Ali Khodabakhsh

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I am an AI/ML Engineer at Polygraf AI, where my work spans the breadth of AI governance — from detecting AI-generated, synthetic, and manipulated content, to building privacy-preserving systems that prevent the leakage of sensitive data through AI channels.

Prior to that, I received my Ph.D. from the Department of Electrical and Computer Engineering at The University of Texas at Austin, where I was part of the Wireless Networking and Communications Group (WNCG). During my Ph.D., I worked on the design and analysis of approximation algorithms with provable performance guarantees, with a special focus on applications in energy systems.

Education

Selected Publications

  1. SODA
    Simple Delegated Choice
    Ali Khodabakhsh, Emmanouil Pountourakis, and Samuel Taggart
    In Proceedings of the 35th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), Jan 2024
  2. ICASSP
    Digraph Fourier Transform via Spectral Dispersion Minimization
    Rasoul Shafipour, Ali Khodabakhsh, Gonzalo Mateos, and 1 more author
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr 2018
  3. HICSS
    A Submodular Approach for Electricity Distribution Network Reconfiguration
    Ali Khodabakhsh, Ger Yang, Soumya Basu, and 4 more authors
    In Proceedings of the 51st Hawaii International Conference on System Sciences (HICSS), Jan 2018