Specializations

  • Data Science
  • Information and Society
  • Human-Computer Interaction

Courses

  • INFO 201 - Foundational Skills For Data Science
  • INFO 474 - Interactive Information Visualization

Biography

Julia Deeb-Swihart brings her deep experience in machine learning, information visualization, and human-centered design to the iSchool as an assistant teaching professor in data, design and development for a more just world. As a researcher, she uses her knowledge to design and build tools to combat human trafficking. Deeb-Swihart’s teaching focuses on the intersection of Human-Computer Interaction, Data Science, and Ethics, with additional expertise in computer vision and computational criminal justice. She is a Ph.D. candidate (anticipated Autumn 2021) with the School of Interactive Computing at Georgia Tech’s College of Computing, where she previously earned her B.S. in computer science.

Education

  • Ph D, Computer Science, Georgia Institute of Technology, 2021
  • BS, Computer Science, Georgia Institute of Technology, 2014

Publications and Contributions

  • Conference Paper
    Understanding Law Enforcement Strategies and Needs for Combating Human Tracking (2019)
    Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI ’19) Authors: Julia Deeb-Swihart, Alex Endert, Amy Bruckman
  • Conference Paper
    Selfie-Presentation in Everyday Life: A Large-Scale Characterization of Selfie Contexts on Instagram. (2017)
    ICWSM Authors: Julia Deeb-Swihart, C. Polack, E. Gilbert, I. A. Essa
  • Conference Paper
    Getting it right the first time: Robot mission guarantees in the presence of uncertainty (2013)
    2013 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Authors: Julia Deeb-Swihart, Damian M. Lyons