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Hasan Heydari

Department of Informatics, University of Lisbon Office: 6.3.39, C6, Faculty of Sciences hheydari at ciencias.ulisboa.pt

I'm an assistant professor at the Department of Informatics, University of Lisbon, Lisbon, Portugal. I'm also a member of LaSIGE (Large Scale Informatics Systems Laboratory) group. I completed my PhD in Computer Science at ENAC, University of Toulouse, France (2022), and my Master's in Algorithms and Computation at the University of Tehran, Iran (2017).

Research

I'm generally interested in distributed computing and systems. I'm currently focusing on a research topic: Efficient consensus and blockchain protocols.

Selected Publications
  • R Vassantlal, H Heydari, B. Ferreira, A Bessani, MVP-ORAM: a Wait-free Concurrent ORAM for Confidential BFT Storage, NDSS 2026
  • T Antão, H Heydari, A Bessani, Towards a Simple and Practical Blockchain Consensus Protocol, EDCC 2025 (Distinguished paper)
  • D Avelãs, H Heydari, E Alchieri, T Distler, A Bessani, Probabilistic Byzantine Fault Tolerance, PODC 2024
  • H Heydari, R Vassantlal, A Bessani, Knowledge Connectivity Requirements for Solving BFT Consensus with Unknown Participants and Fault Threshold, ICDCS 2024
  • R Vassantlal, H Heydari, A Bessani, On the Minimal Knowledge Required for Solving Stellar Consensus, ICDCS 2023
  • H Heydari, G Silvestre, A Bessani, How Hard is Asynchronous Weight Reassignment?, ICDCS 2023
Projects
  • APOSTLE (new Approaches for Secure Distributed Data Processing and Access)

Teaching

  • Operating Systems (2nd semester, 2025-26)
  • Distributed Systems (1st semester, 2025-26)
  • Distributed Applications (2nd semester, 2024-25)

Students

  • Current students
    • Henrique Vale (2025-2026) - Thesis: "Probabilistic DAG-Based BFT Protocols"
    • Miguel Pena (2025-2026) - Thesis: "Attacks to Gossip Machine Learning"
    • Diogo Sargaço (2025-2026) - Thesis: "OSINT and Phishing Implications"
    • Daniel Nunes (2025-2026) - Thesis: "Passive Application and System Detection for Vulnerability Inference"
  • Past students