<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Featured Research | ASIL</title><link>https://gge-asil.netlify.app/featured-research/</link><atom:link href="https://gge-asil.netlify.app/featured-research/index.xml" rel="self" type="application/rss+xml"/><description>Featured Research</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Tue, 09 Dec 2025 00:00:00 +0000</lastBuildDate><image><url>https://gge-asil.netlify.app/media/logo.svg</url><title>Featured Research</title><link>https://gge-asil.netlify.app/featured-research/</link></image><item><title>LoD2 Building Reconstruction with Geospatial AI</title><link>https://gge-asil.netlify.app/featured-research/lod2-building-reconstruction-geospatial-ai/</link><pubDate>Wed, 04 Mar 2026 00:00:00 +0000</pubDate><guid>https://gge-asil.netlify.app/featured-research/lod2-building-reconstruction-geospatial-ai/</guid><description>&lt;p&gt;ASIL develops AI-assisted methods for LoD2 building reconstruction using orthophotos, point clouds, and mobile imagery.&lt;/p&gt;
&lt;h2 id="focus"&gt;Focus&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;Roof component extraction using graph-based and deep learning approaches&lt;/li&gt;
&lt;li&gt;Facade element detection under occlusion and viewpoint changes&lt;/li&gt;
&lt;li&gt;Robust model generation for large urban areas&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="research-outputs"&gt;Research Outputs&lt;/h2&gt;
&lt;p&gt;Recent work includes journal and conference publications on multimodal segmentation, feature fusion, and reconstruction quality.&lt;/p&gt;</description></item><item><title>Urban Heat and Flood Projection Analytics</title><link>https://gge-asil.netlify.app/featured-research/urban-heat-flood-projection-analytics/</link><pubDate>Wed, 04 Mar 2026 00:00:00 +0000</pubDate><guid>https://gge-asil.netlify.app/featured-research/urban-heat-flood-projection-analytics/</guid><description>&lt;p&gt;This research combines geospatial modeling and AI to project urban heat and flood behavior under development and climate-change scenarios.&lt;/p&gt;
&lt;h2 id="focus"&gt;Focus&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;Urban heat island projection and hotspot detection&lt;/li&gt;
&lt;li&gt;Flood susceptibility mapping and impact analysis&lt;/li&gt;
&lt;li&gt;Scenario-based planning support for municipalities&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="application"&gt;Application&lt;/h2&gt;
&lt;p&gt;The framework supports actionable planning for resilience, emergency preparedness, and infrastructure upgrades.&lt;/p&gt;</description></item></channel></rss>