Louis Ly

Louis Ly

I am a Ph.D. student in the Institute for Computational Science and Engineering at the University of Texas at Austin. I work with Dr. Richard Tsai on problems in machine learning, computer vision, and robotics. Before coming to Austin, I completed my Masters degree in Applied Mathematics from the University of Michigan, where I worked with Dr. Selim Esedoglu. I also have undergraduate degrees in Studio Art and Mathematics from the University of California, Irvine.

Recent News

  • Our paper "Strategy Synthesis for Surveillance-Evasion Games with Learning-enabled Visibility Optimization" accepted at CDC 2019.
  • In Summer 2019, I'll be interning at Google.
  • Our paper "Autonomous Exploration, Reconstruction, and Surveillance of 3D Environments Aided by Deep Learning" accepted at ICRA 2019.
  • In Spring 2019, I'll be attending the IPAM Long Program: Geometry and Learning from Data in 3D and Beyond as a Senior Fellow.

    • Projects

    Strategy Synthesis for Surveillance-Evasion Games with Learning-enabled Visibility Optimization

    We study a two-player game with a quantitative surveillance requirement on an adversarial target moving in a discrete state space and a secondary objective to maximize short-term visibility of the environment.

    Autonomous Exploration, Reconstruction, and Surveillance Aided by Deep Learning

    We develop a new state-of-the-art deep learning strategy for prescribing vantage points for optimal sensor placement. This approach uses a robust volumetric visibility computation to efficiently model arbitrary geometries.