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  <title><![CDATA[PhD Defense by Benjamin Seleb]]></title>
  <body><![CDATA[<p>In partial fulfillment of the requirements for the degree of&nbsp;</p><p>Doctor of Philosophy in Quantitative Biosciences</p><p>in the School of Biological Sciences</p><p>&nbsp;</p><p><strong>Benjamin Seleb</strong></p><p>&nbsp;</p><p>Will defend his dissertation</p><p>&nbsp;</p><p><strong>The fast and the furriest: phase and amplitude dynamics of collective locomotion in sled dogs</strong></p><p>&nbsp;</p><p>Friday November 21st, 2025</p><p>At 1:00pm ET</p><p>IBB Petit Institute for Bioengineering and Bioscience, Suddath Seminar Room 1128</p><p>&nbsp;</p><p>Meeting URL: <a href="https://gatech.zoom.us/j/95175123913?pwd=ZGSaeeuFbafef32RdLSUyUyeyX7BHx.1">https://gatech.zoom.us/j/95175123913?pwd=ZGSaeeuFbafef32RdLSUyUyeyX7BHx.1</a><br>Meeting ID: 951 7512 3913</p><p><strong>Thesis Advisors:</strong></p><p>Dr. Saad Bhamla</p><p>School of Chemical and Biomolecular Engineering</p><p>Georgia Institute of Technology</p><p>&nbsp;</p><p>Dr. William C. Ratcliff</p><p>School of Biological Sciences</p><p>Georgia Institute of Technology</p><p>&nbsp;</p><p><strong>Committee Members:</strong></p><p>Dr. Young-Hui Chang</p><p>School of Biological Sciences</p><p>Georgia Institute of Technology</p><p>&nbsp;</p><p>Dr. Zeb Rocklin</p><p>School of Physics</p><p>Georgia Institute of Technology</p><p>&nbsp;</p><p>&nbsp;</p><p>Dr. Heather Huson</p><p>Department of Animal Science</p><p>Cornell University</p><p>&nbsp;</p><p><strong>Summary/Abstract:</strong>&nbsp;<br>Complex systems, from animal groups to evolving landscapes, exhibit collective behaviors that emerge from local interactions and shared constraints. When those interactions are mediated through physical or environmental coupling, coordination can arise without centralized control or explicit communication. This dissertation explores these interactions through the lenses of locomotion and landscape modification, reaching across biomechanics, nonlinear dynamics, and spatial ecology.</p><p>In harnessed animal teams, the interplay between individual locomotion and network geometry offers a window into mechanically coupled coordination and cooperative transport. High-resolution field measurements from racing sled dogs, collected using animal-borne sensors, are used to quantify stride timing, gait variability, and interaction dynamics within the team. These analyses draw from oscillator theory and computational ethology to interpret collective dynamics, revealing a robust system that tolerates individual autonomy.</p><p>At the landscape scale, agent-based simulations of grazing animals reveal how individual movement decisions, constrained by energetic cost and resource availability, can reorganize the terrain itself. Through repeated feedback between movement and environment, spatially ordered features emerge from the simple behavioral rules of inconspicuous grazers.</p><p>Using a varied toolkit of sensors, theory, and computation, this work shows how coupling and feedback manifest uniquely in collectives across scales. Ironically, whereas the coordinated team hides underlying disorder, haphazard grazers leave behind quiet order.</p><p>&nbsp;</p>]]></body>
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