<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Computational Methods on Mohammad Movahedi</title><link>https://m-movahedi.com/tags/computational-methods/</link><description>Recent content in Computational Methods on Mohammad Movahedi</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Fri, 20 Feb 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://m-movahedi.com/tags/computational-methods/index.xml" rel="self" type="application/rss+xml"/><item><title>NHERI GSC RSR: Scalable Scenario-based Earthquake Risk Modeling via Linearized Ground-Motion–Fragility Coupling and Probabilistic PCA</title><link>https://m-movahedi.com/webinars/nheri-rsr-spring-2026/</link><pubDate>Fri, 20 Feb 2026 00:00:00 +0000</pubDate><guid>https://m-movahedi.com/webinars/nheri-rsr-spring-2026/</guid><description>&lt;div class="layout-container"&gt;&#10; &lt;div class="left-section"&gt;&#10; &lt;img src="https://pbs.twimg.com/profile_images/1505903444888113154/W1WFyofq.jpg" alt="NHERI Graduate Student Council logo" class="side-image" style="width:70px"&gt;&#10; &lt;/div&gt;&#10; &lt;div class="right-section"&gt;&#10; &lt;h2&gt;NHERI Graduate Student Council&lt;/h2&gt;&#10; &lt;h3&gt;Simulation and Computational Methods RSR Meeting&lt;/h3&gt;&#10; &lt;/div&gt;&#10;&lt;/div&gt;&#10;&lt;p&gt;I hosted SoungEil Houng as part of the ongoing NHERI GSC webinar series on simulation and computational methods in natural hazard research.&lt;/p&gt;&#10;&lt;p&gt;SoungEil Houng is a Ph.D. candidate in the Department of Civil and Environmental Engineering at UC Berkeley. Prior to beginning his doctoral studies, he gained professional experience in seismic hazard analysis for nuclear power plant sites in South Korea. He holds master’s degrees in both Seismology and Civil and Environmental Engineering, as well as a bachelor’s degree in Earth System Sciences. His research interests include seismic hazard and risk analysis, with a particular focus on developing scalable computational frameworks for large-scale regional risk assessments.&lt;/p&gt;</description></item></channel></rss>