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Phil Sallee

Computer Vision and Machine Learning Engineer

Phil Sallee is a highly experienced Senior Principal Computer Vision and Machine Learning Engineer at Raytheon Technologies, based in Sterling, Virginia. With over 20 years in the field, he specializes in computer vision and machine learning, contributing significantly to advancements in these areas at Raytheon since July 2017. His career includes various roles, such as Tech Fellow and Associate Director of Research at Raytheon, and he previously worked as a Senior Lead Technologist at Booz Allen Hamilton for over 13 years.12

Education

Phil Sallee holds a Bachelor of Science in Computer Science from Biola University (1993), a Master's degree in Computer Science (2000), and a Ph.D. in Computer Science (2004) from the University of California, Davis. His doctoral research focused on statistical methods for signal and image processing under the supervision of Dr. Bruno Olshausen.12

Professional Experience

  • Raytheon Technologies

    • Senior Principal Computer Vision and Machine Learning Engineer (July 2017 - May 2022)
    • Associate Director of Research (May 2022 - February 2023)
    • Tech Fellow, Research (February 2023 - Present)
  • Booz Allen Hamilton

    • Senior Lead Technologist (February 2004 - July 2017)
  • American University

    • Adjunct Professorial Lecturer (January 2021 - Present)

Honors and Awards

Sallee has received several accolades throughout his career, including:

  • IWDW Best Student Paper Award from the International Workshop on Digital Watermarking (2003)
  • Booz Allen Excellence Award for Innovation in the Face of Mission Needs (2011).13

His expertise encompasses deep learning, unsupervised learning, and applications in digital forensics and steganography.24

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Phil Sallee
Phil Sallee, photo 1
Phil Sallee, photo 2
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Location

McLean, Virginia, United States