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<title>EIS Lab @ SeoulTech</title>
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  <title>Hayat and Jostin completed their master’s degrees</title>
  <link>https://st-eislab.github.io/news/2026-08-20-graduation-fall.html</link>
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<p>EIS Lab congratulates <strong>Hayat</strong> and <strong>Jostin</strong> on completing their master’s degrees at <strong>Seoul National University of Science and Technology (SeoulTech)</strong> on August 20, 2026.</p>
<p>During their master’s studies, they conducted research as members of the Explainable Intelligent Systems Lab:</p>
<ul>
<li><strong>Hayat Hassanpour</strong> — <em>DyG-LA: Dynamic Graph Representation Learning via Linear Attention and Recurrent Matrix States</em></li>
<li><strong>Jostin Jerico Rosal</strong> — <em>TRACE: Transparent Agentic Framework for Natural Language Explanations in Smart Manufacturing</em></li>
</ul>
<p>We congratulate them on this achievement and wish them continued success in their future careers and research.</p>



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  <pubDate>Thu, 20 Aug 2026 00:00:00 GMT</pubDate>
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  <title>EIS Lab at the 2026 Spring Joint Conference</title>
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<p>EIS Lab members <strong>Hayat Hassanpour, Jostin Jerico Rosal, and Raksmey Pahn</strong> participated in the <strong>2026 Spring Joint Conference</strong> held on <strong>June 4–5, 2026</strong>, at the <strong>Gyeongju Hwabaek International Convention Center (HICO)</strong> in Gyeongju, Korea.</p>
<p>The conference, jointly organized by the Korean Society of Management Science, the Korean Institute of Industrial Engineers, and the Korea Society for Simulation, was held under the theme <strong>“Decision Making and Optimization in the AI Era: Convergence, Expansion, and New Challenges.”</strong></p>
<p>The following research was presented by EIS Lab members:</p>
<ul>
<li><strong>Dynamic Graph Representation Learning for Link Prediction and Node Classification in DeFi Networks</strong> — Hayat Hassanpour</li>
<li><strong>Adaptive Physics-Gated Network for SOH Estimation from Partial Charging EIS Data of Lithium-Ion Batteries</strong> — Phann Raksmey</li>
<li><strong>Transparent Agentic Framework for Natural Language Explanations in Smart Manufacturing</strong> — Jostin Jerico Rosal</li>
</ul>



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  <pubDate>Thu, 04 Jun 2026 00:00:00 GMT</pubDate>
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  <title>Four new members join the lab</title>
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<p>We are happy to welcome four new members to the EIS Lab: <strong>Raksmey Pahn</strong> (PhD), and <strong>Makweya Tobias</strong>, <strong>Shikha Kumari</strong>, and <strong>Daria Kolotikhina</strong> (Master’s). Their work spans battery health analytics, solar power forecasting, and IoT process mining.</p>



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  <category>new members</category>
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  <pubDate>Mon, 01 Sep 2025 00:00:00 GMT</pubDate>
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  <title>Welcome Jostin to the lab</title>
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<p><strong>Jostin Jerico Rosal</strong> joins the EIS Lab as a master’s student, working on natural-language explanation generation for predictive models.</p>



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  <category>new members</category>
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  <pubDate>Sat, 01 Mar 2025 00:00:00 GMT</pubDate>
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  <title>Welcome Hayat, our first master’s student</title>
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<p><strong>Hayat Hassanpour</strong> joins the EIS Lab as its first master’s student.</p>



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  <pubDate>Sun, 01 Sep 2024 00:00:00 GMT</pubDate>
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  <title>EIS Laboratory opens at SeoulTech</title>
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<p>The <strong>Explainable Intelligent Systems (EIS) Laboratory</strong> officially opens at Seoul National University of Science and Technology, led by Prof.&nbsp;Josue Obregon.</p>



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  <pubDate>Wed, 02 Aug 2023 00:00:00 GMT</pubDate>
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