Vahan Huroyan

I am an Assistant Professor at The Department of Mathematics and Statistics of Saint Louis University starting in August 2024

From 2023-2024, I worked as a machine learning researcher at YerevaNN research lab and Yerevan State University (YSU).

From 2018-2022 I was a Postdoctoral Research Associate at the Department of Mathematics of The University of Arizona. I was affiliated with the Tripods Research group, working with Professor Stephen Kobourov.

I received my Ph.D. in Mathematics from the Department of Mathematics of the University of Minnesota under the supervision of Professor Gilad Lerman.

You can find my CV [here] and my Google Scholar page [here].

• Solving Jigsaw Puzzles By the Graph Connection Laplacian
• Vahan Huroyan, Gilad Lerman, Hau-Tieng Wu
• SIAM Journal on Imaging Sciences, 13(4), 1717-1753, 2020
• [paper] [arxiv version]

• Multi-Perspective, Simultanequs Embedding
• I. Hossain, V. Huroyan, S. Kobourov, R. Navarrete
• IEEE Transactions on Visualization and Computer Graphics (TVCG), 2020
• [paper] [arxiv version]

• Same Stats, Different Graphs: Exploring the Space of Graphs in Terms of Graph Properties.
• Hang Chen, Utkarsh Soni, Yafeng Lu, Vahan Huroyan, Ross Maciejewski, Stephen Kobourov
• IEEE Transactions on Visualization and Computer Graphics (TVCG), 2019
• [paper] [arxiv version]

• Distributed Robust Subspace Recovery.
• Vahan Huroyan, Gilad Lerman
• SIAM Journal on Scientific Computing, 40(5), A3067-A3090, 2018
• [paper] [arxiv version]

• Browser-based Hyperbolic Visualization of Graphs,
• J. Miller, S. Kobourov, V. Huroyan
• 15th IEEE Pacific Visualization Symposium (PACIFICVIS), 2022.
• [paper] [arxiv version]

• Spherical Graph Drawing by Multidimensional Scaling,
• J.Miller, V. Huroyan, S. Kobourov
• 30th International Symposium on Graph Drawing and Network Visualization (GD), 2022

• Multi-Perspective, Simultanequs Embedding
• I. Hossain, V. Huroyan, S. Kobourov, R. Navarrete
• 26th IEEE Symposium on Information Visualization (INFOVIS) 2020
• [arxiv version]

• Crowd flow completion from partial spatial observations using kernel DMD
• Hassan Mansour, Mouhacine Benosman, Vahan Huroyan
• International Conference on Sampling Theory and Applications (SampTA) 2017
• [paper] [pdf]

• Koopman-operator Observer-based Estimation of Pedestrian Crowd Flows
• Mouhacine Benosman, Hassan Mansour, Vahan Huroyan
• World Congress of the International Federation of Automatic Control (IFAC) 2017
• [paper] [pdf]

• 2025 Spring
• STAT 3850 - Foundation of Statistics
[course webpage]

• 2024 Fall
• MATH 4800/5080 - Probability Theory
[course webpage]

• 2024 Fall
• STAT 3850 - Foundation of Statistics
[course webpage]

• 2022 Summer
• Math 313 - Introduction to Linear Algebra

• 2022 Spring
• CSc 445 - Introduction to Algorithms (Co-Instructor with Prof. Stephen Kobourov)

• 2021 Fall
• Math 574M - Statistical Machine Learning (Co-Instructor with Prof. Helen Hao Zhang)

• 2020 Fall
• Math 466 - Theory of Statistics
[course webpage]

• 2019 Fall
• Math 464 - Theory of Probability
[course webpage]

• 2019 Spring
• Math 310 - Applied Linear Algebra
[course webpage]

• 2018 Spring
• Math 3283W - Sequences, Series, and Foundations: Writing Intensive , Teaching Assistant
[course webpage]

• 2017 Fall
• Math 3283W - Sequences, Series, and Foundations: Writing Intensive , Teaching Assistant

• 2016 Spring
• Math 3283W - Sequences, Series, and Foundations: Writing Intensive , Teaching Assistant

• 2014 Summer
• Math 2243 - Linear Algebra and Di?erential Equations, Instructor

• 2013 Spring
• MATH 1272 - Calculus 2, Teaching Assistant

• 2012 Fall
• MATH 1271 - Calculus 1, Teaching Assistant