Shyan Akmal

Shyan Akmal

Postdoctoral Fellow

MPI

Welcome!

I am a postdoctoral fellow in Theoretical Computer Science at the Max Planck Institute for Informatics. My research is in algorithm design, and I especially enjoy thinking about problems concerning graph algorithms, string algorithms, fine-grained complexity, parameterized complexity, and applications of algebraic methods in computer science.

Previously, I was a posdoctoral researcher at INSAIT supervised by Bernhard Haeupler. Prior to that, I completed my PhD at MIT, advised by both Virginia Vassilevska Williams, and Ryan Williams, and my B.S. at Harvey Mudd College. I have been fortunate to have several excellent mentors and, in particular, am indebted to JJP Veerman, Mohamed Omar, Jim Boerkoel, and Ran Libeskind-Hadas for sparking my interest in research.

You can contact me using the email listed here .

Publications

A Truly Subcubic Combinatorial Algorithm for Induced 4-Cycle Detection

with Amir Abboud and Nick Fischer

SODA 2026

arXiv Oded's Choice

Graph Coloring Below Guarantees via Co-Triangle Packing

with Tomohiro Koana

ISAAC 2025

arXiv Conference Proceedings

Faster Edge Coloring by Partition Sieving

with Tomohiro Koana

STACS 2025

arXiv Conference Proceedings

Detecting Disjoint Shortest Paths in Linear Time and More

with Virginia Vassilevska Williams and Nicole Wein

ICALP 2024

arXiv Conference Proceedings

If you are interested in learning about the linear-time algorithms for $\textsf{2-Disjoint Shortest Paths}$ discussed in this work, you may find the exposition in chapters six and eight of my thesis easier to follow. If you like this paper, you may also enjoy reading this work by Keerti Choudhary, Amit Kumar, and Lakshay Saggi, which applies similar algebraic techniques to solve more general problems.

An Enumerative Perspective on Connectivity

SOSA 2024
TheoretiCS 2024 · Invited to Special Issue

arXiv Conference Proceedings Journal Publication

Instead of reading this paper, you may find the exposition in chapters six and seven of my thesis easier to follow.

Faster Detours in Undirected Graphs

with Virginia Vassilevska Williams, Ryan Williams, and Zixuan Xu

ESA 2023

arXiv Conference Proceedings

A Local-to-Global Theorem for Congested Shortest Paths

with Nicole Wein

ESA 2023

arXiv Conference Proceedings

An Efficient Algorithm for All-Pairs Bounded Edge Connectivity

with Ce Jin

ICALP 2023
Algorithmica 2024

arXiv Conference Proceedings Journal Publication

Instead of reading this paper, you may find the exposition in chapters six and seven of my thesis easier to follow.

Improved Merlin-Arthur Protocols for Central Problems in Fine-Grained Complexity

with Ce Jin, Lijie Chen, Malvika Raj, and Ryan Williams

ITCS 2022
Algorithmica 2023

ECCC Conference Proceedings Journal Publication

Near-Optimal Quantum Algorithms for String Problems

with Ce Jin

SODA 2022
QIP 2022
Algorithmica 2023

arXiv Conference Proceedings Journal Publication

with Ryan Williams

FOCS 2021

arXiv Conference Extended Abstract A Nitter Thread Oxford-Warwick Presentation Slides LIS Natural Computation Presentation UWaterloo Solvers, ML, Logic, & Complexity Presentation FOCS Video

Instead of reading this paper, you may find the exposition in Part I of my thesis easier to follow.

If you like this paper, you may also enjoy this beautiful sequel work by Till Tantau.

Improved Approximation for Longest Common Subsequence over Small Alphabets

with Virginia Vassilevska Williams

ICALP 2021

arXiv Conference Proceedings SM Thesis Version Presentation

The main open problem raised by this work was resolved in this paper by Xiaoyu He and Ray Li.

Faster Algorithms for Bounded Tree Edit Distance

with Ce Jin

ICALP 2021

arXiv Conference Proceedings

If you like this work, you may also be interested in checking out this paper by Tomasz Kociumaka and Ali Shahali, which (among other results) simplifies the analysis of our algorithm and observes it applies to the weighted variant of tree edit distance as well.

Quantifying controllability in temporal networks with uncertainty

with Savana Ammons, Maggie Li, Michael Gao, Lindsay Popowski, and Jim Boerkoel

Artificial Intelligence 2020

Journal Publication

Quantifying Degrees of Controllability in Temporal Networks with Uncertainty

with Savana Ammons, Maggie Li, and Jim Boerkoel

ICAPS 2019 · Runner-Up for Best Student Paper

Conference Proceedings Presentation

On a Convex Set with Nondifferentiable Metric Projection

with Nguyen Mau Nam and J. J. P. Veerman

Optimization Letters 2015

arXiv Journal Publication

Recreational Math

During high school I participated in a few math contests, and in undergrad I wrote several problems for the Caltech Harvey Mudd Math Competition and USA Math Talent Search.

Some recreational (non-research) math problems which I particularly enjoyed from this time can be found here.

Dissertation

Parameterized Relaxations for Circuits and Graphs

PhD Thesis DSpace