WELCOME!

I am Ali Mortazavi, a Ph.D. student at the Computer Science department at UVic focusing on online learning and its intersection with game theory under the supervision of Prof. Nishant Mehta.

Previously, I did my undergrad and master’s in the Computer Engineering department of Amirkabir University of Technology. I also did a summer research internship on online stochastic matching at Institute for Theoretical Computer Science group at Shanghai University of Finance and Economics (SUFE) under the supervision of Prof. Nick Gravin.

I am graduating in December 2026 and open to positions in industry and academia, starting 2027. Feel free to reach out!

Publications

No‑regret incentive‑compatible online learning under exact truthfulness with non‑myopic experts

Junpei Komiyama, Nishant Mehta, Ali Mortazavi
ACM conference on Economics and Computation (EC 2025), [arXiv]

On the price of exact truthfulness in incentive‑compatible online learning with bandit feedback: A regret lower bound for WSU‑UX

Ali Mortazavi, Junhao Lin, Nishant Mehta
AISTATS 2024, [arXiv]

Best‑case lower bounds in online learning

Cristóbal Guzmán, Nishant Mehta, Ali Mortazavi
NeurIPS 2021, [arXiv]