<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Paper | Δρ. Ευάγγελος Βλάχος</title><link>https://evlachos.space/el/categories/paper/</link><atom:link href="https://evlachos.space/el/categories/paper/index.xml" rel="self" type="application/rss+xml"/><description>Paper</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>el</language><lastBuildDate>Tue, 21 Apr 2026 00:00:00 +0000</lastBuildDate><image><url>https://evlachos.space/media/icon_hu_2beab1606e98fa9.png</url><title>Paper</title><link>https://evlachos.space/el/categories/paper/</link></image><item><title>Paper Accepted at ICUAS 2026</title><link>https://evlachos.space/el/post/papers/paper-submitted-icuas26-semantic-uav/</link><pubDate>Tue, 21 Apr 2026 00:00:00 +0000</pubDate><guid>https://evlachos.space/el/post/papers/paper-submitted-icuas26-semantic-uav/</guid><description>&lt;p>We are pleased to announce that our paper has been accepted at the &lt;strong>2026 International Conference on Unmanned Aircraft Systems (ICUAS)&lt;/strong>:&lt;/p>
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&lt;h3 id="hardware-aware-se3-control-barrier-functions-for-counter-uas-interceptors-with-directed-energy-payloads">Hardware-Aware SE(3) Control Barrier Functions for Counter-UAS Interceptors with Directed Energy Payloads&lt;/h3>
&lt;p>&lt;em>Evangelos Vlachos, Panayiotis Kolios, and Christos Skliros&lt;/em>&lt;/p>
&lt;p>This paper addresses the safety-critical control problem of keeping a directed-energy phased-array payload&amp;rsquo;s boresight aimed at a target UAS during high-speed interception. We develop SE(3) Control Barrier Functions that enforce a field-of-view constraint on the interceptor&amp;rsquo;s attitude while respecting the physical limits of the onboard hardware, solved efficiently via ADMM at high update rates.&lt;/p>
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&lt;p>This work is supported by the EU Horizon Europe project &lt;a href="https://eusome.eu/" target="_blank" rel="noopener">EUSOME&lt;/a> (Grant Agreement No. 101187121).&lt;/p></description></item><item><title>Paper Submitted to IEEE Wireless Communications Letters</title><link>https://evlachos.space/el/post/papers/paper-submitted-wcl26-geometry-otfs/</link><pubDate>Thu, 02 Apr 2026 00:00:00 +0000</pubDate><guid>https://evlachos.space/el/post/papers/paper-submitted-wcl26-geometry-otfs/</guid><description>&lt;p>We submitted a new paper to &lt;strong>IEEE Wireless Communications Letters&lt;/strong>:&lt;/p>
&lt;h3 id="geometry-aware-regularization-for-deep-unfolded-mimo-otfs-detection">Geometry-Aware Regularization for Deep-Unfolded MIMO-OTFS Detection&lt;/h3>
&lt;p>&lt;em>Nikolaos Ntavanelos and Evangelos Vlachos&lt;/em>&lt;/p>
&lt;p>MIMO-OTFS systems suffer from non-uniform scaling across symbol components due to spatial and fractional Doppler–Delay coupling. This work introduces a &lt;strong>geometry-aware coordinate-wise regularizer&lt;/strong> within a deep-unfolded Conjugate Gradient detector to exploit this structure.&lt;/p>
&lt;p>Key contributions:&lt;/p>
&lt;ul>
&lt;li>&lt;strong>Gram matrix analysis&lt;/strong>: We prove that all diagonal variation in the MIMO-OTFS Gram matrix arises exclusively from inter-path coupling, analytically characterizing its non-uniform structure.&lt;/li>
&lt;li>&lt;strong>Deep-unfolded CG detector&lt;/strong>: A geometry-aware regularizer is embedded directly into the CG linear system, with per-component weights learned in a data-driven manner.&lt;/li>
&lt;li>&lt;strong>Robust performance&lt;/strong>: The proposed detector outperforms low-complexity baselines and approaches heavier neural architectures at medium-to-high SNR under both low- and high-mobility scenarios.&lt;/li>
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