Hossein Dabirian

Ph.D. Candidate, Electrical Engineering & Computer Science

I am a Ph.D. candidate at the University of Michigan, working on applied probability, queueing theory, stochastic networks, and mechanism design. My research has applications in service operations and on-demand platforms, with a recent focus on strategic queueing. I am advised by Prof. Saif Benjaafar and Prof. Brian Denton.

dabirian@umich.edu Google Scholar LinkedIn

Publications & Working Papers

Naor Revisited: Two-Sided Queues with Strategic Agents

Philipp Afeche, Mustafa Akan, Saif Benjaafar, Hossein Dabirian, Brian Denton (alphabetical order)

Submitted

Connectivity of a Family of Bilateral Agreement Random Graphs

Hossein Dabirian, Vijay Subramanian

Journal of Applied Probability

Published

Assignment with Cardinal Valuations: Incentive Compatibility and Welfare Bounds

Tilman Börgers, Hossein Dabirian, Vijay Subramanian (alphabetical order)

Working Paper

The Computational-Statistical Divide in Linear Bandits: Unraveling the Gap

Hossein Dabirian, Nima Hamidi, Mohsen Bayati

Working Paper

Automatic Classification of Deformable Shapes

Hossein Dabirian, Radmir Sultamuratov, Andreas Mang, Robert Azencott

Journal of Mathematical Imaging and Vision

Published

AnguLoc: Concurrent Angle of Arrival Estimation for Indoor Localization with UWB Radios

M. Heydariaan, H. Dabirian, O. Gnawali

IEEE DCOSS 2020

Published

A Lower Bound of the Energy of Non-Singular Graphs in Terms of Average Degree

Saieed Akbari, Hossein Dabirian, S. Mahmood Ghasemi (alphabetical order)

Preprint

Education

2021 – Present

Ph.D. in Electrical & Computer Engineering

University of Michigan, Ann Arbor

⭐ Departmental Fellowship

2014 – 2016

M.Sc. in Pure Mathematics

Paris Diderot University, France

⭐ PGSM Scholarship

2009 – 2013

B.Sc. in Mathematics (Minor in Physics)

Sharif University of Technology, Tehran

Awards

2021

Departmental Fellowship, University of Michigan ECE

2014

PGSM Scholarship for Master's in Mathematics, Paris

2009

🥈 Silver Medal, International Mathematical Olympiad (IMO), Bremen

2008

🥇 Gold Medal & 1st Rank, National Mathematical Olympiad, Iran

Experience

Sep 2021 – Present

Research Assistant

University of Michigan

Summer 2022, 2023

Machine Learning Intern

Roku Inc., San Jose, CA

Popularity-score ranking for genre rows. Multi-armed bandit algorithms for personalized parameter tuning.

Jan 2017 – Aug 2019

Quantitative Researcher

Tosan Ofogh Hezareh, Tehran

Developed the first algorithmic trading system in Iran for stock and bond portfolios.

Sep 2013 – Jul 2014

Head of Iran's IMO Training Camp

Young Scholars Club, Tehran

Trained and prepared Iran's team for the International Mathematical Olympiad.

Teaching

EECS 301 – Probabilistic Methods in Engineering

Teaching Assistant · Winter 2025 · University of Michigan

EECS 501 – Probability and Random Processes

Teaching Assistant · Winter 2024 · University of Michigan