• Assistant Professor, Computer Science & Engineering
Dr. Nate Veldt

Educational Background

  • Ph.D. Mathematics: Concentration in Computational Science, Purdue University - 2019
  • M.S. Mathematics, Purdue University - 2017
  • B.S. Mathematics, Wheaton College - 2013

Research Interests

    • Graph algorithms
    • Network science
    • Matrix computations
    • Computational optimization
    • Data science, machine learning

Awards & Honors

  • Dimitris N. Chorafas Foundation Award - 2019
  • National Science Foundation East Asia and Pacific Summer Institute Award - 2016

Selected Publications

  • P. Chodrow, N. Veldt, A. Benson, "Generative Hypergraph Clustering: From Blockmodels to Modularity," Science Advances, 2021
  • N. Veldt, A. Benson, J. Kleinberg, "Minimizing Localized Ratio Cut Objectives in Hypergraphs," KDD 2020
  • N. Veldt, D. Gleich, A. Wirth, "A Correlation Clustering Framework for Community Detection," WWW 2018
  • H. Nassar, N. Veldt, S. Mohammadi, A. Grama, D. Gleich, "Low-Rank Spectral Network Alignment," WWW 2018
  • N. Veldt, D. Gleich, M. Mahoney, "A Simple and Strongly-Local Flow-Based Method for Cut Improvement," ICML 2016