Radin Hamidi Rad

Postdoctoral Researcher at University of Toronto

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Welcome to my personal webpage! I am currently a Postdoctoral Researcher at the University of Toronto, where I explore advanced topics in adversarial information retrieval models. My research focuses on understanding vulnerabilities and developing robust retrieval systems capable of resisting adversarial manipulation.

Research Interests

Adversarial Machine Learning
Information Retrieval and Search Systems
Graph Representation Learning
Robustness and Security in AI

news

Jun 01, 2025 Excited to share that I’ll be teaching INF1343 – Data Modeling and Database Design in Fall 2025 at the Faculty of Information, University of Toronto (iSchool).
May 01, 2025 Honored to be awarded a $100,000 research grant from the Canadian Artificial Intelligence Safety Institute (CAISI) for 2025–2026. This funding supports our work on advancing safe and responsible AI systems. Grateful for the support and looking forward to impactful progress! 🚀
Apr 04, 2025 Our paper “ROKSANA: An Open-Source Toolkit for Robust Graph-Based Keyword Search” has been accepted at SIGIR 2025. 🍾 This work introduces a new toolkit to support robust keyword search in graphs and attacks on it. See you in Padua, Italy!
Feb 01, 2025 Excited to share that I’ll be teaching INF2204 – Digital Connectivity for Information Systems: Foundation, Innovation and Challenges in Winter 2025 at the University of Toronto’s Faculty of Information (iSchool).
Jan 01, 2025 I’m excited to share that I’ve started a Postdoctoral Fellowship at the University of Toronto, where I’ll be continuing my research in Adversarial Information Retrieval. Looking forward to new collaborations and challenges in this next chapter!

selected publications

  1. Robust query performance prediction for dense retrievers via adaptive disturbance generation
    Abbas Saleminezhad, Negar Arabzadeh, Radin Hamidi Rad, Soosan Beheshti, and Ebrahim Bagheri
    Mach. Learn., 2025
    DOI
  2. A Variational Neural Architecture for Skill-based Team Formation
    Radin Hamidi Rad, Hossein Fani, Ebrahim Bagheri, Mehdi Kargar, Divesh Srivastava, and Jaroslaw Szlichta
    ACM Trans. Inf. Syst., 2024
    DOI
  3. Learning heterogeneous subgraph representations for team discovery
    Radin Hamidi Rad, Hoang Nguyen, Feras N. Al-Obeidat, Ebrahim Bagheri, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta, and 1 more author
    Inf. Retr. J., 2023
    DOI
  4. DyHNet: Learning dynamic heterogeneous network representations
    Hoang Nguyen, Radin Hamidi Rad, Fattane Zarrinkalam, and Ebrahim Bagheri
    Inf. Sci., 2023
    DOI
  5. Retrieving Skill-Based Teams from Collaboration Networks
    Radin Hamidi Rad, Ebrahim Bagheri, Mehdi Kargar, Divesh Srivastava, and Jaroslaw Szlichta
    In SIGIR ’21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021, 2021
    DOI
  6. Learning to Form Skill-based Teams of Experts
    Radin Hamidi Rad, Hossein Fani, Mehdi Kargar, Jaroslaw Szlichta, and Ebrahim Bagheri
    In CIKM ’20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020, 2020
    DOI