I’m an Assistant Professor at the Department of Computer Science at Brock University. My broad interests are in Artificial Intelligence (AI) and Natural Language Processing (NLP) with a recent primary focus on addressing the generalizability, interpretability, and ethical implications of AI Models. Through this, I’m aiming to contribute to the responsible and efficient development of AI technologies in the future.
PhD in Computer Science, 2021
McGill University/Mila, Canada
MSc in Computer Science, 2016
McGill University, Canada
BSc in Joint Physics & Computer Science, 2014
McGill University, Canada
2024:
I’ve been invited to give a talk at the FirstOntario Performing Arts Centre, titled In Search of Digital Truth: How Large Language Models are Shaping Our Reality (And How We are Shaping Theirs!), Friday, November 1, at 7 PM. [Details + Buy your tickets!]
Honored to receive the 2024 Faculty of Mathematics and Science Excellence in Teaching Award (June).
3 out of 3 submitted papers accepted at the main conference at The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024, August 11-16). Massive congratulations to all collaborators, of which many were undergraduates and first year MSc’s! Stay tuned for the paper links (May).
Our paper “EvoGrad: An open-source platform for Winograd Schema Challenge instances” accepted at The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024, May 20-25). [ArXiv] (May)
Our paper “WSC+: Enhancing The Winograd Schema Challenge Using Tree-of-Experts” accepted as an Oral Presentation at The 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL2024, March 17-22). [ACL-Anthology] [ArXiv] (March)
Excited to give a talk at the Brock Faculty of Math and Science’s Anthropocene Research Colloquium Series on Friday, March 8: “Large Language Models: Society’s Silent Mirrors” (March).
2023:
Our paper “Debiasing should be Good and Bad: Measuring the Consistency of Debiasing Techniques in Language Models” published at The Findings of ACL 2023. [ACL-Anthology] [ArXiv] [Oral Presentation] [News Article] (January)
Published book chapter “Natural Language Processing: Current Methods and Challenges” in Engineering Mathematics and Artificial Intelligence: Foundations, Methods, and Applications. [SpringerLink] [Amazon]
Awarded the 2023 New Frontiers in Research Fund (NFRF) Exploration Grant ($200,000 two-year support). [Brock News Article] (April)
Invited to speak about my research at the SKEMA AI School for Business, during their AI integration seminar (August).
Ali Emami, Assistant Professor of Computer Science
Robert Morabito (2022-2023, Undergraduate; 2024-Present, MSc)
Kaige Chen (Fall 2024 – Present)
Kazi Nishat Anwar (Fall 2024 – Present)
Nikta Gohari Sadr (Fall 2023 – Present)
Sarfaroz Yunusov (Fall 2023 – Present)
2024:
In Search of Digital Truth: How Large Language Models are Shaping Our Reality (And How We are Shaping Theirs!). Feature Presentation, First Ontario Performing Arts Centre, November. [Details + Buy your tickets!]
Large Language Models: Society’s Silent Mirrors. Brock Faculty of Math and Science’s Anthropocene Research Colloquium Series, March. [Details]
2023:
2025:
Introduction to Natural Language Processing (COSC 4P84). An advanced course covering algorithms and recent advances in NLP. New course introduced by me. (Fall)
Essentials of Artificial Intelligence (COSC 1P71). Overview of AI principles, ML models, and their real-world applications. New course introduced by me. (Winter)