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Carlos Paradis

I am employed by KBR where I am an Associate Technical Professional - Data Science at NASA Ames Research Center Robust Software Engineering group. I am also an active member of the MARGInS project.

Currently, I am a Ph.D. candidate in Computer Science at the University of Hawaii at Mānoa. My dissertation focuses on the automated identification of emerging safety threats over time, and their interpretability using natural language processing. Some of this research has been applied to the NASA Aviation Safety Reporting System.

I received an M.S. in Computer Science from the University of Hawaii at Mānoa in 2016, and an M.S. in Software Engineering from Stevens Institute of Technology in 2014. My B.S. is in Computer Science from Universidade Federal da Bahia, Brazil, in 2013.

Related Publications

  • Carlos Paradis, Rick Kazman, Misty Davies and Becky Hooey. "A Survey Protocol to Assess Meaningfulness and Usefulness of Automated Topic Finding in the NASA Aviation Safety Reporting System," AIAA Aviation 2021 Forum. August 2021. To appear.
  • Carlos Paradis, Rick Kazman, Misty Davies and Becky Hooey. "Augmenting Topic Finding in the NASA Aviation Safety Reporting System using Topic Modeling," AIAA 2021-1981. AIAA Scitech 2021 Forum. January 2021. [Paper PDF, AIAA Scitech].
  • Carlos Paradis, Rick Kazman and Misty D. Davies. "Towards Explaining Security Defects in Complex Autonomous Aerospace Systems," AIAA 2019-0770. AIAA Scitech 2019 Forum. January 2019. [Paper AIAA Scitech].

profile

Contact

Associate Technical Professional - Data Science
KBR
Ames Research Center
Moffett Field, CA 94035

Email: Carlos.V.Paradis "at" nasa.gov

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