Jordan Alexis Caraballo-Vega

Jordan Alexis Caraballo-Vega

  • AST, SOFTWARE SYSTEMS
  • 301.286.7741
  • Org Code: 587
  • NASA/GSFC
  • Mail Code: 606.2
  • Greenbelt , MD 20771
  • Employer: NASA
  • Brief Bio

    Specialize in the development of software to support science research in the areas of Earth Observation, artificial intelligence, security, GPU-computing, and hardware-accelerated applications. Some ongoing projects include: land cover land use change (LCLUC), object detection, and semantic segmentation of multi-spectral remote sensing imagery.

    Positions/Employment

    1/2020 - Present

    Computer Engineer, AST

    Science Data Processing Branch, CISTO Data Science Group, Goddard Space Flight Center, Greenbelt, Maryland

    Development of AI/ML, high-performance computing, and GPU-accelerated software for the analysis of remotely sensed data.

    8/2018 - 12/2019

    Pathways Engineering Trainee

    Science Data Processing Branch, Goddard Space Flight Center, Greenbelt, MD

    Development of software to support science data processing research.

    2013 - 2020

    Computational Research Assistant

    Partnership for Research and Education in Materials (PREM), NSF, Humacao, Puerto Rico

    Lead a team of five undergraduate students in the development of material science computational projects. Developed and implemented software to accelerate molecular dynamics simulations in HPC environments. Assisted and collaborated with ongoing research projects in the area of data mining, clustering, image processing, and machine learning. Studied biological and electrical systems applied to physical sensors by means of molecular dynamics simulations.

    2016 - 2018

    Computer Science Trainee

    NASA Center for Climate Simulation, Goddard Space Flight Center, Greenbelt, Maryland

    Intern: Summer 2016, Fall 2016, Summer 2017, Summer 2018; Contractor under ADNET LLC: Spring 2017, Fall 2017, Spring 2018;

    Responsible for the engineering of software and information systems to support a critical log analysis infrastructure for monitoring and anomaly detection of high-performance computing systems. Served as a Linux and Unix system administrator for security and resource intensive systems, including revision control, networking, and user-facing virtual machines. Designed and developed software to support several computing intensive applications via multi-node MPI implementations and DevSecOps initiatives.

    Education

    2022 – Present  PhD Geographical Sciences, University of Maryland, College Park, USA.

    2015 – 2020 B.S. Computational Mathematics, Major Computer Science, University of Puerto Rico at Humacao, PR.

    Professional Societies

    American Geophysical Union (AGU), 2021 - Present
    Member
    NASA Intelligent Systems for Data Analysis Technologies (ISDAT), 2018 - Present
    Member
    NASA Hispanic Advisory Committee for Employees (HACE), 2016 - Present
    Member
    UPRH Consortium of Mathematics and Computer Science (ASMACC), 2015 - 2020
    Member
    Materials Research Society (MRS), 2014 - Present
    Member

    Awards

    • 2021 - Employee Contribution Award, SEWP, NASA HQ
    • 2021 - Special Act Award, CISTO, NASA GSFC
    • 2020 - Group Achievement Award, ISDAT, NASA GSFC
    • 2019 - Robert H. Goddard Exceptional Achievement for Mission Support, NCCS, NASA GSFC
    • 2017 - John Mather Scholarship Awardee
    • 2015 - NASA Minority University Research Education Program Scholarship Awardee
    • 2015 - Brystol Myers Squib Industry Excellence in Science and Math Scholarship Awardee
    • 2013 - Partnership for Research and Education in Materials Research Fellowship Awardee

    Publications

    Refereed

    Caraballo-Vega, J., M. Carroll, C. Neigh, et al. M. Wooten, B. Lee, A. Weis, M. Aronne, W. Alemu, and Z. Williams. 2022. "Optimizing WorldView-2, -3 cloud masking using machine learning approaches." Remote Sensing of Environment, 284: 113332 [10.1016/j.rse.2022.113332]

    Caraballo-Vega, J. A., N. S. Smith, M. L. Carroll, et al. L. Carriere, J. E. Jasen, M. T. Le, J. Li, K. Peck, S. L. Strong, G. S. Tamkin, M. A. Thompson, and J. H. Thompson. 2022. "Remote Sensing Powered Containers for Big Data and AI/ML Analysis: Accelerating Science, Standardizing Operations." IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, [10.1109/igarss46834.2022.9883436]

    Brief Bio

    Specialize in the development of software to support science research in the areas of Earth Observation, artificial intelligence, security, GPU-computing, and hardware-accelerated applications. Some ongoing projects include: land cover land use change (LCLUC), object detection, and semantic segmentation of multi-spectral remote sensing imagery.

    Publications

    Refereed

    Caraballo-Vega, J., M. Carroll, C. Neigh, et al. M. Wooten, B. Lee, A. Weis, M. Aronne, W. Alemu, and Z. Williams. 2022. "Optimizing WorldView-2, -3 cloud masking using machine learning approaches." Remote Sensing of Environment 284 113332 [10.1016/j.rse.2022.113332]

    Caraballo-Vega, J. A., N. S. Smith, M. L. Carroll, et al. L. Carriere, J. E. Jasen, M. T. Le, J. Li, K. Peck, S. L. Strong, G. S. Tamkin, M. A. Thompson, and J. H. Thompson. 2022. "Remote Sensing Powered Containers for Big Data and AI/ML Analysis: Accelerating Science, Standardizing Operations." IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium [10.1109/igarss46834.2022.9883436]

                                                                                                                                                                                            
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