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Ian DeHaan

idehaan at umich dot edu

Computer Science PhD at UMichigan (2024-sometime)
Combinatorics and Optimization MMath at UWaterloo (2022-2024)
Computing Science BSc at UAlberta (2018-2022)

github | kattis | codeforces | google scholar | dblp

About Me

I am a PhD student in CSE at the University of Michigan, where I work with Euiwoong Lee on approximation algorithms. Before this, I worked on online algorithms with Kanstantsin Pashkovich at the University of Waterloo. Even earlier, I was a computing science undergrad at the University of Alberta, where I worked with Zachary Friggstad on approximation algorithms.

I'm interested in structural graph theory and approximation algorithms, along with most areas of theoretical computer science. Much of my past and current work involves finding improved approximations for classic optimization problems when the input is restricted to graphs from some structured class.

Publications

  1. Approximating Maximum Cut on Interval Graphs and Split Graphs beyond Goemans-Williamson
    with Jungho Ahn and Eun Jung Kim and Euiwoong Lee
    [arXiv] [APPROX '25]
  2. On the Constant-Factor Approximability of Minimum Cost Constraint Satisfaction Problems
    with Neng Huang and Euiwoong Lee
    [arXiv] [APPROX '25]
  3. Matroid Bayesian Online Selection
    with Kanstantsin Pashkovich
    [arXiv] [SAGT '24]
  4. Approximate Minimum Sum Colorings and Maximum k-Colorable Subgraphs of Chordal Graphs
    with Zachary Friggstad
    [arXiv] [WADS '23]

Competitive Programming

I used to compete in contests, qualifying for the ICPC world finals twice. But lately I've been more involved in coaching and problemsetting. I currently coach the talented programming teams at UMichigan and set problems for a wide array of local contests, many of which are available on open kattis.
If you are a student at UMich and are interested in competitive programming, please email me.
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