<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Dr. Shabnam Jabari, Associate Professor, P.Eng | ASIL</title><link>https://gge-asil.netlify.app/authors/admin/</link><atom:link href="https://gge-asil.netlify.app/authors/admin/index.xml" rel="self" type="application/rss+xml"/><description>Dr. Shabnam Jabari, Associate Professor, P.Eng</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><image><url>https://gge-asil.netlify.app/authors/admin/avatar_hu_dbf5093721541eab.jpg</url><title>Dr. Shabnam Jabari, Associate Professor, P.Eng</title><link>https://gge-asil.netlify.app/authors/admin/</link></image><item><title>Replace with news title</title><link>https://gge-asil.netlify.app/blog/news-example/</link><pubDate>Mon, 20 Apr 2026 00:00:00 +0000</pubDate><guid>https://gge-asil.netlify.app/blog/news-example/</guid><description>&lt;p&gt;Write a short opening paragraph here that explains the main point of the news.&lt;/p&gt;
&lt;h2 id="overview"&gt;Overview&lt;/h2&gt;
&lt;p&gt;Add a concise overview of the announcement, milestone, event, or publication.&lt;/p&gt;
&lt;h2 id="key-points"&gt;Key Points&lt;/h2&gt;
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&lt;li&gt;Replace with key point 2&lt;/li&gt;
&lt;li&gt;Replace with key point 3&lt;/li&gt;
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&lt;p&gt;Example inline image:&lt;/p&gt;
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&lt;figure &gt;
&lt;div class="flex justify-center "&gt;
&lt;div class="w-full" &gt;
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&lt;h2 id="acknowledgements"&gt;Acknowledgements&lt;/h2&gt;
&lt;p&gt;Add funding, collaboration, supervision, or partner acknowledgements if relevant.&lt;/p&gt;
&lt;h2 id="related-links"&gt;Related Links&lt;/h2&gt;
&lt;ul&gt;
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&lt;/li&gt;
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&lt;/ul&gt;</description></item><item><title>Climate Resilience Geospatial Intelligence</title><link>https://gge-asil.netlify.app/projects/climate-resilience-geospatial-intelligence/</link><pubDate>Wed, 04 Mar 2026 00:00:00 +0000</pubDate><guid>https://gge-asil.netlify.app/projects/climate-resilience-geospatial-intelligence/</guid><description>&lt;p&gt;This project applies geospatial intelligence to evaluate climate-related urban risk and adaptation scenarios.&lt;/p&gt;
&lt;h2 id="objectives"&gt;Objectives&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;Quantify urban heat and flood vulnerability&lt;/li&gt;
&lt;li&gt;Connect environmental indicators with built-form characteristics&lt;/li&gt;
&lt;li&gt;Produce decision-ready maps and indicators for local partners&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="methods"&gt;Methods&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;Satellite and aerial remote sensing&lt;/li&gt;
&lt;li&gt;Terrain and hydrologic modeling&lt;/li&gt;
&lt;li&gt;Machine learning for hazard mapping and trend analysis&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="impact"&gt;Impact&lt;/h2&gt;
&lt;p&gt;The project supports evidence-based adaptation planning for communities and public agencies.&lt;/p&gt;</description></item><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 Digital Twin Platform</title><link>https://gge-asil.netlify.app/projects/urban-digital-twin-platform/</link><pubDate>Wed, 04 Mar 2026 00:00:00 +0000</pubDate><guid>https://gge-asil.netlify.app/projects/urban-digital-twin-platform/</guid><description>&lt;p&gt;This project develops scalable workflows for generating and updating urban digital twins from mobile mapping, airborne LiDAR, and optical imagery.&lt;/p&gt;
&lt;h2 id="objectives"&gt;Objectives&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;Build LoD2-ready city models for planning and engineering use&lt;/li&gt;
&lt;li&gt;Improve camera-LiDAR registration and quality control&lt;/li&gt;
&lt;li&gt;Support downstream climate, hazard, and infrastructure analytics&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="methods"&gt;Methods&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;Multimodal segmentation and feature extraction&lt;/li&gt;
&lt;li&gt;Geometry-aware registration pipelines&lt;/li&gt;
&lt;li&gt;Quality assessment using field and reference datasets&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="impact"&gt;Impact&lt;/h2&gt;
&lt;p&gt;Outputs support municipal planning, emergency preparation, and data-driven infrastructure management.&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>