 2142, pp. 1652-1675, June, 2012. (Invited Paper)
[20] Xiao-Min Pan, Jian-Gong Wei, Zhen Peng and Xin-Qing Sheng, "A fast algorithm for multiscale electromagnetic problems using interpolative decomposition and multilevel fast multipole algorithm," Radio Science, vol. 47, issue 1, 2012.
[19] Zhen Pengand Jin-Fa Lee, “Non-conformal domain decomposition method with mixed truesecond order transmission condition for solving large finite antenna arrays,” IEEETransactions on Antennas and Propagation, vol. 59, no.5, pp. 1638-1651,2011.
[18] Zhen Peng,Xiaochuan Wang and Jin-Fa Lee, “Integral equation based domain decompositionmethod for solving electromagnetic wave scattering from non-penetrableobjects,” IEEE Transactions on Antennas and Propagation, vol. 59, no. 9, pp. 230-241, 2011.
[17] Yang Shao,Zhen Peng and Jin-Fa Lee, “Full wave 3-D full package signal integrity analysisusing non-conformal domain decomposition method,” IEEE Transactions on MicrowaveTheory and Techniques, vol. 59, no. 2, pp. 230-241, 2011.
[16] XiaochuanWang, Zhen Peng and Jin-Fa Lee, “Multi-solver domain decomposition method formodeling EMC effects of multiple antennas on a large air platform,” IEEETransactions on Electromagnetic Compatibility,10.1109/TEMC.2011.2161871, 2011.
[15] Yang Shao,Zhen Peng and Jin-Fa Lee, “High speed interconnects of multi-layer PCB analysisby using non-conformal domain decomposition method,” IEEE Transactions on AdvancedPackaging, In Press, 2010.
[14] Zhen Peng,Mattew B. Stephanson, and Jin-Fa Lee, “Fast computation of angular responses oflarge-scale three-dimensional electromagnetic wave scattering,” IEEE Transactions on Antennas and Propagation, vol. 58,no.9, pp. 3004-3012, Sep. 2010.
[13] Zhen Pengand Jin-Fa Lee, “Non-conformal domain decomposition method with second ordertransmission conditions for time-harmonic electromagnetics,” Journalof Computational Physics, vol. 229, pp. 5615-5629, 2010.
[12] Zhen Peng,Vineet Rawat, and Jin-Fa Lee, “One way domain decomposition method with secondorder transmission conditions for solving electromagnetic way problems,” Journalof Computational Physics, vol. 229, pp. 1181-1197, 2010.
[11] Xin-Qing Sheng, Zhen Peng, “Analysis of Scattering by Large Objects withOff-diagonally Anisotropic Material Using Finite Element-BoundaryIntegral-Multilevel Fast Multipole Algorithm,” IET Microwave Antennas and Propagation, vol. 4, Iss. 4, pp. 492-500, 2010.
[10] Zhen Peng, Xin-Qing Sheng and F. Yin, “An efficient twofold iterativealgorithm of FE-BI-MLFMA using multilevel inverse-based ILU preconditioning,” Progress In Electromagnetics Research, PIER93, 369-384, 2009.
[9] Zhen Peng and Xin-Qing Sheng, “A flexible and efficientHigher-Order FE-BI-MLFMA for Scattering by a Large Body with Deep Cavities,” IEEE Transactions on Antennas and Propagation, pp. 2031-2042, vol. 56, no. 7,2008.
[8] Zhen Peng and Xin-Qing Sheng, “A bandwidth estimation approach for theasymptotic waveform evaluation technique,” IEEE Transactions on Antennas and Propagation, pp.913-917, vol. 56, no. 3, 2008.
[7] Zhen Peng and Xin-Qing Sheng, “Application of rational functionapproximation technique to hybrid FE-BI-MLFMA,” Acta Electronica Sinica, pp.446-452, vol. 36, no. 3, Mar, 2008.
[6] Zhen Peng and Xin-Qing Sheng, “Application of multilevel ILUpreconditioning technique to hybrid FE/BI/MLFMA method,” Acta Electronica Sinica, pp.230-234, vol. 36, no. 2, Feb., 2008.
[5] Zhen Peng and Xin-Qing Sheng, “Application of rational functionapproximation technique to hybrid FE-BI-MLFMA,” International Journal of RF and Microwave Computer-Aided Engineering, pp. 521-532, vol. 17, no. 6. Nov.2007.
[4] Zhen Peng and Xin-Qing Sheng, “Application of asymptotic waveformapproximation technique to hybrid FE-BI Method for 3D Scattering,” Science in China, Series F: Information Sciences, pp.124-134, vol. 50, no. 1, Feb.2007.
[3] Xin-Qing Sheng and Zhen Peng, “Further cognition of hybrid FE/BI/MLFMA ---investigation of the hybrid computing technique for scattering by large complextargets,” Acta Electronica Sinica, pp.93-98, vol. 34, no. 1, Jan. 2006.
[2] Zhen Peng and Xin-Qing Sheng, “Application of rational functionapproximation technique to hybrid FE/BI/MLFMA for 3D Scattering,” PIERSOnline, pp. 521-532, vol. 3, no. 6. 2007.
[1] Zhen Peng and Xin-Qing Sheng, “Fast algorithm of edge-element forthe high-order modes in dielectric-loaded waveguides with arbitrarilytransverse cross-sections,” Acta Electronica Sinica. pp.2149-2152, vol. 33, no. 12, Dec.2005.
## Recent Conference Papers, 2013-2016:
[44] Shen Lin, Zhen Peng, and Thomas Antonsen, “A hybrid method for quantitative statistical analysis of in-situ IC and electronics in complex and wave-chaotic enclosures,” 2016 Progress In Electromagnetic Research Symposium (PIERS), Shanghai, China, August 2016.
[43] Brian Mackie-Mason and Zhen Peng, “High-fidelity, high-performance integral equation solver for time-harmonic Maxwell’s Equations,” 2016 IEEE International Symposium on Antennas and Propagation and USNC-URSI National Radio Science Meeting, Puerto Rico, USA, June 2016.
[42] Shu Wang, Hong-Wei Gao, Yang Shao, and Zhen Peng, “Scalable full-wave algorithms for signal integrity analysis of 3D ICs and Packages,” 2016 IEEE International Symposium on Antennas and Propagation and USNC-URSI National Radio Science Meeting, Puerto Rico, USA, June 2016.
[41] Shen Lin, Zhen Peng, and Thomas Antonsen, “Multi-scale modeling and stochastic analysis of IC and electronics in complex and wave-chaotic enclosures,” 2016 IEEE International Symposium on Antennas and Propagation and USNC-URSI National Radio Science Meeting, Puerto Rico, USA, June 2016.
[40] Yang Shao, Shu Wang, and Zhen Peng, “Exploring high-fidelity modeling and multi-scale simula- tion methods for EMI/EMC analysis of IC and electronics,” 2016 IEEE International Symposium on Antennas and Propagation and USNC-URSI National Radio Science Meeting, Puerto Rico, USA, June 2016.
[39] Hong-Wei Gao, Zhen Peng, and Xing-Qing Sheng, “A multi-scale surface integral equation do- main decomposition method for high-fidelity electromagnetic simulation,” 2016 IEEE Inter- national Symposium on Antennas and Propagation and USNC-URSI National Radio Science Meeting, Puerto Rico, USA, June 2016.
[38] Zhen Peng, “High-performance surface integral equation solvers towards extreme-scale electro- magnetic computation,” 2016 SIAM Annual Meeting, Boston, Massachusetts, USA, July 2016.
[37] Shen Lin, Zhen Peng, and Thomas Antonsen, “A quantitative statistical analysis of in-situ IC and electronics in complex and wave-chaotic enclosure,” 2016 International Microwave Symposium, San Francisco, California, USA, May 2016.
[36] Shen Lin, Hong-Wei Gao, and Zhen Peng, “High-Fidelity, high-performance full-wave computa- tional algorithm for intra-system EMI analysis of IC and electronics,” 20th IEEE Workshop on Signal Integrity and Power Integrity (SPI2016), Turin, Italy, May 2016.
[35] Zhen Peng and Brian MacKie-Mason, “High-performance surface integral equation solvers to- wards extreme-scale electromagnetic modeling and simulation,” 2016 IEEE International Con- ference on Wireless Information Technology and Systems (ICWITS) and Applied Computational Electromagnetics (ACES), Honolulu, Hawaii, USA, March 2016.
[34] Yang Shao, Shu Wang, and Zhen Peng, “Hierarchical modeling and scalable algorithms forin-situ characterization of 3D IC packages,” 2016 IEEE International Conference on Wireless Information Technology and Systems (ICWITS) and Applied Computational Electromagnetics(ACES), Honolulu, Hawaii, USA, March 2016. 
[33] Zhen Peng, “Recent advances in discontinuous Galerkin boundary element methods for MaxwellEquations,” 2016 USNC-URSI National Radio Science Meeting, Boulder, Colorado, USA, January 2016.
[32] Zhen Peng, Yang Shao and Shu Wang, “Hierarchical Modeling and Scalable Algorithms for In-Situ Analysis of Integrated Circuit Packages, ” 24rd Conference on Electrical Performance ofElectronic Packaging and Systems (EPEPS 2015), San Jose, CA, Oct., 2015.
[31] Zhen Peng and Brian Mackie-Mason, “A Geometry-aware Integral Equation Domain Decomposi-tion Method for Maxwell’s Equations,” 23rd International Conference on Domain DecompositionMethods (DD XXIII), Jeju Island, Korea, July, 2015.
[30] Brian MacKie-Mason and Zhen Peng, “Adaptive, Scalable Domain Decomposition Methods forSurface Integral Equations,” 2015 IEEE International Symposium on Antennas and Propagationand USNC-URSI National Radio Science Meeting, Vancouver, Canada, July, 2015.
[29] ZhenPengandRalfHiptmair,“DiscontinuousGalerkinBoundaryElementMethodsforMaxwell’sEquations: Discretization, Formulation and Preconditioning,” 2015 IEEE International Sympo-sium on Antennas and Propagation and USNC-URSI National Radio Science Meeting, Vancouver, Canada, USA, July, 2015.
[28] Yang Shao, Kheng-Hwee Lim, Zhen Peng and Jin-Fa Lee, “Domain Decomposition Methodswith Fast Direct Solvers for Multi-scale Electromagnetic Problems,” 2015 IEEE InternationalSymposium on Antennas and Propagation and USNC-URSI National Radio Science Meeting,Vancouver, Canada, USA, July, 2015.
[27] Zhen Peng and Brian MacKie-Mason, “Integral equation discontinuous Galerkin methods fortime harmonic electromagnetic wave problems,” The 31th Annual Review of Progress in AppliedComputational Electromagnetics (ACES 2015), Williamsburg, Virginia, USA, March 2015.
[26] Zhen Peng, “High performance domain decomposition methods for simulation-aided design ofcomplex antenna systems,” The 31th Annual Review of Progress in Applied Computational Electromagnetics (ACES 2015), Williamsburg, Virginia, USA, March 2015. 
[25] Zhen Peng and Yang Shao, “High performance domain decomposition methods for signal integrity modeling in 3-D Interconnects, ” 23rd Conference on Electrical Performance of ElectronicPackaging and Systems (EPEPS 2014), Portland, Oregon, Oct., 2014.
[24] Zhen Peng, “Boundary integral equation methods for high-fidelity electromagnetic problems, ”XXXI General Assembly and Scientific Symposium of the International Union of Radio Science(URSIGASS 2014), Beijing, China, August, 2014.
[23] Zhen Peng and Jin-Fa Lee, “Surface integral equation methods for multi-scale electromagneticproblems, ”XXXI General Assembly and Scientific Symposium of the International Union ofRadio Science (URSIGASS 2014), Beijing, China, August, 2014.
[22] Zhen Peng and Yang Shao, “EMI/EMC analysis of complex electronic systems with externalhigh power microwave pulses, ” AMEREM-2014, University of New Mexico, Albuquerque, NewMexico, USA, July, 2014.
[21] Zhen Peng, Mike Klopfer and Ravi K. Jain, “Recent advances in surface integral methods foranalyzing quantum-dot-based plasmonic nano-structures,” 2014 IEEE International Symposiumon Antennas and Propagation and USNC-URSI National Radio Science Meeting, Memphis, Ten-nessee, USA, July, 2014. 
[20] Zhen Peng and Jin-Fa Lee, “Discontinuous Galerkin boundary element methods for complex elec-tromagnetic applications,” 2014 IEEE International Symposium on Antennas and Propagationand USNC-URSI National Radio Science Meeting, Memphis, Tennessee, USA, July, 2014.
[19] Zhen Peng, “Boundary Integral Equation Methods for High-fidelity Composite ElectromagneticProblems,” 2014 CBMS-NSF Conference Fast Direct Solvers for Elliptic PDEs, Dartmouth Col-lege, June, USA.
[18] ZhenPengandJin-FaLee,“IntegralequationdiscontinuousGalerkinmethodsforTime-HarmonicMaxwell Equations,” 12th International Workshop on Finite Elements for Microwave Engineering, Chengdu, China, May, 2014.
[17] Zhen Peng and Jin-Fa Lee, “Boundary integral equation domain decomposition methods for com-plex electromagnetic problems,” 12th International Workshop on Finite Elements for MicrowaveEngineering, Chengdu, China, May, 2014.
[16] Zhen Peng and Jin-Fa Lee, “Discontinuous Galerkin boundary element methods for complexelectromagnetic problems,” The 30th Annual Review of Progress in Applied Computational Elec-tromagnetics (ACES 2014), Jacksonville, Florida, USA, March 2014.
[15] Zhen Peng and Jin-Fa Lee, “Recent advances in surface integral equation formulation for anal-ysis of multi-scale and composite systems,” International Conference on Electromagnetics inAdvanced Applications (ICEAA2013), Torino, Italy, Sep. 2013.
[14] Yang Shao, Zhen Peng and Jin-Fa Lee, “Rigorous conductor modeling of signal integrity inintegrated circuits,” International Conference on Electromagnetics in Advanced Applications(ICEAA2013), Torino, Italy, Sep. 2013.
[13] Zhen Peng and Jin-Fa Lee, “Integral equation discontinuous Galerkin methods for time-harmonicelectromagnetic problems,” Asia-Pacific Radio Science Conference AP-RASC’13, Taipei, Tai-wan, Sep. 2013.
[12] Jue Wang, Zhen Peng and Jin-Fa Lee, “Ferromagnetic nano-wires: homogenization and applica-tions,” Asia-Pacific Radio Science Conference AP-RASC’13, Taipei, Taiwan, Sep. 2013.
[11] Yang Shao, Zhen Peng, Jin-Fa Lee, Diego M. Solis and Jose M. Taboada, “Advances in surfaceintegral equation for nano-scale optical wireless nanolink,” Progress in Electromagnetics ResearchSymposium (PIERS), Stockholm, Sweden, Aug. 2013.
[10] Zhen Peng and Jin-Fa Lee, “Surface integral equation methods for multi-scale composite prob-lems,” Progress in Electromagnetics Research Symposium (PIERS), Stockholm, Sweden, Aug.2013.
[9] Zhen Peng, Kheng-Hwee Lim and Jin-Fa Lee, “A discontinuous Galerkin integral equationmethod for time-harmonic electromagnetic problems,” 2013 IEEE International Symposium onAntennas and Propagation and USNC-URSI National Radio Science Meeting, July 7-13, Or-lando, USA.
[8] Zhen Peng, Kheng-Hwee Lim and Jin-Fa Lee, “A generalized multi-trace surface integral equationdomain decomposition method with optimized transmission condition,” 2013 IEEE InternationalSymposium on Antennas and Propagation and USNC-URSI National Radio Science Meeting,July 7-13, Orlando, USA.
[7] Jue Wang, Zhen Peng and Jin-Fa Lee, “Homogenization and applications of ferromagnetic nanowires based metamaterials,” 2013 IEEE International Symposium on Antennas and Propagationand USNC-URSI National Radio Science Meeting, July 7-13, Orlando, USA.
[6] Jorge Tobon, Francesca Vipiana, Giuseppe Vecchi, Zhen Peng and Jin-Fa Lee, “WidebandEMC/EMI analysis using skeletonalized domain decomposition method,” 2013 IEEE Inter-national Symposium on Antennas and Propagation and USNC-URSI National Radio ScienceMeeting, July 7-13, Orlando, USA. 
[5] Jiangong Wei, Zhen Peng and Jin-Fa Lee, “Multi-scale structures analysis using automatic h-refinement and discontinuous Galerkin integral equation,” 2013 IEEE International Symposiumon Antennas and Propagation and USNC-URSI National Radio Science Meeting, July 7-13,Orlando, USA.
[4] Zhen Peng and Jin-Fa Lee, “A heterogeneous domain decomposition method for the full waveanalysis of complex airborne antenna systems,” International Symposium on ElectromagneticTheory (EMTS 2013), May 20-23, Hiroshima, Japan.
[3] Yang Shao, Zhen Peng, and Jin-Fa Lee, “Rigorous conductor modeling of signal integrity inICs using multi-solver domain decomposition methods,” Progress in Electromagnetics ResearchSymposium (PIERS), Taipei, March 2013.
[2] Jue Wang, Zhen Peng and Jin-Fa Lee, “Homogenization and application of ferromagnetic nano-wires based metamaterials,” Progress in Electromagnetics Research Symposium (PIERS), Taipei,March 2013. 
[1] J.A.T. Vasquez, F. Vipiana, Z. Peng, J.-F. Lee, andG. Vecchi, “An automatic h-refinementscheme for discontinuous Galerkin integral equations in the analysis of multi-scalestructures,” 2013 7th European Conferenceon Antennas and Propagation (EuCAP), pages 4048-4049, Apr. 2013. 
## Conference Papers (2005-2012):
[1] Zhen Peng, Kheng-Hwee Lim and Jin-Fa Lee, “Electromagnetic Scattering Analysis of a Largeand Deep Inlet Embedded in an Arbitrarily Shaped Host Body,” 2012 IEEE International Sym-posium on Antennas and Propagation and USNC-URSI National Radio Science Meeting, July8-14, Chicago, USA.
[2] Zhen Peng, Kheng-Hwee Lim and Jin-Fa Lee, “A Non-conformal Integral Equation DomainDecomposition Method for Electromagnetic Scattering Analysis of Large Multi-Scale Objects,”2012 IEEE International Symposium on Antennas and Propagation and USNC-URSI NationalRadio Science Meeting, July 8-14, Chicago, USA.
[3] Jin-Fa Lee and Zhen Peng, “Comparisons of Heterogeneous Multiscale Finite Element Methodand Localized Homogenization Process for Modeling Aperiodic Metamaterials,” invited paperfor special session Challenging Canonical Scattering Problems and New EM Problems involv-ing Special Materials, 2012 IEEE International Symposium on Antennas and Propagation andUSNC-URSI National Radio Science Meeting, July 8-14, Chicago, USA.
[4] Jue Wang, Zhen Peng, and Jin-Fa Lee, “Conformal PML Modeling in DGTD using ContinuousMaterial Properties.,” 2012 IEEE International Symposium on Antennas and Propagation andUSNC-URSI National Radio Science Meeting, July 8-14, Chicago, USA.
[5] Jian-Gong Wei, Zhen Peng, and Jin-Fa Lee, “A Hierarchical Multi-Level Fast Multipole Methodfor Wideband Multiscale Electromagnetic Wave Scattering from Non-Penetrable Targets in R3,”Student paper contest finalist, 2012 IEEE International Symposium on Antennas and Propaga-tion and USNC-URSI National Radio Science Meeting, July 8-14, Chicago, USA.
[6] Xiao-chuan Wang, Zhen Peng, and Jin-Fa Lee, “A New Integral Equation Based Domain Decom-position Method for Electromagnetic Analysis of Large Multi-Scale Problems,” Student papercontest honorable mention, 2012 IEEE International Symposium on Antennas and Propagationand USNC-URSI National Radio Science Meeting, July 8-14, Chicago, USA.
[7] Zhen Peng, Jin-Fa Lee, V. Dolean, M. J Gander and S. Lanteri, “Speed up Non-conformalDDM Convergence using an Asymmetric Optimal Transmission Condition,” 21th InternationalConference on Domain Decomposition Methods (DD21), June 25 to 29, 2012, Rennes, France.
[8] Zhen Peng and Jin-Fa Lee, “Speed up Non-conformal DDM Convergence using an AsymmetricOptimal Transmission Condition,” 21th International Conference on Domain DecompositionMethods (DD21), June 25 to 29, 2012, Rennes, France.
[9] Zhen Peng, Kheng-Hwee Lim and Jin-Fa Lee, “Non-conformal Domain Decomposition Methodsfor Modeling Large Finite Antenna Arrays,” 11th International Workshop on Finite Elementsfor Microwave Engineering – FEM2012, June 4-6, Colorado, USA.
[10] Zhen Peng and Jin-Fa Lee, “A Non-overlapping and Non-conformal Domain DecompositionMethod with Optimized Second Order Transmission Conditions for Time-Harmonic MaxwellEquations in R3,” 11th International Workshop on Finite Elements for Microwave Engineering– FEM2012, June 4-6, Colorado, USA.
[11] Yang Shao, Zhen Peng and Jin-Fa lee, “Transient Thermal Analysis using a Non-conformal Do-main Decomposition Approach,” 11th International Workshop on Finite Elements for MicrowaveEngineering – FEM2012, June 4-6, Colorado, USA.
[12] Jue Wang, Zhen Peng and Jin-Fa lee, “Conformal PML Modeling in DGTD using ContinuousMaterial Properties,” 11th International Workshop on Finite Elements for Microwave Engineering – FEM2012, June 4-6, Colorado, USA.
[13] Yang Shao, Zhen Peng and Jin-Fa lee, “Thermal-Aware DC IR-Drop Co-Analysis using a Non-conformal Domain Decomposition Approach,” 11th International Workshop on Finite Elementsfor Microwave Engineering – FEM2012, June 4-6, Colorado, USA.
[14] Yang Shao, Zhen Peng and Jin-Fa Lee, “Numerical IR-Drop Analysis of 3-D IC Packaging usingNon-Conformal Domain Decomposition Method,” 2012 Asia-Pacific International SymposiumExhibition on Electromagnetic Compatibility (2012 APEMC), May 21-May 24, Singapore.
[15] Xiao-chuan Wang, Zhen Peng and Jin-Fa lee, “ A Full-wave Solution Strategy for Computing An-tenna Couplings on a Mockup Fighter Aircraft at Ku Band,” 2012 ESA Workshop on AerospaceEMC, May 21-May 23, Venice, Italy. 
[16] Yang Shao,Zhen Peng, and Jin-Fa Lee, ‘’Multi-physics analysis of high-power ICs usingnon-conformal domain decomposition method,’’ 2011 International Conference onElectromagnetics in Advanced Applications (ICEAA), Torino, Italy, Sep.2011.
[17] Zhen Peng,Fei-Ran Lei, Jue Wang and Jin-Fa Lee, “New computational strategies forelectromagnetic modeling of multi-scale heterogeneous composites,” IEEEInternational Symposium on Antennas and Propagation and USNC/URSI NationalRadio Science Meeting, Spokane, Washington, United States., July 2011.
[18] Zhen Peng,Kheng-Hwee Lim and Jin-Fa Lee, “A non-overlapping Boundary integral equationdomain decomposition method for electromagnetic scattering at partly coatedmetallic objects,” IEEE International Symposium on Antennas and Propagation and USNC/URSINational Radio Science Meeting, Spokane, Washington, United States.,July 2011.
[19] JiangongWei, Zhen Peng, and Jin-Fa Lee, “A hierarchical direct solver of surfaceintegral equation methods for electromagnetic wave problems in R3,” IEEEInternational Symposium on Antennas and Propagation and USNC/URSI NationalRadio Science Meeting, Spokane, Washington, United States., July 2011.
[20] Zhen Peng,and Jin-Fa Lee, “A surface integral equation domain decomposition method forthe scattering of the 3-D homogeneous objects,” IEEE International Symposium onAntennas and Propagation and USNC/URSI National Radio Science Meeting,Spokane, Washington, United States., July 2011.
[21]  YuanhongZhao, Matthew Stephanson, Zhen Peng and Jin-Fa Lee, “Helicopter rotormodulation effects on antenna radiation and scattering problem,” IEEEInternational Symposium on Antennas and Propagation and USNC/URSI NationalRadio Science Meeting, Spokane, Washington, United States., July 2011.
[22] Jue wang,Stylianos Dosopoulos, Zhen Peng and Jin-Fa Lee, “High order paralleldiscontinuous Galerkin time domain method with curvilinear element andcontinuously varying material properties for Maxwell’s equations,” IEEEInternational Symposium on Antennas and Propagation and USNC/URSI NationalRadio Science Meeting, Spokane, Washington, United States., July 2011.
[23] Zhen Peng,Jue Wang, Fei-Ran Lei and Jin-Fa Lee, “New computational strategies forelectromagnetic modeling of multi-scale heterogeneous composites,” the5th European Conference on Antennas and Propagation, Rome, Italy, Apr.2011.
[24] Zhen Pengand Jin-Fa Lee, “Domain decomposition method for combined field integralequations in computational electromagnetics,” 20th International Conference onDomain Decomposition Methods, San Diego, California, Feb. 2011.
[25] Zhen Peng,Yang Shao and Jin-Fa Lee, “Advanced model order reduction Technique inreal-life IC/package design,“ IEEE Electrical Design of Advanced Packaging& Systems Symposium, Singapore, Dec. 2010.
[26]  Yang Shao,Zhen Peng and Jin-Fa Lee, “3-D full-package signal integrity analysis using domaindecomposition method,” 19th Conference on ElectricalPerformance of Electronic Packaging and Systems, Austin, Texas, UnitedStates, Oct. 2010.
[27] Zhen Peng,Xiaochuan Wang and Jin-Fa Lee, ‘’Integral equation domain decomposition methodfor solving electromagnetic wave scattering from non-penetrable objects,’’ 2010International Conference on Electromagnetics in Advanced Applications (ICEAA),pp. 821-824, Sydney, Australia, Sept. 2010.
[28]  Yang Shao,Zhen Peng and Jin-Fa Lee, “High speed interconnects of multi-layer PCB analysisby using non-conformal domain decomposition method,” IEEE EMC Symposium, Ft.Lauderdale, Florida, United States, July 2010.
[29] Yang Shao,Zhen Peng and Jin-Fa Lee, “Signal integrity analysis of multi-layer multi-scaleIC-package problem using non-conformal DDM,” The 10th InternationalWorkshop on Finite Elements for Microwave Engineering, Meredith, NewHampshire, United States, 2010.
[30]  XiaochuanWang, Zhen Peng and Jin-Fa Lee, “Simulation of EMC effects of multiple antennason a large air platform,” The 10th International Workshopon Finite Elements for Microwave Engineering, Meredith, New Hampshire,United States., Oct. 2010.
[31] Zhen Peng,Feiran Lei and Jin-Fa Lee, “Recently studies on domain decomposition method forsolving multi-scale electromagnetic wave problem,” The 10th InternationalWorkshop on Finite Elements for Microwave Engineering, Meredith, NewHampshire, United States., Oct. 2010.
[32] Jue Wang,Zhen Peng and Jin-Fa Lee, “Simulation of magnetic photonic crystals for antennaapplications using domain decomposition method,” The 10th InternationalWorkshop on Finite Elements for Microwave Engineering, Meredith, NewHampshire, United States., Oct. 2010.
[33] Zhen Pengand Jin-Fa Lee, “A non-overlapping and non-conformal domain decomposition methodwith second order transmission condition for modeling large finite antennaarrays,” URSI 20th International Symposium on Electromagnetic Theory,Berlin, Germany, Aug., 2010.
[34] Zhen Peng,Xiaochuan Wang, Feiran Lei and Jin-Fa Lee, “Integral equation based domaindecomposition method for electromagnetic wave scattering problem,” URSI20th International Symposium on Electromagnetic Theory,Berlin, Germany, Aug., 2010.
[35] Zhen Peng,Xiao-Chuan Wang and Jin-Fa Lee, “Integral equation based domain decompositionmethod for multi-scale electromagnetic wave problems,” IEEE International Symposium onAntennas and Propagation and USNC/URSI National Radio Science Meeting,Toronto, Ontario, Canada, July 2010.
[36] Zhen Pengand Jin-Fa Lee, “Global plane waves deflation technique and a mixed 2ndorder transmission condition for non-conformal domain decomposition method forsolving multi-scale electromagnetic wave problems,” IEEE International Symposium onAntennas and Propagation and USNC/URSI National Radio Science Meeting,Toronto, Ontario, Canada, July 2010.
[37] Zhen Pengand Jin-Fa Lee, “True 2nd order transmission condition inconjunction with corner edge penalty term for non-conformal domaindecomposition methods in solving time-harmonic Maxwell equations,” IEEEInternational Symposium on Antennas and Propagation and USNC/URSI NationalRadio Science Meeting, Toronto, Ontario, Canada, July 2010.
[38] XiaochuanWang, Zhen Peng, M. Stephanson, and Jin-Fa Lee, ‘’Modeling EMC/EMI effects ofantenna systems on large platforms using multi-solver domain decompositionmethods,’’ the 4th European Conference on Antennas and Propagation, Barcelona,Spain, April 2010.
[39] M.Stephanson, Zhen Peng,, Jiangong Wei, Jin-Fa Lee, ‘’Calderon preconditionedCFIE with MLFMM for acceleration,’’ the 4th European Conference on Antennas andPropagation, Barcelona, Spain, April 2010.
[40] Zhen Peng,Yang Shao and Jin-Fa Lee, “Analyses ofhigh speed interconnects using a non-conformal domain decomposition method,” AsiaPacific Symposium on Electromagnetic Compatibility, Beijing, China,Apr. 2010.
[41] Zhen Peng and Jin-Fa Lee, “An efficient domain decomposition method forsolving extremely large cavity scattering problems,” Progress in Electromagnetics Research Symposium (PIERS), Xian, China, Mar. 2010.
[42] Zhen Peng,Vineet Rawat and Jin-Fa Lee, “Domaindecomposition methods with second order transmission conditions for solvingmulti-scale electromagnetic wave problems,” COMPUMAG , Brazil, Nov.2009.
[43] Zhen Pengand Jin-Fa Lee, “Fast analysis of LCD reflector using full wave method,” IEEEInternational Symposium on Antennas and Propagation and USNC/URSI NationalRadio Science Meeting, Charleston, SC USA, 2009.
[44] Zhen Peng and Jin-Fa Lee, “Study of model order reduction techniques formodeling large antenna array,” IEEE International Symposium on Antennas andPropagation and USNC/URSI National Radio Science Meeting, Charleston,SC USA, 2009.
[45] Zhen Peng and Xin-Qing Sheng, “A twofold iterative algorithm ofhybrid FE/BI/MLFMA based on multilevel ILU preconditioning and node-edgeelement,” Progress in Electromagnetics Research Symposium (PIERS), Beijing, China, 2007.
[46] Zhen Peng and Xin-Qing Sheng, “Application of rational functionapproximation technique to hybrid FE/BI/MLFMA for 3Dscattering,” Progress in Electromagnetics Research Symposium (PIERS),Beijing,China, 2007.
[47] Xin-Qing Sheng and Zhen Peng, “A high performance electromagneticfinite element ---node edge element,” Antenna Symposium of China,May. 2007.
[48] Zhen Peng and Xin-Qing Sheng, “A bandwidth estimation approachfor the asymptotic waveform evaluation technique,” Cross Trait Tri-Regional Wireless Science and Technology Conference, 2007.
[49] Zhen Peng and Xin-Qing Sheng, “A special higher-Order FE-BI-MLFMAfor scattering by large and eeep cavities,” Cross Trait Tri-Regional Wireless Science and Technology Conference, 2007.
[50] Zhen Peng and Xin-Qing Sheng, “A FEM-Based fast algorithm forhigh-order modes in dielectric-loaded waveguides,” Asia-Pacific Microwave Conference (APMC) Proceedings, IEEE Press, pp. 745-749, 2005.
# Awards
## 2020 IEEE AP-S Student Paper Competition 3rd Place Winner
Our Paper “Statistical Analysis of Information Transmission in Ray-Chaotic Enclosures: A Stochastic Green's Function Approach” (Shen Lin and Zhen Peng) won the 3rd place in Student Paper Competition (SPC) at 2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting (2020 IEEE AP-S). A total of 203 student papers entered into the SPC this year.
There has been much interest in studying the physics of wireless channels in strongly scattering, indoor environments displaying ray chaotic dynamics. This paper presents a physics-based mathematical model, so-called stochastic Green’s function, built upon Wigner’s random matrix theory and Berry random wave hypothesis. The work can be used to characterize the channel capacity, spatial correlation, and coherence bandwidth based on macroscopic knowledge of the propagation environment.
## 2019 28th Electrical Performance of Electronic Packaging and System Best Paper Award
Our Paper “A Novel Space-Time Building Block Methodology for Transient Electromagnetic Analysis” (Shu Wang and Zhen Peng) received the Best Paper Award at 28th Electrical Performance of Electronic Packaging and System (EPEPS2019). 
We proposed a space-time building block methodology for efficient time-domain analysis of multi-scale, locally periodic structures. By leveraging the principles of linear superposition and space-time causality in wave physics, the 4D simulation domain is represented by a few space-time building blocks, which are constructed upon 3D spatial unit cell and 1D time unit. The work results in novel time-evolution schemes, which exhibit high-order accuracy and achieve concurrency and parallelism in both spatial and temporal dimensions. 
## 2019 IEEE EMC Symposium Best Paper Award
Our paper, “A Novel Statistical Model for the Electromagnetic Coupling to Electronics inside Enclosures” has been selected as 2019 Best EMC Symposium Paper Award in the 2019 IEEE International Symposium on Electromagnetic Compatibility, Signal & Power Integrity, https://www.emc2019.emcss.org. It is a joint work with Edl Schamiloglu (UNM), Zachary B. Drikas (NRL), and Thomas Antonsen (UMD). The work is supported by NSR CAREER Award, and AFOSR/AFRL Center of Excellence: Science of Electronics in Extreme Electromagnetic Environments. http://ece-research.unm.edu/AFOSR-COE/
## 2019 IEEE AP-S Symposium Student Paper Competition Honorable Mention Award
Mr. Shen Lin received the 2019 IEEE Antennas and Propagation Symposium Student Paper Competition Honorable Mention Award. The title of the paper is “Physics-Oriented Statistical Analysis of Information Transmission in Wave-Chaotic Environments”. 
## 2019 NEMO Conference 3rd Place in Student Paper Competition
Mr. Oameed Noakoasteen received the 3rd place in the student paper competition at 2019 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization. The title of the paper is “Physics-Informed deep Neural Networks for Transient Electromagnetic Analysis”. Congratulations to Oameed.
We propose a deep convolutional encoder-recurrent-decoder architecture to predict the time-evolution in transient electromagnetics. Based on the principles of linear superposition and space-time causality, the network is able to superimpose the learned scattering mechanisms (wave reflection, diffraction, and creeping wave, etc.) locally and emulate the transient electromagnetic problems. It is a joint work with Mr. Shu Wang.
## 2019 ACES Symposium 1st Place in Student Paper Competition
Mr. Shu Wang received the 1st place in the student paper competition at 2019 International Applied Computational Electromagnetics Society (ACES) Symposium. The title of the paper is “Platform-aware In-situ Antenna and Metamaterial Analysis and Design”. Congratulations to Shu!
The objective of this paper is to build a reconfigurable, reusable, and parallel model reduction platform towards transformative in-situ antenna design. The key idea is to introduce a separable and compressible platform Green’s function in an up-front offline computation. Once obtained, the online computational complexity does not depend on the size of the in-situ platform. As a result, in-situ design and optimization of multi-antenna systems can be performed at the same cost as the free-space radiation. The advancements make high-fidelity in-situ antenna design orders of magnitude faster. It is a joint work with Dr. Brian MacKie-Mason and Dr. Hongwei Gao.
## 2019 ACES Symposium Short Course
Ever-increasing fidelity and accuracy needs for advanced electromagnetic (EM) applications have been pushing the problem sizes towards extreme scales. It puts a high premium on the investigation of high-performance algorithms with optimal computational complexity. In recent years, domain decomposition (DD) methods have enjoyed considerable success in solving large multi-scale EM problems. These methods feature divide-and-conquer in solution algorithms (applying the most suitable solution strategy to solve each sub-problem) and plug-in-play in software architectures (integrating individual EM solvers into a portable and extensible solution suite). They also result in highly efficient and naturally parallelizable algorithms on distributed memory many-core parallel computing systems. This short-course will review and discuss recent progresses in the DD methods for solving differential and integral equations with applications to large-scale EM problems.
## 2018 ICEAA - IEEE APWC Best Paper Award
Our paper, “A Stochastic Green’s Function - Integral Equation Method for Communication in Diffusive Multipath Environments,”received Best Paper Award at International Conference on Electromagnetics in Advanced Applications (ICEAA) and IEEE-APS Topical Conference on Antennas andPropagation in Wireless Communications (APWC) (Shen Lin, Evelyn Dohme and Zhen Peng). The work is supported by NSF CAREER Award and AFOSR/AFRL Center of Excellence: Science of Electronics in Extreme Electromagnetic Environments. 
## 2018 Best Paper - IEEE Transactions on Components, Packaging and Manufacturing Technology
Our paper, “High-Fidelity, High-Performance Computational Algorithms for Intersystem Electromagnetic Interference Analysis of IC and Electronics,” has been selected to 2018 Best Paper - IEEE Transactions on Components, Packaging and Manufacturing Technology in the Electrical Performance of Integrated Systems category. The selection of best papers is made by the Editors-in-Chief and Associate Editors from all papers published in the Transaction. 
1The work is supported by AFOSR/AFRL Center of Excellence: Science of Electronics in Extreme Electromagnetic Environments. http://ece-research.unm.edu/AFOSR-COE/
## 2018 ACES Symposium 1st Place in Student Paper Competition
Mr. Shu Wang received the 1st place in the student paper competition at 2018 International Applied Computational Electromagnetics Society (ACES) Symposium. The title of the paper is “A Space-Time Domain Decomposition Method for High-fidelity Electromagnetic Simulation”. Congratulations to Shu!
Shu Wang joined Applied and Computational Electromagnetics Group in 2015. His research is focused on novel computational methods for time domain electromagnetics problems. This paper addresses a growing need for space- time parallel simulation capability in electromagnetics applications. Currently time-dependent EM solvers are typically parallel only in space. The sequential-in-time nature of these solvers can achieve good parallel scaling when the number of spatial mesh points per core is large. But the parallel efficiency quickly deteriorates and even saturates if spatial parallelism has been fully exploited. We proposed a new time domain EM solver to harvest parallelism in both spatial and temporal dimension. This work results in a scalable parallel time domain solver which can amend the scalability issue for traditional ones.
## 2018 National Science Foundation CAREER Award
Dr. Zhen Peng received the National Science Foundation CAREER Award for a project titled "Physics-Oriented Statistical Wave Analysis Integrating Order and Chaos." The award is made by NSF Division of Electrical, Communications and Cyber systems (ECCS), Engineering Directorate.
## 2017 26th Electrical Performance of Electronic Packaging and System Best Paper Award
Mr. Shen Lin received the 26th Electrical Performance of Electronic Packaging and System (EPEPS2017) Best Student Paper Award. The title of the paper is “A novelstochastic wave model statistically replicating reverberation chambers”. Congratulations to Shen!
This paper presents a novel physics-oriented statistical representation for complex multipath environments, and develops a hybrid deterministic and stochastic formulation incorporating component-specific characteristics. The advancements leadto a stochastic wave model statistically replicating mode-stirredreverberation chambers, and establish an imperative design-under-chaos capability for electronic devices and systems. Theresearch work is evaluated and validated through representativeexperiments. 
## 2017 IEEE Albuquerque Section's Outstanding Young Engineer Award 
Dr. Zhen Peng received the IEEE Albuquerque Section's Outstanding Young Engineer Award on 15 May, 2017. Dr. Peng receives the award for the contributions to the development of novel computational electromagnetic algorithms, including a hybrid statistical/deterministic approach for complex wave-chaotic systems. 
## 2017 IEEE AP-S Symposium Student Paper Competition Honorable Mention Award
Mr. Shen Lin received the 2017 IEEE Antennas and Propagation Symposium Student Paper Competition Honorable Mention Award. The title of the paper is “Quantitative Statistical Analysis with Physics-basedSurrogate Modeling for Wave Chaotic Systems”. 
## SPI 2017 Young Investigator Training Program Awardee
Dr. Zhen Peng was selected as an Awardee of 21th IEEE Workshop on Signal and Power Integrity (SPI2016) Young Investigator Training Program. It is a research award to support participation to the conference, as well as travel costs, lodging and meals for a one-month visiting period in one of the research centers at Italy. Dr. Peng is hosted by Prof. Giuseppe Vecchi and Prof. Francesca Vipiana in Politecnico Di Torino, Italy. The research work investigates the automatic localized multi-resolution non-conformal mesh refinement for surface integral equations.
## 2017 International Microwave Symposium (IMS) best Advanced Practice Paper Competition
The paper with title "Supercomputing-Enabled First-Principles Analysis of Wireless Channels in Real-World Environments" entered into the best IMS Advanced Practice Paper in 2017 IEEE IMS symposium.
## UNM ECE 2017 Graduate Student Excellence Award to Brian MacKie-Mason
Brian MacKie is a Ph.D. student in the Department of Electrical and Computer Engineering (ECE) with a focus in computational electromagnetics. He received his M.S. and B.S. from University of Wisconsin-Madison and University of Michigan. Recently, he was awarded with the 2017 UNM ECE Graduate Student Excellence Award for his work on high-performance, high-fidelity integral equation methods for time-harmonic Maxwell Equations. The developed solvers presents quasi-linear computational complexity for high-frequency electromagnetic wave problems. He also received the 3rd prize of ECE Student Paper Competition in 2016. Congratulations to Brian!
## 2016 Young Scientist Awardee at URSI Asia-Pacific Radio Science Conference
Dr. Zhen Peng was selected as one of the Young Scientist Award (YSA) recipients at URSI Asia-Pacific Radio Science Conference.The paper by HongWei Gao, Zhen Peng, and Xin-Qing Sheng, presents the geometry-aware hybrid finite element-boundary internal equation method with scalable convergence and quasi-linear computational complexity.
## SPI 2016 Best Poster Paper Award
The paper by Shen Lin, Hong-Wei Gao and Zhen Peng has received the best poster paper award from 20th IEEE Workshop on Signal Integrity and Power Integrity (SPI 2016). The title of the paper is "High-Fidelity, high-performance full-wave computational algorithm for intra-system EMI analysis of IC and electronics".
## SPI 2016 Young Investigator Training Program Awardee
Dr. Zhen Peng was selected as an Awardee of 20th IEEE Workshop on Signal and Power Integrity (SPI2016) Young Investigator Training Program. It is a research award to support participation to the conference, as well as travel costs, lodging and meals for a one-month visiting period in one of the research centers at Italy. Dr. Peng is hosted by Prof. Maurizio Bozzi and Prof. Luca Perregrini in University of Pavia, Italy. The research work investigates the boundary integral-resonant mode expansion (BI-RME) method and its application in signal integrity problems of IC and electronics.
## UNM ECE Department's Distinguished Researcher Award 2016
Dr. Zhen Peng was awarded The University of New Mexico (UNM) Department of Electrical and Computer Engineering (ECE) 2016 Distinguished Researcher Award. This award honors professor in ECE department who has performed exceptionally well in the year of 2015-2016.
## ACES Early Career Award 2015
Dr. Zhen Peng was awarded The Early Career Award by the Applied Computational Electromagnetics Society (ACES) at its Conference last March in historic Williamsburg, Virginia. This award honors achievements and contributions in the field of computational electromagnetics by a researcher who is under 35 years old.
## Young Scientist Award from URSI GASS 2014
The URSI YoungScientist Awards are presented at the General Assemblies of URSI to recognizean international group of individuals who have made innovative contributionsand discoveries in multidiscipline research related to electromagnetic fieldsand waves. The award recognizes our work on efficient and robustintegral equation based solution of large multi-scale electromagnetic problems.The results obtained through this research greatly simplify the modelpreparation and mesh generation for complex electromagnetic simulation.Moreover, this work provides an effective preconditioning scheme for theintegral equation based solution of multi-scale problems. The strength andflexibility of the proposed method are illustrated by means of severalchallenge real-world applications.
 
## Welcome Ms. Haley Brown and Mr. Michael Sosebee to our group! 
Both Ms. Haley Brown and Mr. Michael Sosebee are high school students, which are hired through the UNM Youth Summer Hire program. The target is on promoting involvement in mathematics and science among New Mexico high school students and collaborating with UNM's teachers to improve the teaching and learning of mathematics and science. 
## 2014 IEEE Antenna and Propagation Sergei A. Schelkunoff Transactions Prize Paper Award! 
We (Z. Peng, K.-H. Lim and J.-F. Lee) are excited to be the awardee of the 2014  IEEE Antenna and Propagation Sergei A. Schelkunoff Transactions Prize Paper Award. The S. A. Schelkunoff Prize paper award recognizes the best paper published in the IEEE Transactions on Antennas and Propagation for the previous Year. The award will be presented at the IEEE APS/URSI Symposium in Memphis. 

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cardDesc: We tackle a broad set of problems relating to electromagnetic phenomena, from classical extreme-scale modeling to electromagnetic information theory.
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# Research Overview
The classical electromagnetic (EM) theory guided by Maxwell’s Equations has been around for over 150 years. It has an incredible impact on many modern technologies such as antennas and wireless communication, integrated circuits and computer technologies, remote sensing, lasers and optoelectronics, and more. Nowadays, with the exponential growth in computing power, machine intelligence and data revolution, quantum technologies and materials, there are enormous opportunities to continue advancing fundamental EM theories towards next-generation technology developments and applications. 
Our rudimentary research is the pursuit of mathematical and computational models that advance the understanding, prediction and discovery of classical, chaotic, and quantum wave phenomena. These models will allow for the design and optimization of novel electromagnetic systems at unprecedented scales, and contribute through education to the advancement of understanding. Our current and future research are concerned with four interrelated areas: (1) classical electromagnetism with scalable algorithms, (2) statistical electromagnetics: theories and practices, (3) quantum electromagnetics: simulating probability in space and time domain, and (4) chaotic reverberation chamber: measurement and control of uncertainties. The diagram of research roadmap and current supports is elaborated as:
![Roadmap](/assets/images/research/ResearchOverview2019.png){:class="markdown-img"}
# Research Topics
## Extreme-Scale Electromagnetic Modeling and Simulation in the Supercomputing Era
##### Collaborators: Ralf Hiptmair@ETH, Andrew Greenwood@AFRL
One basic research I have conducted is the pursuit of robust and yet efficient ways to solve Maxwell equations in their entirety. The research, usually called computational electromagnetics (CEM), is highly mathematical and abstract in itself, and can be stated as one of the principal research topics in electromagnetic fields. The implication and impact of this research is astronomical. It is the heart of modern computer-aided engineering/computer-aided design (CAE/CAD) tools for advanced antennas, radio frequency integrated circuits, electromagnetic interference and compatibility, signal and power integrity and other applications in electromagnetic and microwave engineering. 
Ever-increasing fidelity and accuracy need for advanced EM applications have been pushing the problem sizestowards extreme scales. It puts a high premium on investigation of high-performance algorithms with optimal computational complexity. Moreover, increased demands are being placed on an integrated design andanalysis environment, which requires new simulation tools to be well integrated into design processes. Here,I briefly summarize my research contributions in the high-resolution and high-performance algorithms, whereboth simulation capability and modeling fidelity scale with the exponential growth in computing power. 
![Motivation](/assets/images/research/Motivation.png){:class="markdown-img"} 
![ParallelStrategy](/assets/images/research/ParallelStrategy.png){:class="markdown-img"}
![CarrierAntenna](/assets/images/research/CarrierAntenna.png){:class="markdown-img"}
## Domain Decomposition Methodology for Solving Maxwell's Equations
In recent years, domain decomposition (DD) methods have enjoyed considerable success in solving large multi-scale EM problems. These methods feature divide-and-conquerin solution algorithms (applying the most suitable solution strategy to solve each sub-problem) and plug-in-play in software architectures (integrating individual EM solvers into a portable and extensible solution suite). They also result in highly efficient and naturally parallelizable algorithms on distributed memory many-core parallel computing systems. We have been investigating novel DD algorithms for differential equations, integral equations, transient EM analysis, and reduced order modeling. 
![DomainDecomposition](/assets/images/research/DDOverview.png){:class="markdown-img"}
## First-principles Electromagnetic Field-based Millimeter-Wave Channel Models
##### Collaborator: Christos Christodoulou@UNM
The objective of this work is to investigate a high-resolution and first-principles computationalmethodology for mmWave propagation channels in realistic usage scenarios. The work provides unprecedented resolution in deterministic channel modeling, andoffers a fundamental knowledge of mmWave channel characteristics and propagation behavior. Theadvancements are expected to initiate the transition from traditional ray-based high-frequency approximation to EM field-based full wave modeling methodology.
![DowntownAntenna](/assets/images/research/1010ABQDowntownAntenna.png){:class="markdown-img"}
![ABQFullWave](/assets/images/research/ABQFullWave.png){:class="markdown-img"}
## Physics-Oriented Statistical Wave Analysis Integrating Order and Chaos
##### Collaborators: Thomas Antonsen@UMD, Edl Schamiloglu@UNM, Sameer Hemmady@UNM)
Even though we are seeking the highest possible fidelity, the computer representation will not be exactly the samecompared to the real world. These uncertainties may arise from imprecise knowledge of the system, small differencesin manufacturing, or numerical errors in the simulations. In integrable, regular wave systems, these small differencescan be considered as local perturbations of the entire system. Hence, the numerical solution is still a very goodapproximation to the exact solution of the physical problem. However, the situation can be completely different innon-integrable, wave-chaotic systems. The wave solutions can be extremely sensitive to details and initial conditions.It makes the traditional first-principles deterministic approaches relevant only to a specific realization.
This project investigates an innovative theoretical solution to Maxwell’s Equations in the wave chaotic (random,diffuse) media. The fundamental solution, named stochastic Green’s function, rigorously integrates the coherent andincoherent contributions within a unified compact form. Furthermore, by incorporating the component-, site-, system-specific information with the universal chaotic dynamics, the work accomplishes a comprehensive framework for thestatistical analysis and uncertainty quantification of complex wave systems. The advancements will achieve first-ever an imperative simulation-driven, design-under-chaos capability, and a virtual experimental facility statisticallyreplicating real-world wave propagation environments. 
![CavityCase](/assets/images/research/ICCavityCase.png){:class="markdown-img"}
![TwoAntennas1](/assets/images/research/TwoAntennas1.png){:class="markdown-img"}
![TwoAntennas2](/assets/images/research/TwoAntennas2.png){:class="markdown-img"}
## Electromagnetic Information Theory for Wireless Communication
Electromagnetic field theory provides the fundamental physics of wireless communications. Over the pastdecades, EM theory has played a significant role in the design, performance assessment, and deployment planningof wireless devices and systems. Meanwhile, ever increasing demands for the network capacity in wirelesscommunications have pushed the data rate towards and beyond multi-Gigabits per second (Gbps). Massivedistributed arrays, mm-wave bands, network densification, and new waveforms serve as promising and powerfuloptions for achieving these rates. The major limiting factor preventing these emerging wireless systemsfrom realizing their full potential is our understanding of the physical layer. Specifically, our ability to preciselymodel the physics of wireless signal propagation channels in diverse and complex environments.
The objective of this research is to investigate electromagnetic information theory for wireless communication through complicated diffuse mulitpath environments. Applications include indoor radio channels,dense urban cells, transmission through diffusive random media and disordered media,etc. The objective is attained by cutting across traditional disciplinary boundaries between electromagnetictheory, wave chaos physics, random statistical analysis and information theory. The methodology is to firstestablish fundamental statistical representations of diffuse multipath media, then integrate component-specificfeatures of transmitters and receivers, and finally encode the governing physics into the mathematical information theory. 
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