Scholar
Shamsuddeen Hassan Muhammad
Google Scholar ID: Ne1nt4gAAAAJ
Bayero University, Kano, & Google DeepMind Academic Fellow at Imperial College London
Citations & Impact
Citations
3,909
H-index
19
i10-index
30
Publications
20
Co-authors
23
list available
Publications
Resume (English only)
Academic Achievements
- Published in top venues such as ACL, EMNLP, NAACL, ICLR, and NeurIPS. Received several best paper awards, including Best Resource Paper at ACL 2025, Best Task Award at SemEval 2025, Outstanding Paper at NAACL 2025, and more. Served as Area Chair for ACL, NAACL, and EMNLP.
Research Experience
- Google DeepMind Academic Fellow, Advanced Research Fellow at Imperial College London, Assistant Professor (Senior Lecturer) at the Faculty of Computing, Bayero University, Kano, Nigeria, and Visiting Professor at the African Institute of Mathematical Sciences in Cameroon and South Africa, as well as at York St John University. Research projects include NLP for low-resource African languages.
Education
- PhD from the University of Porto, Portugal, supervised by Professor Pavel Brazdil and Professor Alipio Jorge. MS in Computer Science from the University of Manchester, UK. BSc in Computer Science from Bayero University, Kano, Nigeria.
Background
- Google DeepMind Academic Fellow and Advanced Research Fellow at Imperial College London. Also serves as an Assistant Professor (Senior Lecturer) at the Faculty of Computing, Bayero University, Kano, Nigeria, and as a Visiting Professor at the African Institute of Mathematical Sciences in Cameroon and South Africa, as well as at York St John University. Research focuses on Natural Language Processing (NLP) for low-resource African languages, aiming to bridge the gap in the need for equitable language technologies in underserved communities.
Miscellany
- Passionate about diversity and inclusion. Co-founded HausaNLP, a research group advancing research and development in the Hausa language. Founded Arewa Data Science Academy, which provides free data science and machine learning training to underserved students.
