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Jordan Ewing

Adjunct Assistant Professor
image of Jordan Ewing

Research Interests

Remote sensing applications, machine/deep learning modeling, mobility analysis

Biography

Dr. Jordan Ewing has a Ph.D. in Computational Science and Engineering from Michigan Technological University and is a recipient of the SMART Scholarship. He has also obtained two master’s degrees, one in Physics from Wright State University and another in Data Science from Michigan Technological University. Dr. Ewing is a member of both NATO AVT 308 and AVT 341. His research involves using remote sensing technologies, machine learning, and deep learning to develop predictive models for mobility purposes and terramechanics applications. His research applies to the development of the Next Generation – NATO Reference Mobility Model (NG-NRMM).

Publications

  1. Predicting USCS soil texture classes utilizing soil spectra and deep learning     https://link.springer.com/article/10.1007/s11368-024-03921-8
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  3. Terrain Characterization via Machine vs. Deep Learning Using Remote Sensing    https://www.mdpi.com/1424-8220/23/12/5505
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  5. Exploration of robust and intelligent navigation algorithms to ensure off-road autonomous vehicle mobility    https://www.inderscienceonline.com/doi/abs/10.1504/IJVP.2024.140004
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  7. Decision-Making for Autonomous Mobility Using Remotely Sensed Terrain Parameters in Off-Road Environments   https://legacy.sae.org/publications/technical-papers/content/2021-01-0233/

  • School

    School of Engineering

  • Campuses

    Oxford

  • Areas of Expertise

    Remote sensing applications, machine/deep learning modeling, mobility analysis

Recognitions

  • SMART Scholar and Mentor of the Year Award, Department of War, 2024