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Trey Crump

Graduate Research Assistant at Yale Institute for Network Science
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New Haven, Connecticut, United States, US
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I am Trey Crump, currently based in New Haven, Connecticut, where I work as a Graduate Research Assistant at the Yale Institute for Network Science. With a strong background in Electrical Engineering, I hold a Ph.D. from Yale University, along with both a Master's and Bachelor's degree from the University of Oklahoma. My research focuses on statistical signal processing and machine learning, including developing a novel conditional diffusion architecture during my recent AI/ML internship at Leidos. I have also engaged in significant radar detection research and quantum networking investigations. Fluent in English, I possess a passion for advancing technologies in signal processing and automatic target recognition. I thrive in collaborative environments and am driven to contribute to innovative projects in my field.

Experience

  • Yale Institute for Network Science
    • New Haven, CT
    • Graduate Research Assistant
      • Aug 2022 - Present
      • New Haven, CT

      Performing research in statistical signal processing and machine learning.Teaching assistant for EENG 200: Introduction to Electronics (Fall 2023) and AMTH 362: Decisions and Computations across Networks (Spring 2024).

  • Leidos
    • Beavercreek, Ohio, United States
    • PhD AI/ML Research Intern
      • May 2023 - Aug 2023
      • Beavercreek, Ohio, United States

      Created a novel conditional diffusion architecture for improving synthetic dataset creation, helping to bridge the gap between measured and synthetic SAR datasets. The trained model improved dataset variability, permitted the creation of realistic confusers, and allowed for non-measured targets to be inserted within the measured domain, aiding in automatic target recognition (ATR) model performance.

  • Center for Quantum Networks
    • Tucson, AZ
    • REU
      • May 2022 - Aug 2022
      • Tucson, AZ

      Performed preliminary work and investigated key issues of quantum networking under Dr. Leandros Tassiulas.

  • ARRC - Advanced Radar Research Center, University of Oklahoma
    • Norman, OK
    • Graduate Research Assistant
      • Aug 2019 - Jul 2022
      • Norman, OK

      Performed novel research investigating the information content of radar detection for spectral optimization, quantifying spectral usage for different target assumptions in radar detection.Designed and fabricated RF filters and antennas for use in different radar systems.Teaching assistant for undergraduate and graduate sections of ECE 4213/5213: Digital Signal Processing (Fall 2021).

  • NASA Goddard Space Flight Center
    • Greenbelt, MD
    • Synthetic Aperture Radar Instrument Development Group Intern
      • May 2021 - Aug 2021
      • Greenbelt, MD

      Designed and fabricated different RF power amplifier biasing solutions for the transceiver of the Space Exploration Synthetic Aperture Radar (SESAR), allowing for autonomous operation and preventing system failure under brown-outs.

Education

  • 2022 - 2027
    Yale University
    Doctor of Philosophy - Ph.D., Electrical Engineering
  • 2022 - 2022
    University of Oklahoma
    Master of Science - M.S., Electrical and Computer Engineering
  • 2017 - 2022
    University of Oklahoma
    Bachelor of Science - B.S., Electrical Engineering

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