CV
Basics
| Name | Ibrahim Said Ahmad |
| Label | Assistant Professor, University of Wisconsin-Stevens Point |
| ibrahimsaidahmad@outlook.com | |
| Url | https://isahmadbbr.github.io |
| Summary | Computer scientist and NLP researcher specializing in natural language processing for low-resource languages, computational social science, and cross-cultural AI. Co-founder of HausaNLP and Arewa Data Science, with 10+ years of experience in teaching, research, and interdisciplinary collaboration across Africa, Asia, Europe, and the Americas. Published 40+ peer-reviewed papers, several recognized with best paper and best resource paper awards, and secured over $800,000 in competitive research grants. |
Work
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2025.08 - Present Stevens Point, WI, USA
Assistant Professor, Department of Computing and New Media Technologies
University of Wisconsin-Stevens Point
Teaching, mentoring, and research in emotion-aware, culturally-informed AI.
- Co-leading WARAKA, an open annotation platform and playbook for African-language datasets, as Co-PI on the Masakhane African Languages Hub grant.
- Co-developed POLAR, a 23,000+ instance benchmark for multilingual, multicultural online polarization detection, and co-organized the SemEval-2026 shared task built on it.
- Contributed to PLACES, a participatory red-teaming study and dataset for text-to-image safety in the Global South, published at FAccT 2026.
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2023.07 - 2025.07 Portland, ME, USA
Postdoctoral Research Fellow, Institute for Experiential AI
Northeastern University
Research at the intersection of NLP and computational social science, focused on low-resource languages and cross-cultural AI.
- Co-developed BRIGHTER, a human-annotated emotion dataset for 28 languages (18 African); published at ACL 2025 (Best Resource Paper Award) with a companion SemEval 2025 shared task (Best Task Paper Award).
- Developed AfriHate, the first labelled hate speech dataset for 18 African languages from 6 countries.
- Studied cross-cultural emotion representation in LLMs; published at ACII 2024 (Best Paper Award).
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2020.01 - 2023.01 Kano, Nigeria
Senior Lecturer (U.S. equiv. Assistant Professor)
Bayero University Kano
Taught and researched AI, machine learning, and database systems; mentored graduate students.
- Developed NaijaSenti, the first large-scale annotated Twitter sentiment corpus for the four main Nigerian languages.
- Built and annotated a Twitter dataset on COVID-19 vaccination sentiment in Nigerian cyberspace.
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2014.01 - 2016.01 Kano, Nigeria
Assistant Lecturer
Bayero University Kano
Promoted to Lecturer II in 2017 while on PhD study fellowship.
Education
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2016.03 - 2020.04 Malaysia
PhD
Universiti Kebangsaan Malaysia
Dissertation: Purchase Intention Mining Approach for Movie Revenue Prediction
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2013.01 - 2015.01 Malaysia
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2006.01 - 2012.01 Nigeria
Awards
- 2026.07.07
Best Paper Award
9th Workshop on Event Extraction and Understanding, ACL 2026
POLAR: Detecting Multilingual, Multicultural and Multievent Online Polarization.
- 2026.07.07
- 2025.07.30
Best Resource Paper Award
ACL 2025
BRIGHTER: BRIdging the Gap in Human-Annotated Textual Emotion Recognition Datasets for 28 Languages.
- 2025.07.30
Best Task Paper Award
SemEval 2025
SemEval 2025 Task 11: Bridging the Gap in Text-Based Emotion Detection.
- 2024.10.18
Best Paper Award
12th International Conference on Affective Computing and Intelligent Interaction (ACII 2024)
Analyzing Cultural Representations of Emotions in LLMs Through Mixed Emotion Survey.
- 2024.01.01
- 2023.01.01
Best Paper Award
AfricaNLP Workshop 2023, Kigali, Rwanda
- 2023.01.01
International List of AI Solutions for Reaching the 17 SDGs
IRCAI Global Top 100 List
Publications
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2026 POLAR: A Benchmark for Multilingual, Multicultural, and Multi-Event Online Polarization
Findings of the Association for Computational Linguistics: ACL 2026
A benchmark of 23,000+ instances spanning 22 languages for detecting political, racial, religious, and gender-based polarization in online text.
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2026 Going PLACES: Participatory Localized Red Teaming for Text-to-Image Safety in the Global South
Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency (FAccT '26)
Community-centered red-teaming study of text-to-image model safety across Ghana, Nigeria, and India, producing a dataset of 26,000+ examples of model failures.
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2026 Beyond Majority Voting: Agreement-Based Clustering to Model Annotator Perspectives in Subjective NLP Tasks
Transactions of the Association for Computational Linguistics
Agreement-based clustering approach for modeling annotator perspectives across 40 datasets in 18 languages, evaluated on sentiment, emotion, and hate speech tasks.
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2025 AfriHate: A Multilingual Collection of Hate Speech and Abusive Language Datasets for African Languages
Proceedings of NAACL 2025
The first labelled hate speech dataset for 18 African languages from 6 countries, with baseline benchmarks.
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2025 BRIGHTER: BRIdging the Gap in Human-Annotated Textual Emotion Recognition Datasets for 28 Languages
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics
A large, high-quality human-annotated emotion dataset for 28 languages (18 African). Best Resource Paper Award.
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2024 Analyzing Cultural Representations of Emotions in LLMs Through Mixed Emotion Survey
2024 12th International Conference on Affective Computing and Intelligent Interaction (ACII)
Studied emotion representations of Western and East Asian cultures across five LLMs against a prior human study. Best Paper Award.
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2024 No Culture Left Behind: ArtELingo-28, a Benchmark of WikiArt with Captions in 28 Languages
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
200K emotion labels and affective captions in 25 languages on 2,000 images, benchmarking Vision-Language models for cross-lingual emotion transfer.
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2020 Movie Revenue Prediction Based on Purchase Intention Mining Using YouTube Trailer Reviews
Information Processing & Management
PhD dissertation research: box-office revenue prediction using a purchase intention lexicon mined from movie trailer reviews.
Languages
| English | |
| Fluent |
| Hausa | |
| Fluent |
| Malay | |
| Working proficiency |
| Arabic | |
| Working proficiency |
Skills
| Natural Language Processing | |
| Low-resource language processing | |
| Sentiment analysis | |
| Hate speech detection | |
| Emotion analysis |
| Machine Learning | |
| Deep learning | |
| Transfer learning | |
| Predictive modeling | |
| Large language models |
| Programming & Tools | |
| Python, PyTorch, TensorFlow, Pandas, NumPy | |
| Git, Google Cloud, Jupyter Notebooks, Hugging Face Transformers |
| Research & Academic | |
| Experimental design and implementation | |
| Grant writing and management | |
| Cross-cultural collaborative research |