Abolfazl Soltani | Sharif University of Technology

About Me

I have completed my B.Sc. in Computer Engineering from Sharif University of Technology and have been accepted to pursue a Ph.D. in the Theory Group at the Department of Computer Science, University of Toronto (deferred due to visa processing). My research interests lie in designing algorithms, graph theory, and optimizations.

News

[Nov. 2025] Our paper “A Switching Framework for Online Interval Scheduling with Predictions” accepted to AAAI 2026.
[May. 2025] Joined Snapp! as a software engineer, working on Map services.
[Apr. 2025] Accepted to pursue a Ph.D. in the Theory Group at the Department of Computer Science, University of Toronto (deferred due to visa processing).
[Sep. 2024] Completed an internship at the Max-Planck Institute for Informatics in Germany, working on two different projects under the supervision of Prof. Andreas Karrenbauer and Golnoosh Shahkarami.
[Sep. 2023] Completed an internship at the Hong Kong University of Science and Technology, focusing on parameterized algorithms under the supervision of Prof. Amir Kafshdar Goharshady.
[Jul. 2022] Joined Sotoon as a software engineer.

Publications

AAAI 2026

A Switching Framework for Online Interval Scheduling with Predictions

A Antoniadis, A Shahheidar, G Shahkarami, A Soltani

AAAI Conference on Artificial Intelligence, 2026

PDF

Awards & Honors

[2022] 50th Place, ICPC World Finals
[2020] 🥇 1st Place, ICPC West Asia Regional Contest
[2020] 🥈 Silver Medal, International Olympiad in Informatics (IOI)
[2020] 🥇 Gold Medal, Asia-Pacific Informatics Olympiad (APIO)
[2019] 🥇 National Gold Medal, Iranian National Olympiad in Informatics
[2019] 🥈 Silver Medal, Asia-Pacific Informatics Olympiad (APIO)
[2018] 🥈 National Silver Medal, Iranian National Olympiad in Informatics

Projects

Telegram Auction Bot

Go, Telegram Bot API, Concurrent Programming, Game Theory

A sophisticated Telegram bot implementing multiple auction mechanisms (Reverse, Dutch Reverse, and Sealed-Bid auctions) with real-time bidding, concurrent bid handling, and comprehensive logging. Developed for Algorithmic Game Theory course to help students explore auction mechanisms and bidding strategies through interactive simulations.

GitHub