<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Uncertainty Quantification | Muhammad Adil Homepage</title><link>https://madil45.github.io/tags/uncertainty-quantification/</link><atom:link href="https://madil45.github.io/tags/uncertainty-quantification/index.xml" rel="self" type="application/rss+xml"/><description>Uncertainty Quantification</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Sat, 27 Dec 2025 00:00:00 +0000</lastBuildDate><image><url>https://madil45.github.io/media/icon_hu_982c5d63a71b2961.png</url><title>Uncertainty Quantification</title><link>https://madil45.github.io/tags/uncertainty-quantification/</link></image><item><title>Machine-Learned Emulators for Teleconnection Discovery and Uncertainty Quantification in Coupled Human-Natural Systems</title><link>https://madil45.github.io/publication/teleconnection-emulators/</link><pubDate>Sat, 27 Dec 2025 00:00:00 +0000</pubDate><guid>https://madil45.github.io/publication/teleconnection-emulators/</guid><description>&lt;p>Published in &lt;em>Water&lt;/em> in 2026. This article examines machine-learned emulators for teleconnection discovery and uncertainty quantification in a coupled human-natural systems setting centered on Lake Champlain.&lt;/p></description></item></channel></rss>