<?xml version="1.0" encoding="utf-8"?><rss xmlns:a10="http://www.w3.org/2005/Atom" version="2.0"><channel><title>Mohsen Seyedkazemi Ardebili � News</title><link>https://www.unibo.it/sitoweb/mohsen.seyedkazemi/news/</link><description /><language>en-US</language><copyright>� Copyright 2004-2026 - Universit� di Bologna</copyright><a10:link rel="self" type="application/rss+xml" href="https://www.unibo.it/sitoweb/mohsen.seyedkazemi/news/rss" /><item><guid isPermaLink="false">a5a006ba</guid><link>https://www.unibo.it/sitoweb/mohsen.seyedkazemi/news/a5a006ba</link><title>New 2026 publications: KubeIntellect (Journal of Grid Computing) and ThermADNet (Future Generation Computer Systems)</title><description>&lt;p&gt;Two international journal articles have been published.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;KubeIntellect: A Modular LLM-Orchestrated Agent Framework for End-to-End Kubernetes Management&lt;/strong&gt; — M. Seyedkazemi Ardebili, A. Bartolini, &lt;em&gt;Journal of Grid Computing&lt;/em&gt;, 24(3), 2026. The paper presents an LLM-orchestrated agent architecture for end-to-end Kubernetes cluster management, with mandatory human approval on every operation that changes cluster state. &lt;a href="https://doi.org/10.1007/s10723-026-09837-6"&gt;DOI: 10.1007/s10723-026-09837-6&lt;/a&gt; — code: &lt;a href="https://github.com/MSKazemi/kubeintellect"&gt;GitHub&lt;/a&gt;.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Elevating Datacenter Resilience with ThermADNet: A Thermal Anomaly Detection System&lt;/strong&gt; — M. Seyedkazemi Ardebili, A. Acquaviva, L. Benini, A. Bartolini, &lt;em&gt;Future Generation Computer Systems&lt;/em&gt;, 179, 2026, article 108311 (Open Access).&lt;/p&gt;
&lt;p&gt;Full publication list: &lt;a href="https://scholar.google.com/citations?user=xP64pZsAAAAJ"&gt;Google Scholar&lt;/a&gt; · &lt;a href="https://orcid.org/0000-0002-1166-6559"&gt;ORCID&lt;/a&gt;.&lt;/p&gt;</description><pubDate>Mon, 10 Aug 2026 17:01:47 +0200</pubDate><a10:updated>2026-08-10T17:01:47+02:00</a10:updated></item></channel></rss>