<html xmlns:v="urn:schemas-microsoft-com:vml" xmlns:o="urn:schemas-microsoft-com:office:office" xmlns:w="urn:schemas-microsoft-com:office:word" xmlns:m="http://schemas.microsoft.com/office/2004/12/omml" xmlns="http://www.w3.org/TR/REC-html40">
<head>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8">
<meta name="Generator" content="Microsoft Word 15 (filtered medium)">
<style><!--
/* Font Definitions */
@font-face
{font-family:Wingdings;
panose-1:5 0 0 0 0 0 0 0 0 0;}
@font-face
{font-family:SimSun;
panose-1:2 1 6 0 3 1 1 1 1 1;}
@font-face
{font-family:"Cambria Math";
panose-1:2 4 5 3 5 4 6 3 2 4;}
@font-face
{font-family:DengXian;
panose-1:2 1 6 0 3 1 1 1 1 1;}
@font-face
{font-family:Calibri;
panose-1:2 15 5 2 2 2 4 3 2 4;}
@font-face
{font-family:"\@SimSun";
panose-1:2 1 6 0 3 1 1 1 1 1;}
@font-face
{font-family:"\@DengXian";
panose-1:2 1 6 0 3 1 1 1 1 1;}
/* Style Definitions */
p.MsoNormal, li.MsoNormal, div.MsoNormal
{margin:0cm;
font-size:12.0pt;
font-family:"Times New Roman",serif;
mso-fareast-language:EN-GB;}
h1
{mso-style-priority:9;
mso-style-link:"Heading 1 Char";
margin-top:12.0pt;
margin-right:0cm;
margin-bottom:0cm;
margin-left:0cm;
page-break-after:avoid;
font-size:16.0pt;
font-family:"Calibri Light",sans-serif;
color:#2F5496;
mso-fareast-language:EN-GB;
font-weight:normal;}
a:link, span.MsoHyperlink
{mso-style-priority:99;
color:#0563C1;
text-decoration:underline;}
p.MsoListParagraph, li.MsoListParagraph, div.MsoListParagraph
{mso-style-priority:34;
margin:0cm;
text-align:justify;
text-justify:inter-ideograph;
text-indent:21.0pt;
font-size:10.5pt;
font-family:"Calibri",sans-serif;
mso-fareast-language:ZH-CN;}
span.EmailStyle17
{mso-style-type:personal-compose;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.Heading1Char
{mso-style-name:"Heading 1 Char";
mso-style-priority:9;
mso-style-link:"Heading 1";
font-family:"Calibri Light",sans-serif;
color:#2F5496;
mso-fareast-language:EN-GB;}
.MsoChpDefault
{mso-style-type:export-only;
font-family:"Calibri",sans-serif;}
@page WordSection1
{size:612.0pt 792.0pt;
margin:72.0pt 72.0pt 72.0pt 72.0pt;}
div.WordSection1
{page:WordSection1;}
/* List Definitions */
@list l0
{mso-list-id:1103722474;
mso-list-type:hybrid;
mso-list-template-ids:445971004 67698689 67698691 67698693 67698689 67698691 67698693 67698689 67698691 67698693;}
@list l0:level1
{mso-level-number-format:bullet;
mso-level-text:;
mso-level-tab-stop:none;
mso-level-number-position:left;
text-indent:-18.0pt;
font-family:Symbol;}
@list l0:level2
{mso-level-number-format:bullet;
mso-level-text:o;
mso-level-tab-stop:none;
mso-level-number-position:left;
text-indent:-18.0pt;
font-family:"Courier New";}
@list l0:level3
{mso-level-number-format:bullet;
mso-level-text:;
mso-level-tab-stop:none;
mso-level-number-position:left;
text-indent:-18.0pt;
font-family:Wingdings;}
@list l0:level4
{mso-level-number-format:bullet;
mso-level-text:;
mso-level-tab-stop:none;
mso-level-number-position:left;
text-indent:-18.0pt;
font-family:Symbol;}
@list l0:level5
{mso-level-number-format:bullet;
mso-level-text:o;
mso-level-tab-stop:none;
mso-level-number-position:left;
text-indent:-18.0pt;
font-family:"Courier New";}
@list l0:level6
{mso-level-number-format:bullet;
mso-level-text:;
mso-level-tab-stop:none;
mso-level-number-position:left;
text-indent:-18.0pt;
font-family:Wingdings;}
@list l0:level7
{mso-level-number-format:bullet;
mso-level-text:;
mso-level-tab-stop:none;
mso-level-number-position:left;
text-indent:-18.0pt;
font-family:Symbol;}
@list l0:level8
{mso-level-number-format:bullet;
mso-level-text:o;
mso-level-tab-stop:none;
mso-level-number-position:left;
text-indent:-18.0pt;
font-family:"Courier New";}
@list l0:level9
{mso-level-number-format:bullet;
mso-level-text:;
mso-level-tab-stop:none;
mso-level-number-position:left;
text-indent:-18.0pt;
font-family:Wingdings;}
@list l1
{mso-list-id:2040861189;
mso-list-type:hybrid;
mso-list-template-ids:-96016686 67698689 67698691 67698693 67698689 67698691 67698693 67698689 67698691 67698693;}
@list l1:level1
{mso-level-number-format:bullet;
mso-level-text:;
mso-level-tab-stop:none;
mso-level-number-position:left;
margin-left:21.0pt;
text-indent:-21.0pt;
font-family:Wingdings;}
@list l1:level2
{mso-level-number-format:bullet;
mso-level-text:;
mso-level-tab-stop:none;
mso-level-number-position:left;
margin-left:42.0pt;
text-indent:-21.0pt;
font-family:Wingdings;}
@list l1:level3
{mso-level-number-format:bullet;
mso-level-text:;
mso-level-tab-stop:none;
mso-level-number-position:left;
margin-left:63.0pt;
text-indent:-21.0pt;
font-family:Wingdings;}
@list l1:level4
{mso-level-number-format:bullet;
mso-level-text:;
mso-level-tab-stop:none;
mso-level-number-position:left;
margin-left:84.0pt;
text-indent:-21.0pt;
font-family:Wingdings;}
@list l1:level5
{mso-level-number-format:bullet;
mso-level-text:;
mso-level-tab-stop:none;
mso-level-number-position:left;
margin-left:105.0pt;
text-indent:-21.0pt;
font-family:Wingdings;}
@list l1:level6
{mso-level-number-format:bullet;
mso-level-text:;
mso-level-tab-stop:none;
mso-level-number-position:left;
margin-left:126.0pt;
text-indent:-21.0pt;
font-family:Wingdings;}
@list l1:level7
{mso-level-number-format:bullet;
mso-level-text:;
mso-level-tab-stop:none;
mso-level-number-position:left;
margin-left:147.0pt;
text-indent:-21.0pt;
font-family:Wingdings;}
@list l1:level8
{mso-level-number-format:bullet;
mso-level-text:;
mso-level-tab-stop:none;
mso-level-number-position:left;
margin-left:168.0pt;
text-indent:-21.0pt;
font-family:Wingdings;}
@list l1:level9
{mso-level-number-format:bullet;
mso-level-text:;
mso-level-tab-stop:none;
mso-level-number-position:left;
margin-left:189.0pt;
text-indent:-21.0pt;
font-family:Wingdings;}
ol
{margin-bottom:0cm;}
ul
{margin-bottom:0cm;}
--></style><!--[if gte mso 9]><xml>
<o:shapedefaults v:ext="edit" spidmax="1026" />
</xml><![endif]--><!--[if gte mso 9]><xml>
<o:shapelayout v:ext="edit">
<o:idmap v:ext="edit" data="1" />
</o:shapelayout></xml><![endif]-->
</head>
<body lang="EN-SG" link="#0563C1" vlink="#954F72" style="word-wrap:break-word">
<div class="WordSection1">
<p class="MsoNormal"><b><span lang="EN-IN" style="font-size:16.0pt;font-family:"Arial",sans-serif;color:black;background:white"><o:p> </o:p></span></b></p>
<p class="MsoNormal"><b><span lang="EN-IN" style="font-size:16.0pt;font-family:"Arial",sans-serif;color:black;background:white"><o:p> </o:p></span></b></p>
<p class="MsoNormal"><b><span lang="EN-IN" style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black;background:white">Call for Papers
<o:p></o:p></span></b></p>
<p class="MsoNormal"><b><span lang="EN-IN" style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black;background:white"><o:p> </o:p></span></b></p>
<h1 style="margin-top:0cm;background:white"><b><span lang="EN-IN" style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black;background:white">Journal: Engineering Applications of Artificial Intelligence, Elsevier (IF: 6.2)<o:p></o:p></span></b></h1>
<p class="MsoNormal"><b><span lang="EN-IN" style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black;background:white"><o:p> </o:p></span></b></p>
<p class="MsoNormal"><b><span lang="EN-IN" style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black;background:white">Special Issue Title: Randomized Deep and Shallow Learning Algorithms
<o:p></o:p></span></b></p>
<p class="MsoNormal"><b><span lang="EN-IN" style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black;background:white"><o:p> </o:p></span></b></p>
<p class="MsoNormal"><b><span lang="EN-IN" style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black;background:white">We welcome submissions on non-randomized algorithms with significant comparisons against randomized algorithms too.
<o:p></o:p></span></b></p>
<p class="MsoNormal"><b><span lang="EN-IN" style="font-family:"Arial",sans-serif;color:black;background:white"><o:p> </o:p></span></b></p>
<p class="MsoNormal"><b><span lang="EN-IN" style="font-family:"Arial",sans-serif;color:black;background:white">Aim and Scope:<o:p></o:p></span></b></p>
<p class="MsoNormal"><b><span lang="EN-IN" style="font-family:"Arial",sans-serif;color:black;background:white"><o:p> </o:p></span></b></p>
<p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph"><span lang="EN-IN" style="font-family:"Arial",sans-serif;color:#222222;mso-fareast-language:EN-US">Randomization-based learning algorithms have received considerable attention from
academics, researchers, and domain workers because randomization-based neural networks can be trained by non-iterative approaches possessing closed-form solutions. Those methods are in general computationally faster than iterative solutions and less sensitive
to parameter settings. Even though randomization-based non-iterative methods have attracted much attention in recent years, their deep structures have not been sufficiently developed nor benchmarked. This special issue aims to bridge this gap.<o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph"><span lang="EN-IN" style="font-family:"Arial",sans-serif;color:#222222;mso-fareast-language:EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph"><span lang="EN-IN" style="font-family:"Arial",sans-serif;color:#222222;mso-fareast-language:EN-US">The first target of this special issue is to present the recent advances of randomization-
based learning methods. Randomization based neural networks usually offer non-iterative closed form solutions. Secondly, the focus is on promoting the concepts of non-iterative optimization with respect to counterparts, such as gradient-based methods and derivative-free
iterative optimization techniques. Besides the dissemination of the latest research results on randomization-based and/or non-iterative algorithms, it is also expected that this special issue will cover some practical applications, present some new ideas and
identify directions for future studies. <o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph"><span lang="EN-IN" style="font-family:"Arial",sans-serif;color:#222222;mso-fareast-language:EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph"><span lang="EN-IN" style="font-family:"Arial",sans-serif;color:#222222;mso-fareast-language:EN-US">Original contributions as well as comparative studies among randomization-based and
non-randomized-based methods are welcome with unbiased literature review and comparative studies. Typical deep/shallow paradigms include (but not limited to) random vector functional link (RVFL), echo state networks (ESN), liquid state networks (LSN), kernel
ridge regression (KRR) with randomization, extreme learning machines (ELM), random forests (RF), CNN with randomization,
</span><span lang="EN-IN" style="font-family:"Arial",sans-serif;color:#222222">broad learning system (BLS), stochastic configuration network (SCN)
</span><span lang="EN-IN" style="font-family:"Arial",sans-serif;color:#222222;mso-fareast-language:EN-US">and so on. All contributions must include sufficient application contents.<o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph"><span lang="EN-IN" style="font-family:"Arial",sans-serif;color:black;background:white"><o:p> </o:p></span></p>
<p class="MsoNormal"><b><span lang="EN-IN" style="font-family:"Arial",sans-serif;color:black;background:white">Topics:<o:p></o:p></span></b></p>
<p class="MsoNormal"><span lang="EN-IN" style="font-family:"Arial",sans-serif;color:black;background:white"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-IN" style="font-family:"Arial",sans-serif;color:black;background:white">The topics</span><span lang="EN-IN" style="font-family:"Arial",sans-serif;color:#222222;mso-fareast-language:EN-US"> of the special issue include (with
randomization-based methods), but are not limited to:</span><span lang="EN-IN" style="font-family:"Arial",sans-serif;color:black;background:white"><o:p></o:p></span></p>
<p class="MsoListParagraph" style="margin-left:21.0pt;text-indent:-21.0pt;mso-list:l1 level1 lfo1">
<![if !supportLists]><span lang="EN-US" style="font-size:12.0pt;font-family:Wingdings;color:#222222;mso-fareast-language:EN-US"><span style="mso-list:Ignore">l<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span lang="EN-US" style="font-size:12.0pt;font-family:"Arial",sans-serif;color:#222222;mso-fareast-language:EN-US">Randomized convolutional neural networks<o:p></o:p></span></p>
<p class="MsoListParagraph" style="margin-left:21.0pt;text-indent:-21.0pt;mso-list:l1 level1 lfo1">
<![if !supportLists]><span lang="EN-US" style="font-size:12.0pt;font-family:Wingdings;color:#222222;mso-fareast-language:EN-US"><span style="mso-list:Ignore">l<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span lang="EN-US" style="font-size:12.0pt;font-family:"Arial",sans-serif;color:#222222;mso-fareast-language:EN-US">Randomized internal representation learning<o:p></o:p></span></p>
<p class="MsoListParagraph" style="margin-left:21.0pt;text-indent:-21.0pt;mso-list:l1 level1 lfo1">
<![if !supportLists]><span lang="EN-US" style="font-size:12.0pt;font-family:Wingdings;color:#222222;mso-fareast-language:EN-US"><span style="mso-list:Ignore">l<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span lang="EN-US" style="font-size:12.0pt;font-family:"Arial",sans-serif;color:#222222;mso-fareast-language:EN-US">Regression, classification and time series analysis by randomization-based methods<o:p></o:p></span></p>
<p class="MsoListParagraph" style="margin-left:21.0pt;text-indent:-21.0pt;mso-list:l1 level1 lfo1">
<![if !supportLists]><span lang="EN-US" style="font-size:12.0pt;font-family:Wingdings;color:#222222;mso-fareast-language:EN-US"><span style="mso-list:Ignore">l<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span lang="EN-US" style="font-size:12.0pt;font-family:"Arial",sans-serif;color:#222222;mso-fareast-language:EN-US">Kernel methods such as kernel ridge regression, kernel adaptive filters, etc. with randomization<o:p></o:p></span></p>
<p class="MsoListParagraph" style="margin-left:21.0pt;text-indent:-21.0pt;mso-list:l1 level1 lfo1">
<![if !supportLists]><span lang="EN-US" style="font-size:12.0pt;font-family:Wingdings;color:#222222;mso-fareast-language:EN-US"><span style="mso-list:Ignore">l<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span lang="EN-US" style="font-size:12.0pt;font-family:"Arial",sans-serif;color:#222222;mso-fareast-language:EN-US">Feedforward, recurrent, multilayer, deep and other structures with randomization<o:p></o:p></span></p>
<p class="MsoListParagraph" style="margin-left:21.0pt;text-indent:-21.0pt;mso-list:l1 level1 lfo1">
<![if !supportLists]><span lang="EN-US" style="font-size:12.0pt;font-family:Wingdings;color:#222222;mso-fareast-language:EN-US"><span style="mso-list:Ignore">l<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span lang="EN-US" style="font-size:12.0pt;font-family:"Arial",sans-serif;color:#222222;mso-fareast-language:EN-US">Ensemble learning with randomization<o:p></o:p></span></p>
<p class="MsoListParagraph" style="margin-left:21.0pt;text-indent:-21.0pt;mso-list:l1 level1 lfo1">
<![if !supportLists]><span lang="EN-US" style="font-size:12.0pt;font-family:Wingdings;color:#222222;mso-fareast-language:EN-US"><span style="mso-list:Ignore">l<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span lang="EN-US" style="font-size:12.0pt;font-family:"Arial",sans-serif;color:#222222;mso-fareast-language:EN-US">Moore-Penrose pseudo inverse, SVD and other solution procedures.
<o:p></o:p></span></p>
<p class="MsoListParagraph" style="margin-left:21.0pt;text-indent:-21.0pt;mso-list:l1 level1 lfo1">
<![if !supportLists]><span lang="EN-US" style="font-size:12.0pt;font-family:Wingdings;color:#222222;mso-fareast-language:EN-US"><span style="mso-list:Ignore">l<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span lang="EN-US" style="font-size:12.0pt;font-family:"Arial",sans-serif;color:#222222;mso-fareast-language:EN-US">Gaussian process regression<o:p></o:p></span></p>
<p class="MsoListParagraph" style="margin-left:21.0pt;text-indent:-21.0pt;mso-list:l1 level1 lfo1">
<![if !supportLists]><span lang="EN-US" style="font-size:12.0pt;font-family:Wingdings;color:#222222;mso-fareast-language:EN-US"><span style="mso-list:Ignore">l<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span lang="EN-US" style="font-size:12.0pt;font-family:"Arial",sans-serif;color:#222222;mso-fareast-language:EN-US">Randomization-based methods using novel fuzzy approaches<o:p></o:p></span></p>
<p class="MsoListParagraph" style="margin-left:21.0pt;text-indent:-21.0pt;mso-list:l1 level1 lfo1">
<![if !supportLists]><span lang="EN-US" style="font-size:12.0pt;font-family:Wingdings;color:#222222;mso-fareast-language:EN-US"><span style="mso-list:Ignore">l<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span lang="EN-US" style="font-size:12.0pt;font-family:"Arial",sans-serif;color:#222222;mso-fareast-language:EN-US">Randomization-based methods for large-scale problems with and without kernels<o:p></o:p></span></p>
<p class="MsoListParagraph" style="margin-left:21.0pt;text-indent:-21.0pt;mso-list:l1 level1 lfo1">
<![if !supportLists]><span lang="EN-US" style="font-size:12.0pt;font-family:Wingdings;color:#222222;mso-fareast-language:EN-US"><span style="mso-list:Ignore">l<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span lang="EN-US" style="font-size:12.0pt;font-family:"Arial",sans-serif;color:#222222;mso-fareast-language:EN-US">Theoretical analysis of randomization-based methods<o:p></o:p></span></p>
<p class="MsoListParagraph" style="margin-left:21.0pt;text-indent:-21.0pt;mso-list:l1 level1 lfo1">
<![if !supportLists]><span lang="EN-US" style="font-size:12.0pt;font-family:Wingdings;color:#222222;mso-fareast-language:EN-US"><span style="mso-list:Ignore">l<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span lang="EN-US" style="font-size:12.0pt;font-family:"Arial",sans-serif;color:#222222;mso-fareast-language:EN-US">Comparative studies with competing methods without randomization<o:p></o:p></span></p>
<p class="MsoListParagraph" style="margin-left:21.0pt;text-indent:-21.0pt;mso-list:l1 level1 lfo1">
<![if !supportLists]><span lang="EN-US" style="font-size:12.0pt;font-family:Wingdings;color:#222222;mso-fareast-language:EN-US"><span style="mso-list:Ignore">l<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span lang="EN-US" style="font-size:12.0pt;font-family:"Arial",sans-serif;color:#222222;mso-fareast-language:EN-US">Applications of randomized methods and information fusion in areas such as power systems, biomedical, finance,
economics, signal processing, big data and all other relevant areas<o:p></o:p></span></p>
<p class="MsoListParagraph" style="margin-left:21.0pt;text-indent:0cm"><span lang="EN-US" style="font-size:12.0pt;font-family:"Arial",sans-serif;color:black;background:white"><o:p> </o:p></span></p>
<p class="MsoNormal"><b><span lang="EN-IN" style="font-family:"Arial",sans-serif;color:black;background:white">Submission Guideline:
<o:p></o:p></span></b></p>
<p><span lang="EN-US" style="font-family:"Arial",sans-serif;color:#222222">Papers should be submitted using EAAI’s online submission system:
<a href="https://www.journals.elsevier.com/engineering-applications-of-artificial-intelligence">
https://www.journals.elsevier.com/engineering-applications-of-artificial-intelligence</a>. When submitting your manuscript please select the article type "SI: Randomization-based learning algorithms".
</span><span class="MsoHyperlink"><span lang="EN-US" style="color:#222222;text-decoration:none"><o:p></o:p></span></span></p>
<p class="MsoNormal"><b><u><span lang="EN-IN" style="font-size:16.0pt;font-family:"Arial",sans-serif">Important Dates</span></u></b><b><u><span lang="EN-IN" style="font-size:16.0pt"><o:p></o:p></span></u></b></p>
<p class="MsoListParagraph" style="margin-left:36.0pt;text-indent:-18.0pt;mso-list:l0 level1 lfo2">
<![if !supportLists]><span lang="EN-US" style="font-size:12.0pt;font-family:Symbol;color:#222222;mso-fareast-language:EN-US"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span lang="EN-US" style="font-size:12.0pt;font-family:"Arial",sans-serif;color:#222222;mso-fareast-language:EN-US">Manuscript submission due: April 30, 2022<o:p></o:p></span></p>
<p class="MsoListParagraph" style="margin-left:36.0pt;text-indent:-18.0pt;mso-list:l0 level1 lfo2">
<![if !supportLists]><span lang="EN-US" style="font-size:12.0pt;font-family:Symbol;color:#222222;mso-fareast-language:EN-US"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span lang="EN-US" style="font-size:12.0pt;font-family:"Arial",sans-serif;color:#222222;mso-fareast-language:EN-US">First review completed: July 15, 2022<o:p></o:p></span></p>
<p class="MsoListParagraph" style="margin-left:36.0pt;text-indent:-18.0pt;mso-list:l0 level1 lfo2">
<![if !supportLists]><span lang="EN-US" style="font-size:12.0pt;font-family:Symbol;color:#222222;mso-fareast-language:EN-US"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span lang="EN-US" style="font-size:12.0pt;font-family:"Arial",sans-serif;color:#222222;mso-fareast-language:EN-US">Revised manuscript due: Aug 15, 2022<o:p></o:p></span></p>
<p class="MsoListParagraph" style="margin-left:36.0pt;text-indent:-18.0pt;mso-list:l0 level1 lfo2">
<![if !supportLists]><span lang="EN-US" style="font-size:12.0pt;font-family:Symbol;color:#222222;mso-fareast-language:EN-US"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span lang="EN-US" style="font-size:12.0pt;font-family:"Arial",sans-serif;color:#222222;mso-fareast-language:EN-US">Final decisions to authors: Oct 30, 2022<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-IN" style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black;background:white"><o:p> </o:p></span></p>
<p class="MsoNormal"><b><span lang="EN-IN" style="font-family:"Arial",sans-serif;color:black;background:white">Guest Editors:<o:p></o:p></span></b></p>
<p class="MsoNormal"><span lang="EN-IN" style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#222222;mso-fareast-language:EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><b><span lang="EN-IN" style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#222222;mso-fareast-language:EN-US">Dr. P.N. Suganthan, IEEE Fellow<o:p></o:p></span></b></p>
<p class="MsoNormal"><a name="_Hlk93527626"><span lang="EN-IN" style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#222222;mso-fareast-language:EN-US">School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore
<o:p></o:p></span></a></p>
<p class="MsoNormal"><span style="mso-bookmark:_Hlk93527626"><span lang="EN-IN" style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#222222;mso-fareast-language:EN-US">Email:
</span></span><a href="mailto:epnsugan@ntu.edu.sg"><span style="mso-bookmark:_Hlk93527626"><span lang="EN-IN" style="font-size:11.0pt;font-family:"Arial",sans-serif;mso-fareast-language:EN-US">epnsugan@ntu.edu.sg</span></span><span style="mso-bookmark:_Hlk93527626"></span></a><span style="mso-bookmark:_Hlk93527626"><span lang="EN-IN" style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#222222;mso-fareast-language:EN-US"><o:p></o:p></span></span></p>
<p class="MsoNormal"><span style="mso-bookmark:_Hlk93527626"><span lang="EN-IN" style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#222222;mso-fareast-language:EN-US">Website:
</span></span><a href="https://www3.ntu.edu.sg/home/epnsugan/"><span style="mso-bookmark:_Hlk93527626"><span lang="EN-IN" style="font-size:11.0pt;font-family:"Arial",sans-serif;mso-fareast-language:EN-US">https://www3.ntu.edu.sg/home/epnsugan/</span></span><span style="mso-bookmark:_Hlk93527626"></span></a><span style="mso-bookmark:_Hlk93527626"><span lang="EN-IN" style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#222222;mso-fareast-language:EN-US"><o:p></o:p></span></span></p>
<p class="MsoNormal"><span style="mso-bookmark:_Hlk93527626"><span lang="EN-IN" style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#222222;mso-fareast-language:EN-US"><o:p> </o:p></span></span></p>
<p class="MsoNormal"><span style="mso-bookmark:_Hlk93527626"><b><span lang="EN-IN" style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#222222;mso-fareast-language:EN-US">Dr. M. Tanveer, IEEE Senior Member<o:p></o:p></span></b></span></p>
<p class="MsoNormal"><span style="mso-bookmark:_Hlk93527626"><span lang="EN-IN" style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#222222;mso-fareast-language:EN-US">Department of Mathematics, Indian Institute of Technology Indore
<o:p></o:p></span></span></p>
<p class="MsoNormal"><span style="mso-bookmark:_Hlk93527626"><span lang="EN-IN" style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#222222;mso-fareast-language:EN-US">Email:
</span></span><a href="mailto:mtanveer@iiti.ac.in"><span style="mso-bookmark:_Hlk93527626"><span lang="EN-IN" style="font-size:11.0pt;font-family:"Arial",sans-serif;mso-fareast-language:EN-US">mtanveer@iiti.ac.in</span></span><span style="mso-bookmark:_Hlk93527626"></span></a><span style="mso-bookmark:_Hlk93527626"><span lang="EN-IN" style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#222222;mso-fareast-language:EN-US">
<o:p></o:p></span></span></p>
<p class="MsoNormal"><span style="mso-bookmark:_Hlk93527626"><span lang="EN-IN" style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#222222;mso-fareast-language:EN-US">Website: </span></span><a href="http://iiti.ac.in/people/~mtanveer/"><span style="mso-bookmark:_Hlk93527626"><span lang="EN-IN" style="font-size:11.0pt;font-family:"Arial",sans-serif;mso-fareast-language:EN-US">http://iiti.ac.in/people/~mtanveer/</span></span><span style="mso-bookmark:_Hlk93527626"></span></a><span style="mso-bookmark:_Hlk93527626"><span lang="EN-IN" style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#222222;mso-fareast-language:EN-US">
<o:p></o:p></span></span></p>
<p class="MsoNormal"><span style="mso-bookmark:_Hlk93527626"><span class="MsoHyperlink"><span lang="EN-IN"><o:p><span style="text-decoration:none"> </span></o:p></span></span></span></p>
<p class="MsoNormal"><span style="mso-bookmark:_Hlk93527626"><b><span lang="EN-IN" style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#222222;mso-fareast-language:EN-US">Prof. Chin-Teng Lin, IEEE Fellow, IFSA Fellow</span><span lang="EN-IN" style="color:#222222"><o:p></o:p></span></b></span></p>
<p class="MsoNormal"><span style="mso-bookmark:_Hlk93527626"><span lang="EN-IN" style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#222222;mso-fareast-language:EN-US">Director, Computational Intelligence and Brain Computer Interface Centre<o:p></o:p></span></span></p>
<p class="MsoNormal"><span style="mso-bookmark:_Hlk93527626"><span lang="EN-IN" style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#222222;mso-fareast-language:EN-US">Co-Director, Centre for AI (CAI)<o:p></o:p></span></span></p>
<p class="MsoNormal"><span style="mso-bookmark:_Hlk93527626"><span lang="EN-IN" style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#222222;mso-fareast-language:EN-US">University of Technology Sydney, Australia<o:p></o:p></span></span></p>
<p class="MsoNormal"><span style="mso-bookmark:_Hlk93527626"><span lang="EN-IN" style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#222222;mso-fareast-language:EN-US">Email:
</span></span><a href="mailto:Chin-Teng.Lin@uts.edu.au"><span style="mso-bookmark:_Hlk93527626"><span lang="EN-IN" style="font-size:11.0pt;font-family:"Arial",sans-serif;mso-fareast-language:EN-US">Chin-Teng.Lin@uts.edu.au</span></span><span style="mso-bookmark:_Hlk93527626"></span></a><span style="mso-bookmark:_Hlk93527626"><span lang="EN-IN" style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#222222;mso-fareast-language:EN-US"><o:p></o:p></span></span></p>
<span style="mso-bookmark:_Hlk93527626"></span>
<p class="MsoNormal"><span lang="EN-IN" style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black;background:white"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-IN" style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black;background:white"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-IN" style="font-size:11.0pt;font-family:"Calibri",sans-serif;mso-fareast-language:ZH-CN"><o:p> </o:p></span></p>
</div>
<hr>
<p style="font-size:10pt; color:#808080;font-family: 'Arial';">CONFIDENTIALITY: This email is intended solely for the person(s) named and may be confidential and/or privileged. If you are not the intended recipient, please delete it, notify us and do not copy,
use, or disclose its contents. <br>
Towards a sustainable earth: Print only when necessary. Thank you. </p>
</body>
</html>