Ibrahim Said Ahmad, PhD

Ibrahim Said Ahmad, PhD

Postdoctoral Research Fellow

Northeastern University

Biography

I am currently a postdoctoral fellow at the Institute for Experiential AI, Northeastern University. I completed my Ph.D from Universiti Kebangsaan Malaysia, Malaysia in 2020.

My research interests lie in the areas of Data Science which includes areas of Natural Language Processing, Machine Learning, and Deep Learning.

I am a co-founder of the HausaNLP (www.hausanlp.org) research group, where I focus on research related to NLP in African (low resource) languages. I am a beneficiaries of over 10 research grants across diverse areas of NLP in low resource languages.

Interests
  • Natural Langauge Processing
  • Low-resource langauges
  • Data Science
Education
  • PhD in Computer Science, 2020

    Universiti Kebangsaan Malaysia

  • MS in Information Technology, 2015

    The University of Nottingham

  • BS in Computer Science, 2011

    Bayero University Kano

Skills

Technical
Python
Large Language Models
Data Science
Hobbies
Soccer
Traveling
Reading

Experience

 
 
 
 
 
Postdoctoral Research Fellow
Northeastern University
July 2023 – Present Portland, ME
Research on Natural Langauge Processing
 
 
 
 
 
Lecturer
Bayero University Kano
December 2015 – Present Kano, Nigeria
Teaching and Research.

Recent Publications

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(2023). Cross-lingual Open-Retrieval Question Answering for African Languages. Findings of the Association for Computational Linguistics: EMNLP 2023.

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(2023). HausaNLP at SemEval-2023 Task 10: Transfer Learning, Synthetic Data and Side-information for Multi-level Sexism Classification. Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023).

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(2023). HaVQA: A Dataset for Visual Question Answering and Multimodal Research in Hausa Language. Findings of the Association for Computational Linguistics: ACL 2023.

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(2023). SemEval-2023 Task 12: Sentiment Analysis for African Languages (AfriSenti-SemEval). Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023).

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(2022). Hausa Visual Genome: A Dataset for Multi-Modal English to Hausa Machine Translation. Proceedings of the Thirteenth Language Resources and Evaluation Conference.

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