Scholar
Lukman Jibril Aliyu
Google Scholar ID: Ter50YIAAAAJ
Zipline, Nigeria
Citations & Impact
Citations
17
H-index
3
i10-index
0
Publications
8
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- - October 2025: Honored by DeepLearning.AI for contributing to the testing of Andrew Ng’s new Agentic AI Course.
- - August 2025: Presented a paper at the Deep Learning Indaba 2025, in Kigali, Rwanda.
- - July 2025: First-author paper titled 'Evaluating Deep Learning Models for African Wildlife Image Classification: From DenseNet to Vision Transformers' accepted by Deep Learning Indaba 2025.
- - April 2025: Paper titled 'Who Wrote This? Identifying Machine vs Human-Generated Text in Hausa' accepted by AfricaNLP 2025.
- - March 2025: Recognized as best tester for the first course of the DeepLearning.AI Data Analytics Professional Certificate and selected as a course mentor.
- - February 2025: Published a paper titled 'Leveraging AI to Optimize Vaccines Supply Chain and Logistics in Africa: Opportunities and Challenges'.
- - December 2024: Published a paper titled 'Enhancing primary healthcare delivery in Nigeria through the adoption of advanced technologies'.
- - September 2024: Won 3rd place in the Data Science for Health Ideathon at the Deep Learning Indaba 2024.
- - November 2023: Presented research paper: Analyzing COVID-19 Vaccination Sentiments in Nigerian Cyberspace: Insights from a Manually Annotated Twitter Dataset, at ICCAIT.
- - May 2023: Came second place in the Cohere AI Hack for developing a language alignment tool.
Research Experience
- From improving medical supply chains and logistics, to modeling disease dynamics, to applying biostatistical methods for personalized interventions, his focus remains on creating impactful, scalable solutions for real-world health challenges.
Background
- A pharmacist dedicated to advancing Biomedical Informatics and Artificial Intelligence (AI) to improve healthcare outcomes. His work lies at the intersection of healthcare, technology, and data, aiming to develop innovative solutions that address critical challenges in healthcare delivery, particularly in underserved areas. Research spans Global Health, Epidemiology, and Biostatistics, with a strong focus on data-driven innovations. Notably, his work in NLP includes developing language technologies for underrepresented languages like Hausa and leveraging AI to improve clinical text processing and understanding.
Miscellany
- Interests include integrating AI into professional practice, as documented in one of his blog articles.
Co-authors