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Email: rezvan@chalmers.se

Reza Rezvan (رضا رضوان)

I'm an incoming PhD student at the Data Science and AI department at Chalmers University of Technology My current interests are in (multi-agent) reinforcement learning and sequential decision-making, especially in settings concerning uncertainty, partial observability and risk.

Previously, I completed my Master's degree in Data Science and AI and my Bachelor's degree in Computer Science and Engineering at Chalmers University of Technology, in 2024 and 2026, respectively.

I have also spent summers interning in industry at Ericsson and Huawei (x2) in R&D roles, working on projects related to 5G and network optimization.

News

  • May 25, 2026

    I have successfully defended my Master’s thesis “A Deeper Understanding of Active Feature Acquisition” 🎉!.

  • May 17, 2026

    “AFABench: A Generic Framework for Benchmarking Active Feature Acquisition” got accepted to KDD 2026 🎉!

  • Feb 02, 2026

    “Causality$—\Delta$: Jacobian-Based Dependency Analysis in Flow Matching Models” is now available as a preprint on arXiv 🎉!

  • Aug 20, 2025

    “AFABench: A Generic Framework for Benchmarking Active Feature Acquisition” is now available as a preprint on arXiv 🎉!

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