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  <title><![CDATA[PhD Proposal by Duowen Chen]]></title>
  <body><![CDATA[<p><strong>Title:&nbsp;</strong>Physics-Based Simulation for World Modeling Across Scales and Modalities</p><p>&nbsp;</p><p><strong>Date:</strong>&nbsp; Wednesday, April 15, 2026</p><p><strong>Time</strong>: 1:00 PM - 3:00 PM Eastern Time (US)</p><p><strong>Location:</strong>&nbsp; &nbsp;Coda C0908 Home Park</p><p><strong>Zoom</strong>: <a href="https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgatech.zoom.us%2Fj%2F95930183632&amp;data=05%7C02%7Ctm186%40gtvault.onmicrosoft.com%7Cae2b5e1144c24fc224b508de9592fdc6%7C482198bbae7b4b258b7a6d7f32faa083%7C1%7C0%7C639112655725188118%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&amp;sdata=VFu5ueasP1PZplHVZVUozXwvnT4W8DBErzgnSS4YVbI%3D&amp;reserved=0">https://gatech.zoom.us/j/95930183632</a></p><p>&nbsp;</p><p><strong>Committee</strong>&nbsp;&nbsp;<br>Dr. Bo Zhu (Advisor) –&nbsp;School of Interactive Computing, Georgia Institute of Technology</p><p>Dr. Greg Turk –&nbsp;School of Interactive Computing, Georgia Institute of Technology</p><p>Dr. Yalong Yang –&nbsp;School of Interactive Computing, Georgia Institute of Technology</p><p>&nbsp;&nbsp;</p><p><strong>Duowen Chen</strong></p><p>Ph.D. Student</p><p>School of Interactive Computing&nbsp;</p><p>Georgia Institute of Technology&nbsp;</p><p>&nbsp;</p><p>&nbsp;</p><p>&nbsp;</p><p>&nbsp;<strong>Abstract:&nbsp;</strong>Physical simulation plays a central role in computer graphics and scientific computing, but existing methods often remain fragmented across scales, representations, and sensory outputs. This thesis develops a physics-grounded approach to world modeling that connects accurate simulation, expressive representation, and multimodal generation. On the simulation side, I present completed work on dynamic interface tracking, solid–fluid coupling, and compressible flow simulation, using neural implicit representations and flow-map-based transport to improve geometric fidelity, long-horizon advection accuracy, and the modeling of complex physical interactions. Building on this foundation, I propose two new directions that extend physical simulation into richer multimodal world representations. The first develops a memory-augmented framework for wildfire world modeling, where physically meaningful simulations are translated into realistic digital-twin videos and combined with retrieval and vision-language reasoning to support environment understanding and structured reporting. The second develops a framework for spatial sound generation in 3D worlds, integrating layered scene reconstruction, semantically grounded sound synthesis, source localization, and physics-guided acoustic rendering to generate audio consistent with scene geometry and listener motion. Taken together, this thesis advances a broader view of world modeling in which physical simulation is not only a tool for reproducing dynamics, but also a foundation for building coherent visual, geometric, and auditory representations across scales and modalities.</p><p>&nbsp;</p><p>&nbsp;</p>]]></body>
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