Ali Vakilian
I am a Research Assistant Professor at Toyota Technological Institute—Chicago (TTIC).
  • Ph.D., EECS Department, MIT
    Advisors: Erik Demaine and Piotr Indyk
  • M.S., CS Department, University of Illinois at Urbana-Champaign (UIUC)
    Advisor: Chandra Chekuri
  • B.S., CE Department, Sharif University
Research Interests
  • Learning-Based/Data Driven Algorithms
  • Algorithmic Fairness
  • Design and Analysis of Algorithms for Massive Data
  • Approximation Algorithms, Combinatorial Optimization, and Graph Algorithms
Academic Service
CV [Last update: May 2023]

Email: vakilian[at]ttic[dot]edu
Publications Massive Data Graph Algorithms Machine Learning
Conference Papers
Publication Profiles
  • Algorithm Design in the Machine Learning Era
    • Research at TTIC; May 13, 2022
  • Individually Fair Clustering [video]
    • IDEAL Workshop on Clustering; April 23, 2022
  • Algorithms for Socially Fair Clustering
    • University of Wisconsin—Madison, IFDS; June 10, 2021
  • Approximation Algorithms for Fair Clustering
    • Google Research; April 15, 2021.

    • UIUC, Department of Computer Science; April 19, 2021.

    • University of Washington; April 20, 2021.

    • Joint Purdue University and University of Michigan Theory Seminar; April 23 2021.

    • TOC4Fairness Seminar; April 28, 2021.

    • MIT A&C Seminar; May 10, 2021.

    • UC San Diego, Department of Computer Science & Engineering; May 17, 2021.

    • UWaterloo, Combinatoics & Optimization Department; May 17, 2021.
  • Learning-based Algorithms For Massive Data
    • INFORMS Annual Meeting; November 10, 2020.
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