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<!DOCTYPE html>
<html lang="en">
<head>
<title>Home | Vasilis Ntinas</title>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1">
<meta name="google-site-verification" content="QEI16wPwhmO8cw5DvzxcZgMQkQzfC5gv5IBSOwa2ysA" />
<!-- Font Awesome CDN -->
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.5.0/css/all.min.css"
integrity="sha512-omTcsHuj+OwLaZ8v78yDydz1YFzjK5XQzG4QEYAMM2M5MLTqnl2crfPguLoq2o6GyP+ynGEXztM+Uq0m6ZNB+A=="
crossorigin="anonymous"
referrerpolicy="no-referrer" />
<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/css/bootstrap.min.css">
<link href="https://fonts.googleapis.com/css?family=Montserrat" rel="stylesheet" type="text/css">
<link href="https://fonts.googleapis.com/css?family=Lato" rel="stylesheet" type="text/css">
<link href='http://fonts.googleapis.com/css?family=Arizonia' rel='stylesheet' type='text/css'>
<link href='https://fonts.googleapis.com/css?family=Roboto' rel='stylesheet'>
<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.3.1/jquery.min.js"></script>
<script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/js/bootstrap.min.js"></script>
<style>
body {
font: 400 15px Lato, sans-serif;
line-height: 1.8;
color: #818181;
}
h2 {
font-size: 24px;
text-transform: uppercase;
color: #303030;
font-weight: 600;
margin-bottom: 30px;
}
h4 {
font-size: 19px;
line-height: 1.375em;
color: #303030;
font-weight: 400;
margin-bottom: 30px;
}
.jumbotron {
background-color: #fff;
/*background-color: #f4511e;
/*background: repeating-linear-gradient(0deg, #0f5776, #4b6861 1%, #c66d0c 1%);*/
color: #fff;
padding: 200px 0px 50px 25px;
font-family: Montserrat, sans-serif;
margin-bottom: 0;
}
.jumbotron-with-img {
min-height: 910px;
}
.about-me {
background-color: #eaf7ff;
}
.contact-me {
background-color: #eaf7ff;
}
.contact-me-txt {
padding-top: 120px;
padding-bottom: 120px;
color: black;
}
.about-me-img {
background-image: url("chip_img.jpg");
background-position: center;
background-size: cover;
opacity: 0.8;
}
.about-me-txt {
padding-top: 120px;
}
.about-me-txt h2 {
font: 100 normal normal 40px/1.875em 'Lato',sans-serif;
}
.about-me-txt h4 {
font: 400 normal normal 15px/1.875em 'Lato',sans-serif;
text-align: justify;
text-justify: inter-word;
}
.container-fluid {
padding-left: 0px;
margin-right: auto;
margin-left: auto;
}
.container-menu {
padding: 30px 0px 0px 0px;
}
.container-menu-logo {
padding: 0px 50px 0px 60px;
}
.container-menu-tabs-area {
padding: 0px 0px 0px 0px;
background-color: #f5f5f5 !important;
}
.container-menu-tabs {
padding: 0px 50px 0px 50px;
}
.edu {
/*background: repeating-linear-gradient(0deg, #0f5776, #4b6861 1%, #c66d0c 1%);*/
background: #fff;
}
.bg-grey {
background-color: #f6f6f6;
}
.logo-small {
color: #f4511e;
font-size: 50px;
}
.logo {
color: #f4511e;
font-size: 200px;
}
.logo-text h4 {
font-size: 14px;
letter-spacing: 1px;
}
.thumbnail {
padding: 0 0 15px 0;
border: none;
border-radius: 0;
}
.thumbnail img {
width: 100%;
height: 100%;
margin-bottom: 10px;
}
.carousel-control.right, .carousel-control.left {
background-image: none;
color: #f4511e;
}
.carousel-indicators li {
border-color: #f4511e;
}
.carousel-indicators li.active {
background-color: #f4511e;
}
.img-pos {
padding-top: 100px;
}
img.my_img {
border-radius: 50%;
}
.img-pos-text-name {
padding-top: 0px;
font: 300 48px/1.3 'Lato', Helvetica, sans-serif;
/*color: #bff7ff;*/
color: #000;
text-shadow: 4px 4px 0px rgba(0,0,0,0.1);
text-align: left;
}
.img-pos-text-sub_title {
padding-top: 0px;
font: 300 24px/1.3 'Lato', Helvetica, sans-serif;
/*color: #bff7ff;*/
color: #777;
text-align: left;
}
.img-pos-links {
padding-top: 60px;
font: 600 20px/1.3 'Lato', Helvetica, sans-serif;
/*color: #bff7ff;*/
color: #777;
text-shadow: none;
text-align: left;
}
.img-pos-bubbles {
padding-top: 60px;
font: 600 20px/1.3 'Lato', Helvetica, sans-serif;
/*color: #bff7ff;*/
color: #777;
text-shadow: none;
text-align: left;
}
img.my_bubbles {
border-radius: 30%;
}
.item h4 {
font-size: 19px;
line-height: 1.375em;
font-weight: 400;
font-style: italic;
margin: 70px 0;
}
.item span {
font-style: normal;
}
.panel {
border: 1px solid #f4511e;
border-radius:0 !important;
transition: box-shadow 0.5s;
}
.panel:hover {
box-shadow: 5px 0px 40px rgba(0,0,0, .2);
}
.panel-footer .btn:hover {
border: 1px solid #f4511e;
background-color: #fff !important;
color: #f4511e;
}
.panel-heading {
color: #fff !important;
background-color: #f4511e !important;
padding: 25px;
border-bottom: 1px solid transparent;
border-top-left-radius: 0px;
border-top-right-radius: 0px;
border-bottom-left-radius: 0px;
border-bottom-right-radius: 0px;
}
.panel-footer {
background-color: white !important;
}
.panel-footer h3 {
font-size: 32px;
}
.panel-footer h4 {
color: #aaa;
font-size: 14px;
}
.panel-footer .btn {
margin: 15px 0;
background-color: #f4511e;
color: #fff;
}
.navbar {
margin-bottom: 0;
background-color: #fff;
z-index: 9999;
border: 0;
font-size: 12px !important;
line-height: 1.42857143 !important;
letter-spacing: 4px;
border-radius: 0;
font-family: Montserrat, sans-serif;
}
.nav li a {
padding: 10px 10px 10px 10px;
letter-spacing: 1px;
}
.navbar li a, .navbar .navbar-brand {
color: #000 !important;
}
.navbar-brand {
font: 900 32px 'Arizonia', Helvetica, sans-serif;
color: #2b2b2b;
text-shadow: 4px 4px 0px rgba(0,0,0,0.1);
float: none;
}
.navbar-nav li a:hover, .navbar-nav li.active a {
color: #000 !important;
background-color: #f5f5f5 !important;
}
.navbar-default .navbar-toggle {
border-color: transparent;
color: #fff !important;
background-color: #f5f5f5 !important;
}
footer {
background-color: #333;
}
footer .glyphicon {
font-size: 16px;
margin-bottom: 10px;
color: #fff;
}
footer a {
font-weight: 500;
font-size:16px;
line-height:24px;
font-family: Helvetica, sans-serif;
color: #999;
}
footer a:hover {
font-weight: 500;
font-size:16px;
line-height:24px;
font-family: Helvetica, sans-serif;
color: #fff;
}
.slideanim {visibility:hidden;}
.slide {
animation-name: slide;
-webkit-animation-name: slide;
animation-duration: 1s;
-webkit-animation-duration: 1s;
visibility: visible;
}
.vertical-section-title {
background-image: url("vertical_sep.jpg");
flex: 280 1 0%;
margin-left: 0px;
margin-top: 0px;
margin-bottom: 0px;
top: 0px;
height: 280px;
position: relative;
background-position: center;
background-size: cover;
}
.vertical-section-title-txt {
background-color: rgba(0, 0, 0, 0.25);
flex: 280 1 0%;
margin-left: 0px;
margin-top: 0px;
margin-bottom: 0px;
top: 0px;
height: 280px;
position: relative;
background-position: center;
background-size: cover;
}
.vertical-section-title-txt h2 {
padding-top: 60px;
color: white;
text-shadow: rgba(255, 255, 255, 0.6) 1px 1px 1px, rgba(0, 0, 0, 0.6) -1px -1px 1px;
font: 350 normal normal 40px/1.375em 'Lato',sans-serif;
}
.vertical-section-title-txt h4 {
color: white;
text-shadow: rgba(255, 255, 255, 0.6) 1px 1px 1px, rgba(0, 0, 0, 0.6) -1px -1px 1px;
font: 500 normal normal 18px/1.375em 'Lato',sans-serif;
}
@keyframes slide {
0% {
opacity: 0;
transform: translateY(70%);
}
100% {
opacity: 1;
transform: translateY(0%);
}
}
@-webkit-keyframes slide {
0% {
opacity: 0;
-webkit-transform: translateY(70%);
}
100% {
opacity: 1;
-webkit-transform: translateY(0%);
}
}
@media screen and (max-width: 768px) {
.col-sm-4 {
text-align: center;
margin: 25px 0;
}
.btn-lg {
width: 100%;
margin-bottom: 35px;
}
}
@media screen and (max-width: 480px) {
.logo {
font-size: 150px;
}
}
@media screen and (max-width: 768px) {
.navbar-brand {
font-size: 26px;
padding: 0px;
}
.logo-text h4 {
font-size: 10px;
margin-bottom: 10px;
}
.container-menu-logo {
padding: 0px 5px 0px 5px;
}
.navbar-toggle {
margin-top: -35px;
margin-bottom: 2px;
}
.img-pos-text {
padding-top: 20px;
}
.img-pos {
padding-top: 0px;
border-radius: 50%;
}
}
* {
box-sizing: border-box;
}
.col-container {
display: table;
width: 100%;
}
.col {
display: table-cell;
width: 50%;
}
@media only screen and (max-width: 768px) {
.col {
display: block;
width: 100%;
}
}
/* The actual timeline (the vertical ruler) */
.timeline {
position: relative;
max-width: 1200px;
margin: 0 auto;
}
/* The actual timeline (the vertical ruler) */
.timeline::after {
content: '';
position: absolute;
width: 6px;
background-color: #ddd;
top: 0;
bottom: 0;
left: 50%;
margin-left: -3px;
}
/* Container around content */
.container-timeline {
padding: 10px 40px;
position: relative;
background-color: inherit;
width: 50%;
margin-left: 0;
margin-right: 0;
}
/* The circles on the timeline */
.container-timeline::after {
content: '';
position: absolute;
width: 25px;
height: 25px;
right: -13px;
background-color: #ddd;
border: 4px solid #FF9F55;
top: 15px;
border-radius: 50%;
z-index: 1;
}
/* Place the container to the left */
.left-timeline {
left: 0;
}
/* Place the container to the right */
.right-timeline {
left: 50%;
}
/* Add arrows to the left container (pointing right) */
.left-timeline::before {
content: " ";
height: 0;
position: absolute;
top: 22px;
width: 0;
z-index: 1;
right: 30px;
border: medium solid white;
border-width: 10px 0 10px 10px;
border-color: transparent transparent transparent white;
}
/* Add arrows to the right container (pointing left) */
.right-timeline::before {
content: " ";
height: 0;
position: absolute;
top: 22px;
width: 0;
z-index: 1;
left: 30px;
border: medium solid white;
border-width: 10px 10px 10px 0;
border-color: transparent white transparent transparent;
}
/* Fix the circle for containers on the right side */
.right-timeline::after {
left: -12px;
}
/* The actual content */
.content-timeline {
padding: 20px 30px;
background-color: #ddd;
position: relative;
border-radius: 6px;
font: 350 normal normal 40px/1.375em 'Lato',sans-serif;
}
.content-timeline h1 {
margin: 10px 0px;
text-decoration: underline;
font-size: 28px;
text-transform: uppercase;
}
.content-timeline h2 {
margin: 0px 0px;
font-size: 22px;
text-transform: none;
}
.content-timeline h3 {
margin: 0px 0px;
font-size: 22px;
text-transform: capitalize;
}
.content-timeline h4 {
margin: 0px 0px 20px 0px;
font-size: 16px;
text-transform: capitalize;
}
.pubs {
background-color: #f5f5f5 !important;
font-family: 'Lato',sans-serif;
color: black;
padding-left: 10px;
}
.pubs h1 {
text-shadow: rgba(255, 255, 255, 0.6) 1px 1px 1px, rgba(0, 0, 0, 0.6) -1px -1px 1px;
font: 500 normal normal 20px/1.75em 'Lato',sans-serif;
background-color: #f5f5f5 !important;
text-transform: uppercase;
}
.pubs h3 {
font: 400 normal normal 22px/1.41em 'Lato',sans-serif;
background-color: #f5f5f5 !important;
text-transform: uppercase;
margin-top: 0px;
margin-bottom: 0px;
}
.pubs h4 {
font: 500 normal normal 15px/1.75em 'Lato',sans-serif;
background-color: #f5f5f5 !important;
text-transform: none;
margin-top: 0px;
margin-bottom: 0px;
}
.pubs p {
font: 500 normal normal 12px/1.75em 'Lato',sans-serif;
background-color: #f5f5f5 !important;
text-transform: none;
text-align: justify;
text-justify: inter-word;
}
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padding: 0px 15px;
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<div class="container-menu-logo"><a class="navbar-brand" href="#myPage">Vasilis Ntinas<br></a></div>
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<h4>Electrical and Computer Engineering (Dipl.Eng., M.Sc., Ph.D.)<br>
Electronic Engineering (Ph.D.)</h4></div>
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VASILIS NTINAS
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Assistant Professor
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2450 Copenhagen, Denmark
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<h2>About Me</h2>
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I was born in Xanthi, Greece on 7 November 1992. I received my <u>Diploma</u> (Diploma/Master of Engineering) in <i>Electrical and
Computer Engineering (ECE)</i> from the Department of ECE at <i>Democritus University of Thrace (DUTh)</i>, Xanthi, Greece in July
2015. I was in the top ~1-2% of my class and I received the Best Diploma Thesis Award of the department. In May 2017, I completed my <u>Master of Science (M.Sc.)</u>
on <i>“Microelectronics and Computer Systems”</i> in the scientific field of <i>"Biologically Inspired Electronic Circuit and
Systems"</i> at the same department, with the main object of interest the Analogue and Digital Memristive Circuits. Recently,
I received the <u>Ph.D. degree</u> in <i>Electronic Engineering</i> from the <i>Universitat Politècnica de Catalunya (UPC)</i> and in ECE from <i>DUTh</i>,
under the co-supervision of <a href="https://hipics.upc.edu/en/people/faculty/a-rubio" target="_blank">Prof. Antonio Rubio (UPC)</a>
and <a href="http://gsirak.ee.duth.gr/" target="_blank">Prof. Georgios Ch. Sirakoulis (DUTh)</a>. During my doctoral studies,
I have explored stochasticity-related phenomena in various memristor aspects, from device modeling and memristor programming up to
computing architecture level. After that, I was employed as Postdoctoral Research Associate at the Chair of Fundamentals of Electrical Engineering,
<a href="https://tu-dresden.de/ing/elektrotechnik/iee/ge/die-professur/beschaeftigte" target="_blank">Prof. Ronald Tetzlaff</a>,
working at the German Research Foundation (DFG) funded project, Mem<sup>2</sup>CNN, part of the DFG priority program
<a href="https://memristec.de/en/" target="_blank">“Memristive Devices Toward Smart Technical Systems” (SPP 2262)</a>.
Currently, I joined the <a href="https://www.es.aau.dk/research/edge-computing-and-networking" target="_blank">Edge Computing and Networking Group</a> of the
<a href="https://www.es.aau.dk" target="_blank">Department of Electronic Systems</a> at <a href="https://www.en.aau.dk" target="_blank">Aalborg University</a>
as an Assistant Professor with Tenure-Track.
My research interests focus on memristor-based computing architectures for Edge Intelligence, including modeling of memristive devices, stochastic phenomena in
memristor systems, and unconventional computing paradigms based on locally-interconnected dynamical networks such as cellular nonlinear networks and cellular automata.</h4>
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<h2>EDUCATION</h2>
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<h1>September 2017 - April 2022</h1>
<h2>Ph.D. in Engineering (Electronic and Electrical & Computer)</h2>
<h4>Democritus University of Thrace (DUTh)<br>Universitat Politecnica de Catalunya (UPC)</h4>
<h3>Doctoral Thesis:</h3>
<h4>Harnessing Memristor circuits and device variability in Emergent Computing Applications</h4>
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<h1>November 2015 - March 2017</h1>
<h2>Master of Science (M.Sc.) on Microelectronics and Computer Systems</h2>
<h4>Democritus University of Thrace (DUTh)</h4>
<h3>Master Thesis:</h3>
<h4>Smart Bio-Inspired Electronic Systems with memristive devices</h4>
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<h1>October 2010 - July 2015</h1>
<h2>Diploma in Electrical and Computer Engineering (Dipl.Eng.)</h2>
<h4>Democritus University of Thrace (DUTh)</h4>
<h3>Diploma Thesis:</h3>
<h4>Study, design, and development of electronic circuits, inspired by nature, with learning capabilities, using circuit elements with memory (Memristors)</h4>
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<h2>PUBLICATIONS</h2>
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<section id="publications"><div class="pub-year">2025</div>
<div class="publication">
<div class="pub-left"><span class="pub-abbrev pub_abbrev_journal">TCAS-I</span></div>
<div class="pub-right">
<p class="pub-title">A Fast and Compact Threshold Switch-Based Cellular Nonlinear Network Cell</p>
<p class="pub-authors">A. Demirkol, A. Ascoli, I. Messaris, <strong>V. Ntinas</strong>, D. Prousalis, R. Tetzlaff</p>
<p class="pub-details"><em>IEEE Transactions on Circuits and Systems I: Regular Papers, pp. 1--13, 2025, Jul 2025</em></p>
<div class="pub-buttons">
<button class="pub-btn" onclick="toggleAbstract('abstract0')">Abstract</button>
<a href="https://doi.org/10.1109/TCSI.2025.3583799" class="pub-btn" target="_blank"><i class="fa-solid fa-link"></i> DOI</a>
</div>
<div id="abstract0" class="abstract-content" style="display:none;">In this work, we introduce a high speed and area efficient Cellular Nonlinear Network (CNN) cell, featuring two circuit variants that utilize threshold switches. The threshold switch (TS) model employed represents a current-controlled nanoscale negative differential resistance (NDR) device which exhibits an S-shaped DC I-V curve as a fingerprint. The proposed cell can be considered as the dual of the standard isolated CNN cell where the bistable cell characteristics, originating from the N-shaped voltage-controlled resistor, is implemented through the S-shaped current-controlled TSs. Similarly, the dynamics induced by the parallel capacitor accompanying the nonlinear resistor in the standard cell version are implemented through the internal inductive dynamics of the TSs, resulting in area and speed efficiency. The proposed CNN cell employs a DC voltage source, two bias resistors and 2 TSs, and essentially, features a differential-mode operation which helps to endow it with a symmetric DC I-V characteristic, as is the case for the standard CNN cell. The differential-mode approach further introduces design flexibility as the cell DC I-V characteristic can be adjusted by tuning circuit parameters. We demonstrate the functionality of the proposed cell by implementing image processing tasks ranging from edge detection and thresholding to logic AND and OR operations.</div>
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<div class="publication">
<div class="pub-left"><span class="pub-abbrev pub_abbrev_conference">MOCAST</span></div>
<div class="pub-right">
<p class="pub-title">Ndr Effects in a Locally-Active Memristor Induce Small-Signal Amplification in a Simple Cell</p>
<p class="pub-authors">A. Ascoli, E. Gemo, F. Corinto, M. Bonnin, M. Gilli, P. Civalleri, A. Demirkol, I. Messaris, <strong>V. Ntinas</strong>, D. Prousalis, R. Tetzlaff, S. Slesazeck, T. Mikolajick, L. Chua</p>
<p class="pub-details"><em>2025 14th International Conference on Modern Circuits and Systems Technologies (MOCAST), pp. 1--9, 2025, Jun 2025</em></p>
<div class="pub-buttons">
<button class="pub-btn" onclick="toggleAbstract('abstract1')">Abstract</button>
<a href="https://doi.org/10.1109/MOCAST65744.2025.11083728" class="pub-btn" target="_blank"><i class="fa-solid fa-link"></i> DOI</a>
</div>
<div id="abstract1" class="abstract-content" style="display:none;">The \textPt / \textNbO_\mathrmx / \textNb_2 \mathrmO_5 / \textPt threshold switch, manufactured at NaMLab, may admit a negative differential resistance (NDR). For example, this occurs when a constant voltage, let fall across a two-element one-port, composed of its series connection with a suitable linear resistor, stabilizes its bias point on a branch of the respective DC current-voltage characteristic, along which the slope assumes negative values. Around a bias point of this kind, the device may act as a source of local energy, justifying the locally-active attribute it is conferred. In past research studies the capability of the nanodevice to generate infinitesimal energy around a NDR bias point was exploited to induce the emergence of dramatic local phenomena in otherwise-dumb circuits, including the Hopf Supercritical and Pitchfork Bifurcations, which, while destabilizing a quiescent steady state, respectively spawn sine-wave-alike oscillations, or two new stable quiescent points, concurrently. In this research study, the local energy, which the switch releases about the NDR bias point, when a small-signal sine wave signal, superimposed on top of the DC stimulus, is applied across the two-element one-port, is leveraged to induce the development of larger oscillations across the resistor than those generated by the input source. While the key findings of our numerical investigations are provided here, the underlying theoretical analysis, supported by experimental verification, shall be reported in a Journal paper.</div>
</div>
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<div class="publication">
<div class="pub-left"><span class="pub-abbrev pub_abbrev_conference">ISCAS</span></div>
<div class="pub-right">
<p class="pub-title">Edge of Chaos Induces a Hopf Bifurcation in a Bio-Inspired Thermally-Activated Memristor Oscillator</p>
<p class="pub-authors">A. Ascoli, E. Gemo, D. Rossetti, F. Corinto, M. Bonnin, M. Gilli, P. Civalleri, A. Demirkol, N. Schmitt, I. Messaris, <strong>V. Ntinas</strong>, D. Prousalis, R. Schroedter, R. Tetzlaff, S. Slesazeck, T. Mikolajick, L. Chua</p>
<p class="pub-details"><em>2025 IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1--5, 2025, Feb 2025</em></p>
<div class="pub-buttons">
<button class="pub-btn" onclick="toggleAbstract('abstract2')">Abstract</button>
<a href="https://doi.org/10.1109/ISCAS56072.2025.11043813" class="pub-btn" target="_blank"><i class="fa-solid fa-link"></i> DOI</a>
</div>
<div id="abstract2" class="abstract-content" style="display:none;">This manuscript sheds light into the fundamental importance of the Principles of Local Activity and Edge of Chaos for the future design of innovative circuits, which, employing biomimetic memristive devices, are ideally suited for the development of energy-efficient artificially-intelligent technical systems. The focus of the work is the design of a Second-Order Reactance-Less Oscillator, across which oscillations may develop if and only if at least one of its two different volatile thermally-activated memristor physical realizations is biased along a negative differential resistance branch of the respective DC locus, which turns it into a source of local energy. Very importantly, the proposed cell is first found to lock in the oscillatory mode out of a local Hopf Supercritical Bifurcation when its design parameters are chosen from the Edge of Chaos region, providing clear evidence for the high degree of excitability it acquires as a result.</div>
</div>
</div>
<div class="publication">
<div class="pub-left"><span class="pub-abbrev pub_abbrev_conference">ISCAS</span></div>
<div class="pub-right">
<p class="pub-title">Dynamical analysis of novel Memristor Cellular Nonlinear Network cell topologies</p>
<p class="pub-authors">C. Yu, <strong>V. Ntinas</strong>, D. Prousalis, I. Messaris, A. Demirkol, A. Ascoli, R. Tetzlaff</p>
<p class="pub-details"><em>2025 IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1--5, 2025, Feb 2025</em></p>
<div class="pub-buttons">
<button class="pub-btn" onclick="toggleAbstract('abstract3')">Abstract</button>
<a href="https://doi.org/10.1109/ISCAS56072.2025.11044105" class="pub-btn" target="_blank"><i class="fa-solid fa-link"></i> DOI</a>
</div>
<div id="abstract3" class="abstract-content" style="display:none;">As demand grows for efficient, localized processing in edge and in-sensor computing, novel architectural approaches are essential to meet low-power, high-density requirements. Memristor Cellular Nonlinear Networks (M-CNNs) offer a promising path forward, leveraging the unique properties of memristors for adaptable and scalable computation. This paper presents a study of novel M-CNN cell configurations designed to enhance computational versatility and address operational challenges in M-CNN-based systems. By leveraging memristor technology within CNN cells, we propose three distinct configurations: (1) incorporating parallel and series resistive elements for refined control over cell dynamics, (2) introducing a fixed bias voltage to expand computational capabilities, and (3) integrating the Full-Range CNN (FR-CNN) model into M-CNNs for the first time. The proposed topologies are evaluated through dynamic route maps (DRM) and vector field analysis to systematically assess stability and performance across varying design parameters.</div>
</div>
</div>
<div class="publication">
<div class="pub-left"><span class="pub-abbrev pub_abbrev_conference">ISCAS</span></div>
<div class="pub-right">
<p class="pub-title">Live Demonstration: 4 × 4 Memristive Cellular Nonlinear Network in EDGE detection operation</p>
<p class="pub-authors">Y. Wang, K. Schnieders, S. Jia, <strong>V. Ntinas</strong>, G. Gvozdev, F. Cüppers, S. Hoffmann-Eifert, A. Ascoli, R. Tetzlaff, S. Wiefels, V. Rana, S. Menzel</p>
<p class="pub-details"><em>2025 IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1--1, 2025, Feb 2025</em></p>
<div class="pub-buttons">
<button class="pub-btn" onclick="toggleAbstract('abstract4')">Abstract</button>
<a href="https://doi.org/10.1109/ISCAS56072.2025.11044066" class="pub-btn" target="_blank"><i class="fa-solid fa-link"></i> DOI</a>
</div>
<div id="abstract4" class="abstract-content" style="display:none;">We have successfully fabricated one of the earliest array-scale prototypes of a Memristive Cellular Nonlinear Network (M-CNN) with interconnected cells. In this live demonstration, we will showcase the operation of this 4x4 M-CNN array performing an edge detection task according to our previous work [1]. A user-defined input will be applied to the network, and the computing results will be visualized alongside the simulated operation of a standard CNN for comparison.</div>
</div>
</div>
<div class="publication">
<div class="pub-left"><span class="pub-abbrev pub_abbrev_conference">ISCAS</span></div>
<div class="pub-right">
<p class="pub-title">Attention-driven PCM-based In-Memory Computing for Smart Vision Systems</p>
<p class="pub-authors">A. Haidar, A. Khan, <strong>V. Ntinas</strong>, J. Fernández-Berni, R. Carmona-Galán, R. Tetzlaff</p>
<p class="pub-details"><em>2025 IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1--5, 2025, Feb 2025</em></p>
<div class="pub-buttons">
<button class="pub-btn" onclick="toggleAbstract('abstract5')">Abstract</button>
<a href="https://doi.org/10.1109/ISCAS56072.2025.11044041" class="pub-btn" target="_blank"><i class="fa-solid fa-link"></i> DOI</a>
</div>
<div id="abstract5" class="abstract-content" style="display:none;">As demand grows for efficient edge computing systems, innovative architectures are crucial for achieving low-power, high-density data processing in resource-constrained environments. Compressed sensing (CS) and Analog In-Memory Computing (AIMC) offer promising pathways to meet these needs by enabling localized, efficient feature extraction and inference. This paper introduces an energy-efficient on-chip system that integrates CS with AIMC based on Phase-Change Memory (PCM) devices to enable robust feature extraction and inference. The proposed architecture employs CS for dimensionality reduction at the sensor level, generating low-dimensional feature vectors directly fed into a single-layer artificial neural network (ANN) implemented on PCM crossbars. To address inherent hardware non-idealities, we utilize hardware-aware (HWA) training combined with an attention-based regularization mechanism, improving both inference stability and drift resilience over extended periods. Performance evaluation on a face recognition task demonstrates that attention-enhanced HWA training effectively mitigates overfitting and maintains model accuracy under PCM drift conditions, highlighting the system's suitability for edge computing applications requiring low power consumption and long-term reliability.</div>
</div>
</div>
<div class="publication">
<div class="pub-left"><span class="pub-abbrev pub_abbrev_conference">ISCAS</span></div>
<div class="pub-right">
<p class="pub-title">A Simplified Analysis of Threshold Switch Based Neuron Circuits</p>
<p class="pub-authors">A. Demirkol, R. Schroedter, I. Messaris, <strong>V. Ntinas</strong>, D. Prousalis, R. Tetzlaff, A. Ascoli</p>
<p class="pub-details"><em>2025 IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1--5, 2025, Feb 2025</em></p>
<div class="pub-buttons">
<button class="pub-btn" onclick="toggleAbstract('abstract6')">Abstract</button>
<a href="https://doi.org/10.1109/ISCAS56072.2025.11044231" class="pub-btn" target="_blank"><i class="fa-solid fa-link"></i> DOI</a>