Ebrahim Bagheri
Appointment
Solution Network Co-Director
Canadian AI Safety Institute Research Program
Safeguarding Courts from Synthetic AI Content
About
Ebrahim Bagheri’s research lies at the intersection of information retrieval, natural language processing, and responsible AI. He develops computational methods to extract, represent, and generate knowledge from large, complex text corpora. A central focus of his work is retrieval-augmented generation, which couples large language models with knowledge sources to improve their factuality, interpretability, and robustness.
He also designs evaluation frameworks to assess fairness, bias, and reliability in generative AI systems, with applications in scientific discovery, social media analytics, and automated reasoning.
Ultimately, Bagheri’s research emphasizes transparency and accountability. He advances models and tools that provide interpretable explanations to support trustworthy decision-making in high-stakes contexts.
Awards
- Outstanding Reviewer Recognition, Canadian Institutes of Health Research (CIHR), 2025.
- Outstanding Associate Editor of the Year Award, IEEE Transactions on Network Science and Engineering, 2023.
- Sarwan Sahota Distinguished Scholar Award, Toronto Metropolitan University, 2022.
- NSERC Synergy Award for Innovation, Natural Sciences and Engineering Research Council (NSERC), 2019.
- Engineering Medal for Young Engineer, Professional Engineers Ontario, 2016.
Relevant Publications
- Amin Bigdeli, Sajad Ebrahimi, Negar Arabzadeh, Sara Salamat, Shirin SeyedSalehi, Maryam Khodabakhsh, Fattane Zarrinkalam, E. Bagheri, Estimating Query Performance Using Neural Query Space Proximity, ACM Transactions on Intelligent Systems and Technology, 2025.
- Radin Hamidi Rad, E. Bagheri, Mehdi Kargar, Divesh Srivastava, and Jarek Szlichta, Robust Neural Model for Searching over Incomplete Graphs, ACM Transactions on Intelligent Systems and Technology, 2025.
- Shirin Seyedsalehi, Amin Bigdeli, Negar Arabzadeh, Batool AlMousawi, Zack Marshall, Morteza Zihayat, E. Bagheri, Understanding and Mitigating Gender Bias in Information Retrieval Systems, Found. Trends Inf. Retr. 2025.
- Radin Hamidi Rad, Hossein Fani, E. Bagheri, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta (2023), “A Variational Neural Architecture for Skill-based Team Formation”, ACM Transactions on Information Systems 42(1): 1-28.
- Amin Mirlohi, Jalehsadat Mahdavimoghaddam, Jelena Jovanovic, Feras N. Al-Obeidat, Mehdi Khani, Ali A. Ghorbani, E. Bagheri (2022), “Social Alignment Contagion in Online Social Networks”, IEEE Transactions on Computational Social Systems.