• Assistant Professor, Computer Science & Engineering
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Victoria Crawford

Educational Background

  • Ph.D., Computer Engineering, University of Florida, 2022
  • M.S., Mathematics, University of Florida, 2016
  • B.S., Mathematics, University of Florida, 2012

Research Interests

    • Approximation algorithms
    • Applied optimization
    • Data mining

Awards & Honors

  • Gartner Group Graduate Fellowship, 2019
  • Harris Fellowship, 2017
  • Graduate School Fellowship Award, University of Florida, 2016

Selected Publications

  • Victoria G. Crawford. Faster Guarantees of Evolutionary Algorithms for Maximization of Monotone Submodular Functions. International Joint Conference on Artificial Intelligence (IJCAI), 2021.
  • Victoria G. Crawford. An Efficient Evolutionary Algorithm for Minimum Cost Submodular Cover. International Joint Conference on Artificial Intelligence (IJCAI), 2019.
  • Victoria G. Crawford, Alan Kuhnle, My T. Thai. Submodular Cost Submodular Cover with an Approximate Oracle. International Conference on Machine Learning (ICML), 2019.
  • Alan Kuhnle, J. David Smith, Victoria G. Crawford, My T. Thai. Fast Maximization of Non-submodular, Monotonic Functions on the Integer Lattice. International Conference on Machine Learning (ICML), 2018.
  • Victoria G. Crawford*, Alan Kuhnle*, Christina Boucher, Rayan Chikhi, Travis Gagie. Practical Dynamic De Bruijn Graphs. Bioinformatics, 2018.
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