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    <loc>https://alejandro-sosa.com/about</loc>
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    <lastmod>2024-12-30</lastmod>
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  <url>
    <loc>https://alejandro-sosa.com/contact</loc>
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    <lastmod>2020-04-18</lastmod>
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    <loc>https://alejandro-sosa.com/school</loc>
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    <priority>1.0</priority>
    <lastmod>2022-02-27</lastmod>
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    <loc>https://alejandro-sosa.com/school/uav</loc>
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    <lastmod>2021-02-21</lastmod>
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      <image:title>School - UAV Rescue</image:title>
      <image:caption>Asset path generated using recorded PixHawk and GPS data.</image:caption>
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      <image:title>School - UAV Rescue</image:title>
      <image:caption>One of the floating assets, named Oscar, being tested for telemetry reliability and autonomous protocol optimization.</image:caption>
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      <image:title>School - UAV Rescue</image:title>
      <image:caption>Calibration board used for testing individual assets. Seen here are a PixHawk autopilot, as well as GPS, power, and telemetry hardware.</image:caption>
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  <url>
    <loc>https://alejandro-sosa.com/school/isa</loc>
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    <lastmod>2021-04-13</lastmod>
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      <image:title>School - In-Space Assembly</image:title>
      <image:caption>Hill-Clohessy-Wiltshire equations used for Rendezvous &amp; Proximity Operations</image:caption>
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      <image:title>School - In-Space Assembly</image:title>
      <image:caption>Path-optimized low-thrust Earth-Mars transfer using minimum fuel (left) and minimum time (right)</image:caption>
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    <loc>https://alejandro-sosa.com/school/drones</loc>
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    <lastmod>2021-02-21</lastmod>
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      <image:title>School - SpaceDrones</image:title>
      <image:caption>Virginia Tech’s drone cage, where the obstacle course will be built</image:caption>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/5e97add7d992e62214e1305f/1613933783534-UFOPJ7E7CFFMP1G7ZEWQ/Drones_DroneClay.png</image:loc>
      <image:title>School - SpaceDrones</image:title>
      <image:caption>On-board NVIDIA Jetson Nano and camera</image:caption>
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    <image:image>
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      <image:title>School - SpaceDrones</image:title>
      <image:caption>Rendered video of competition gate using Blender</image:caption>
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    <loc>https://alejandro-sosa.com/school/mav</loc>
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    <priority>0.5</priority>
    <lastmod>2022-02-27</lastmod>
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    <loc>https://alejandro-sosa.com/school/luna</loc>
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    <priority>0.5</priority>
    <lastmod>2021-03-10</lastmod>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/5e97add7d992e62214e1305f/1615339677918-GQ7CFTPQ0ZE1U2DDQ3U9/Tug_Gateway.png</image:loc>
      <image:title>School - Cislunar Tug</image:title>
      <image:caption>Lunar Gateway, where the resupply module will reside</image:caption>
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      <image:title>School - Cislunar Tug</image:title>
      <image:caption>Concept Tug showcasing the hybrid configuration, where the chemical module is stowed inside the electric module.</image:caption>
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    <image:image>
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      <image:title>School - Cislunar Tug</image:title>
      <image:caption>Concept Tug showcasing the independently-operating chemical and electric modules</image:caption>
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      <image:title>School - Cislunar Tug - Leadership</image:title>
      <image:caption>Project Luna consisted of eleven students united by a passion to create. From early on, I dedicated much energy to effecting good teamwork. This included everything from strengthening communication channels, organizing effective meetings, and dividing labor in a way that capitalized on everyone’s individual abilities. Ultimately, this ensured a common understanding of project goals and requirements, resulting in an award-winning design.</image:caption>
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      <image:title>School - Cislunar Tug - Competition</image:title>
      <image:caption>The 2019 competition challenged 80+ university teams to develop a spacecraft that could be used to transport payloads in the cislunar environment. Through a multi-phase formal proposal process, teams were down-selected until only 12 remained. As finalists, Project Luna presented at the 2019 RASC-AL Forum, winning 1st place in-theme and 2nd place overall.</image:caption>
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      <image:title>School - Cislunar Tug - Integrated Design</image:title>
      <image:caption>As leader, I participated in design of most subsystems, with special focus on GNC and orbital maneuvering. Additionally, I implemented a model-based approach that allowed for simulation of subsystem integration and full-architecture optimization. To this end, I developed a computational model of the spacecraft that simulated the interactions between the different subsystems. This allowed for faster, more focused design optimization.</image:caption>
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    <image:image>
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      <image:title>School - Cislunar Tug - Presentations</image:title>
      <image:caption>The 2019 RASC-AL finalists presented their designs to NASA and industry experts in Cocoa Beach, FL. This allowed us to thoroughly evaluate key design decisions, and expanded our understanding of areas the design could be improved on. As winners, Project Luna also presented at AIAA’s 2019 Propulsion &amp; Energy conference in Indianapolis.</image:caption>
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  </url>
  <url>
    <loc>https://alejandro-sosa.com/school/formula</loc>
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    <priority>0.5</priority>
    <lastmod>2020-05-04</lastmod>
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      <image:title>School - Formula SAE</image:title>
      <image:caption>Siemens NX was used to create all parts and assemble complete car models.</image:caption>
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    <image:image>
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      <image:title>School - Formula SAE</image:title>
      <image:caption>Individual parts were tested using Virginia Tech facilities such as the wind tunnel, while the assembled vehicle was track tested. Here, strings and a mounted camera were used to track test the front wing.</image:caption>
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    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5e97add7d992e62214e1305f/1587067526123-07WLL0JI9DFVOJGJBLA0/Formula+Build.JPG</image:loc>
      <image:title>School - Formula SAE</image:title>
      <image:caption>VT Motorsports operated at Virginia Tech’s Ware Lab, which had welding, machining, and composites areas.</image:caption>
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      <image:title>School - Formula SAE - Composite Materials</image:title>
      <image:caption>Front and rear wings were manufactured out of a lightweight foam core reinforced with multiple layers of carbon-fiber, while the nosecone used a honeycomb core. These carbon-fiber layers were bonded using resin and hardened using a custom-built oven and vacuum system.</image:caption>
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  <url>
    <loc>https://alejandro-sosa.com/work</loc>
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    <priority>0.75</priority>
    <lastmod>2021-10-27</lastmod>
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  <url>
    <loc>https://alejandro-sosa.com/work/sedaro</loc>
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    <priority>0.5</priority>
    <lastmod>2022-02-27</lastmod>
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  <url>
    <loc>https://alejandro-sosa.com/work/masten</loc>
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    <priority>0.5</priority>
    <lastmod>2022-05-03</lastmod>
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  <url>
    <loc>https://alejandro-sosa.com/work/relativity</loc>
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    <lastmod>2022-05-24</lastmod>
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