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<p class="MsoNormal" style="background:white"><span style="font-size:12.0pt;font-family:"Times New Roman",serif;color:black">Jefferson Lab's Graduate Student and Post-Doc Association Wiki:</span><span style="font-size:12.0pt;font-family:"Times New Roman",serif"><o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="font-size:12.0pt;font-family:"Times New Roman",serif;color:black"> </span><span style="font-size:12.0pt;font-family:"Times New Roman",serif"><o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="font-size:12.0pt;font-family:"Times New Roman",serif;color:black"> </span><u><span style="font-size:12.0pt;font-family:"Times New Roman",serif;color:blue"><a href="https://gspda.jlab.org/wiki/index.php/Main_Page" title="https://gspda.jlab.org/wiki/index.php/Main_Page"><span style="color:blue">https://gspda.jlab.org/wiki/index.php/Main_Page</span></a></span></u><span style="font-size:12.0pt;font-family:"Times New Roman",serif"><o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="color:#242424"> </span><span style="font-size:12.0pt;font-family:"Times New Roman",serif"><o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="font-size:12.0pt;font-family:"Times New Roman",serif;color:#242424">This program is supported by the Initiatives Fund Program, a JSA commitment, to</span><span style="font-size:12.0pt;font-family:"Times New Roman",serif"><o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="font-size:12.0pt;font-family:"Times New Roman",serif;color:#242424">support programs, initiatives, and activities that further the scientific outreach, promote</span><span style="font-size:12.0pt;font-family:"Times New Roman",serif"><o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="font-size:12.0pt;font-family:"Times New Roman",serif;color:#242424">the science, education and technology of Jefferson Lab and benefit the Lab’s extended</span><span style="font-size:12.0pt;font-family:"Times New Roman",serif"><o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="font-size:12.0pt;font-family:"Times New Roman",serif;color:#242424">user community in ways that complement the Lab’s basic and applied research missions.</span><span style="font-size:12.0pt;font-family:"Times New Roman",serif"><o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="color:#242424"> </span><span style="font-size:12.0pt;font-family:"Times New Roman",serif"><o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="font-size:12.0pt;font-family:"Times New Roman",serif;color:#242424"> </span><span style="font-size:12.0pt;font-family:"Times New Roman",serif"><o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="font-size:12.0pt;font-family:"Times New Roman",serif;color:#242424"> </span><span style="font-size:12.0pt;font-family:"Times New Roman",serif"><o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="font-size:12.0pt;font-family:"Times New Roman",serif;color:#242424"> Wednesday, April 23, 2025</span><span style="font-size:12.0pt;font-family:"Times New Roman",serif"><o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="font-size:12.0pt;font-family:"Times New Roman",serif;color:#242424"> </span><span style="font-size:12.0pt;font-family:"Times New Roman",serif"><o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="font-size:12.0pt;font-family:"Times New Roman",serif;color:#242424"> ***F326/327***</span><span style="font-size:12.0pt;font-family:"Times New Roman",serif"><o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="font-size:12.0pt;font-family:"Times New Roman",serif;color:#242424"> </span><span style="font-size:12.0pt;font-family:"Times New Roman",serif"><o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="font-size:12.0pt;font-family:"Times New Roman",serif;color:#242424"> 12:00 am – 1:00 pm</span><span style="font-size:12.0pt;font-family:"Times New Roman",serif"><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Times New Roman",serif"> "Machine learning for real-time flooding decision support"</span><span style="font-size:12.0pt;font-family:"Times New Roman",serif"><o:p></o:p></span></p>
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<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Times New Roman",serif"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Times New Roman",serif"> Diana McSpadden<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-family:"Times New Roman",serif"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-family:"Times New Roman",serif"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-family:"Times New Roman",serif">Abstract:
<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-family:"Times New Roman",serif"><o:p> </o:p></span></p>
<p style="mso-margin-top-alt:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:13.8pt">
The presentation covers various aspects of the project, including the supervised <o:p>
</o:p></p>
<p style="mso-margin-top-alt:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:13.8pt">
training of ML models, the comparison of different ML surrogate models, and <o:p>
</o:p></p>
<p style="mso-margin-top-alt:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:13.8pt">
the incorporation of uncertainty quantification. Key highlights include using <o:p>
</o:p></p>
<p style="mso-margin-top-alt:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:13.8pt">
Long Short-Term Memory (LSTM) models for flood prediction, integrating<o:p></o:p></p>
<p style="mso-margin-top-alt:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:13.8pt">
physics-informed hydrodynamic models, and developing a deep quantile <o:p></o:p></p>
<p style="mso-margin-top-alt:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:13.8pt">
regression framework for uncertainty-aware predictions. The research <o:p></o:p></p>
<p style="mso-margin-top-alt:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:13.8pt">
demonstrates the potential of ML models to provide accurate and timely flood <o:p>
</o:p></p>
<p style="mso-margin-top-alt:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:13.8pt">
predictions, significantly reducing computational time compared to traditional <o:p>
</o:p></p>
<p style="mso-margin-top-alt:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:13.8pt">
hydrodynamic models. The presentation also emphasizes the importance of <o:p></o:p></p>
<p style="mso-margin-top-alt:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:13.8pt">
interdisciplinary collaboration. The findings presented aim to contribute to the <o:p>
</o:p></p>
<p style="mso-margin-top-alt:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:13.8pt">
broader field of environmental studies and provide valuable insights for real-time
<o:p></o:p></p>
<p style="mso-margin-top-alt:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:13.8pt">
decision support in urban coastal flooding scenarios. <o:p></o:p></p>
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