<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Mohaddeseh Mousavi Nezhad | GlobeMind AI Research Group</title><link>https://globemindai.github.io/author/mohaddeseh-mousavi-nezhad/</link><atom:link href="https://globemindai.github.io/author/mohaddeseh-mousavi-nezhad/index.xml" rel="self" type="application/rss+xml"/><description>Mohaddeseh Mousavi Nezhad</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><image><url>https://globemindai.github.io/author/mohaddeseh-mousavi-nezhad/avatar_hu5ddf29d44dbee4479c87e8625ea49421_166130_270x270_fill_q75_lanczos_center.jpg</url><title>Mohaddeseh Mousavi Nezhad</title><link>https://globemindai.github.io/author/mohaddeseh-mousavi-nezhad/</link></image><item><title>Mohaddeseh Mousavi Nezhad</title><link>https://globemindai.github.io/author/mohaddeseh-mousavi-nezhad/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://globemindai.github.io/author/mohaddeseh-mousavi-nezhad/</guid><description>&lt;p>Dr. Mohad Mousavi Nezhad is a Professor in Environmental Fluid Dynamics in the School of Engineering of University of Liverpool. She leads water and natural environment research cluster. Her research focuses on investigating the physics of heterogeneous materials and developing efficient and robust numerical algorithms through integration of Computational Statistics and Data Science to reliably capture hydro-chemo-mechanical behaviour of a wide variety of heterogeneous materials that exhibit significant randomness.&lt;/p></description></item></channel></rss>