• Assistant Professor, Computer Science & Engineering
Dr. Alan Kuhnle

Educational Background

  • Ph.D., Computer Science, University of Florida, 2018
  • M.S., Mathematics, University of Florida, 2013
  • B.S., Mathematics, Florida State University, 2010

Research Interests

    • Algorithms and theory
    • Machine learning
    • Data science
    • Combinatorial optimization

Awards & Honors

  • Office of Naval Research Summer Faculty Research Fellow, 2022
  • Best Runner-Up Paper Award, International Conference on Advances in Social Networks Analysis and Mining, 2018

Selected Publications

  • Best of Both Worlds: Practical and Theoretically Optimal Submodular Maximization in Parallel. Yixin Chen, Tonmoy Dey, Alan Kuhnle. Neural Information Processing Systems (NeurIPS), 2021.
  • Quick Streaming Algorithms for Maximization of Monotone Submodular Functions in Linear Time. Alan Kuhnle. Artificial Intelligence and Statistics (AISTATS), 2021.