Publications | Mustapha Abdullahi

2025

SAA’25

EARL: Efficient Agentic Reinforcement Learning Systems for Large Language Models

Zheyue Tan, Mustapha Abdullahi, Tuo Shi, and 5 more authors

Workshop on Systems for Agentic AI (SAA), in conjunction with the ACM Symposium on Operating Systems Principles (SOSP), Oct 2025

Bib HTML

@article{tan2025earl,
  title = {EARL: Efficient Agentic Reinforcement Learning Systems for Large Language Models},
  author = {Tan, Zheyue and Abdullahi, Mustapha and Shi, Tuo and Yuan, Huining and Xu, Zelai and Yu, Chao and Li, Boxun and Zhao, Bo},
  journal = {Workshop on Systems for Agentic AI (SAA), in conjunction with the ACM Symposium on Operating Systems Principles (SOSP)},
  month = oct,
  year = {2025},
  address = {Seoul, Korea},
}

DLI’25

Evaluating Deep Learning Models for African Wildlife Image Classification: From DenseNet to Vision Transformers

Lukman Jibril Aliyu, Umar Sani Muhammad, Bilqisu Ismail, and 5 more authors

Deep Learning Indaba, Jul 2025

Oral Bib HTML

Oral presentation, one of the top 7 papers; 19/100 accepted

@article{aliyu2025evaluating,
  title = {Evaluating Deep Learning Models for African Wildlife Image Classification: From DenseNet to Vision Transformers},
  author = {Aliyu, Lukman Jibril and Muhammad, Umar Sani and Ismail, Bilqisu and Muhammad, Nasiru and Wakili, Almustapha A and Yimam, Seid Muhie and Muhammad, Shamsuddeen Hassan and Abdullahi, Mustapha},
  journal = {Deep Learning Indaba},
  month = jul,
  year = {2025},
}

2024

JAIMLD’24

Beyond traditional assessment: Exploring the impact of large language models on grading practices

Oluwole Fagbohun, Nwaamaka Pearl Iduwe, Mustapha Abdullahi, and 2 more authors

Journal of Artificial Intelligence, Machine Learning and Data Science, Feb 2024

Bib HTML

@article{fagbohun2024beyond,
  title = {Beyond traditional assessment: Exploring the impact of large language models on grading practices},
  author = {Fagbohun, Oluwole and Iduwe, Nwaamaka Pearl and Abdullahi, Mustapha and Ifaturoti, Adeseye and Nwanna, OM},
  journal = {Journal of Artificial Intelligence, Machine Learning and Data Science},
  volume = {2},
  number = {1},
  pages = {1--8},
  month = feb,
  year = {2024},
}

2021

ABUCOMP’21
An Artificial Intelligence of Things (AIOT) based Assistive Smart Glass for the Visually Impaired [POSTER]

Mustapha Abdullahi

Undergraduate Project Exhibition, Department of Computer Engineering, Ahmadu Bello University, Zaria., Oct 2021

Best Project 🏆 Abs Bib PDF

2021 best undergraduate project in the department of Computer Engineering, ABU, Zaria

The blind and visually impaired constantly face challenges interacting with the society and performing common tasks. This project aims to develop a functional and cost-effective assistive device to aid the blind and visually impaired improve their quality of life as well as independence. The AIOT Smart Glass (SG) consists of a camera module to capture images and feeds them to the raspberry pi for analysis such as screen description, object recognition, reading printed text, etc. The AIOT smart glass is controlled easily using the Respeaker 2-Mics Pi Hat for voice commands or button taps which is directly integrated with a conversational chatbot for seamless usage. It has an additional feature of facial recognition; assisting users to recognize the faces of their families and other close members. The output of the system is passed as audio response through an earphone to the user. Results shows that the AIOT smart glass take an average of about 5 secs to responds to query in the presence of good internet availability.
@article{mustapha_iglass, title = {An Artificial Intelligence of Things (AIOT) based Assistive Smart Glass for the Visually Impaired [POSTER]}, author = {Abdullahi, Mustapha}, journal = {Undergraduate Project Exhibition, Department of Computer Engineering, Ahmadu Bello University, Zaria.}, numpages = {1}, year = {2021}, month = oct, url = {}, dimensions = {true}, }