Ibrahim Said Ahmad, PhD

University of Wisconsin-Stevens Point. Bayero University Kano. MasaKhane. HausaNLP.

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UW-Stevens Point

2100 Main St

Stevens Point, WI 54481

I am an incoming Assistant Professor in the Department of Computing and New Media Technologies at UW–Stevens Point. From 2023 to 2025, I was a Postdoctoral Research Fellow at Northeastern University’s Institute for Experiential AI, where I led research at the intersection of natural language processing (NLP) and computational social science. My work focused on addressing linguistic and cultural disparities in AI systems, particularly for low-resource languages.

During my postdoc, I developed foundational resources, including AfriHate and ArtElingo-28, and worked on the cultural alignment of large language models (LLMs). I also co-organized SemEval shared tasks.

I co-founded HausaNLP and Arewa Data Science, initiatives that enable me to collaborate with researchers and practitioners to advance NLP and data science for low-resource languages.

From 2014 to 2023, I served as a lecturer at Bayero University Kano, where I taught courses in artificial intelligence, machine learning, and database systems, and mentored graduate students on research projects. During my PhD at Universiti Kebangsaan Malaysia, I proposed predictive models for movie revenue prediction using social media data.

My work has been supported by over $400,000 in competitive grants from Google Research, Lacuna Fund, and Oracle. One of my papers was also selected as the Best Paper in the ACII 2025 conference, and another received Honorable Mention for Best Paper in SemEval 2024, as part of Shared Task I co-organized.

news

Jul 30, 2025 BRIGHTER won the best resource paper award at ACL2025. SemEval-2025 Task 11 won the SemEval Best Task Award co-located with ACL2025.
Apr 07, 2025 Two SemEval 2025 shared tasks were accepted. The first one is on the SemEval-2025 Task-3 — Mu-SHROOM and the second one is on SemEval-2025 Task 2: Entity-Aware Fine-tuning.
Oct 11, 2024 Our paper was selected as best paper in ACII 2025.

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