TITLE (PROF/DR/): DR.

NAME: VICTOR ODUMUYIWA

POSITION: ASSOCIATE PROFESSOR                                          SPECIALISATION: Artificial Intelligence, Natural Language Processing (NLP)

EDUCATION/TRAINING (Begin with Bachelor’s degree or other initial professional education, such as nursing, include postdoctoral training and residency training if applicable. Add/delete rows as necessary.)

Personal Statement

I am a digital innovator and researcher who combines research and technical skills in driving digital innovations for enhancing digital economy and promoting social goods. I am a Massachussets Institute of Technology (MIT) Empowering the Teacher (ETT) fellow and a seasoned academic with a strong passion to raise the bar of education design and delivery in Africa. I develop responsible Artificial Intelligence for Natural Language Processing with applications in sentiment analysis, recommender systems, log mining, public health, cyber security, and education

Positions, Scientific Appointments, and Honours

• Pioneer Ag. Director, NITDA IT Hub (NITHUB), University of Lagos (March 2021 till date)
• Director Centre for Information Technology and Systems (CITS) (August 2018 to January 2021)
• Innovation and Industry Partnership Lead, ARUA-GUILD Cluster of Research Excellence in AI, DataScience and Computational Thinking (CoRE-AI)
• Lead, Machine Intelligence Research Group (MIRG), Department of Computer Science, University of Lagos
• Member of the UNDP Nigeria AI Reference Group
• President, West African Chapter of the International Society for Knowledge Organization (ISKO-WA) (Aug 2019 – July 2023).

Selected Most Recent Publications /Contributions to Knowledge 

1. Odumuyiwa, V. T., Shoyemi, O. O., & Fagoroye, A. E. (2024). Sentiment Analysis of Low-Resource Yorùbá Tweets Using Fine-Tuned Bert Models. University of Ibadan Journal of Science and Logics in ICT Research, 12(1), 110-112.
2. Odumuyiwa V.T. & Aderemi D.O (2024). Optimizing Fake News Detection in Resource-Constrained Devices Using Transformer Distillation. FUOYE Journal of Engineering and Technology (FUOYEJET), 9(4), 600-608. https://dx.doi.org/10.4314/fuoyejet.v9i4.6
3. Adams, R., Alayande, A., Brey, Z., Browning, B., Gastrow, M., Kponyo, J.J., Mathew, D., Nkosi, M., Nunoo-Mensah, H., Nyakundi, D. and Odumuyiwa, V., (2023). A new research agenda for African generative AI. Nat Hum Behav7, 1839–1841 (2023). https://doi.org/10.1038/s41562-023-01735-1
4. Kolade, O., Odumuyiwa, V., Abolfathi, S., Schröder, P., Wakunuma, K., Akanmu, I., Whitehead, T., Tijani, B. and Oyinlola, M., (2022). Technology acceptance and readiness of stakeholders for transitioning to a circular plastic economy in Africa. Technological Forecasting and Social Change, 183, p.121954.
5. Igwilo C.M. and Odumuyiwa (2022). Comparative Analysis of Ensemble Learning and Non-Ensemble Machine Learning Algorithms for Phishing URL Detection, FUOYE Journal of Engineering and Technology (FUOYEJET), 7(3), 305-312. http://doi.org/10.46792/fuoyejet.v7i3.807
6. Osuntoki, S., Odumuyiwa, V., & Sennaike, O. (2022). Understanding Document Thematic Structure: A Systematic Review of Topic Modeling Algorithms. Journal of Information and Organizational Sciences, 46(2), 305-322.
7. Odumuyiwa, V., & Alabi, R. (2021). DDOS Detection on Internet of Things Using Unsupervised Algorithms. Journal of Cyber Security and Mobility, 569-592.
8. Odumuyiwa, V., and Chibueze, A. (2020). “Automatic Detection of HTTP Injection Attacks using Convolutional Neural Network and Deep Neural Network”. Journal of Cyber Security and Mobility, 489-514.                                                                                          Collaborators/ Networks (International inclusive)

1. Muyiwa Oyinlola, De Montfort University, United Kingdom
2. Vukosi Marivate, University of Pretoria, South Africa                                                                 
3. Oluwaseun Kolade, Sheffield Hallam University, United Kingdom
4. Olubayo Adekanmbi, Data Science Nigeria
5. Uyi Stewart, Mastercard Center for Inclusive Growth and Sustainability, USA