Dr Iyinoluwa Oyelade
About me
Iyinoluwa Moyosola Oyelade, Ph.D. is a multidisciplinary researcher and lecturer specializing in Artificial Intelligence and its applications, Computer Vision and Internet of Things (IoT), driven by a passion for sustainable and scalable technological solutions.
Iyinoluwa Oyelade, PhD is a Nigerian academic, researcher, and lecturer in Information Technology at the Federal University of Technology, Akure (FUTA). She holds a PhD in Computer Science with specialization in Artificial Intelligence ad its applications, Internet of Things (IoT) and Computer Vision. Her research focuses on applying AI and IoT to real-world problems, particularly in smart agriculture, Education, and healthcare systems.
She has published in reputable international journals and IEEE conferences, including Scopus-indexed outlets, and has presented her work at major global platforms such as PyCon US, ICTP Trieste, and IEEE conferences. Beyond research, she teaches core computing courses at both undergraduate and postgraduate levels and actively contributes to university administration and professional bodies such as the Computer Professionals of Nigeria, ISACA, and OWSD. Her work reflects a strong commitment to sustainable technology, capacity building, and impactful innovation in developing contexts.
Other Memberships/Affiliations
Degrees:
ii. Oyelade I. M., Boyinbode O. K. and Adewale O.S. (2023) “A Review of Existing Farmland Intrusion Detection Systems” International Journal of Computer Applications; 185(22), 41-46
iii. Iyinoluwa M. Oyelade, Olutayo K. Boyinbode, Olumide S. Adewale, Emmanuel O. Ibam, (2024) "Farmland Intrusion Detection using Internet of Things and Computer Vision Techniques", International Journal of Information Technology and Computer Science (IJITCS), 16(2), pp. 32-44. DOI:10.5815/ijitcs. 2024.02.03 (Scopus)
iv. Iyinoluwa M. Oyelade, Oluwadara O. Ola Obaado, Olutayo K. Boyinbode, "Light Fidelity (Li Fi) Based Patient Monitoring System", International Journal of Engineering and Manufacturing (IJEM), Vol.14, No.5, pp. 27 36, 2024. DOI:10.5815/ijem.2024.05.03
v. I. M. Oyelade, O. Ayomide Madamidola, O. K. Boyinbode and J. Olamatanmi Mebawondu, (2024) "An Improved Feature Extraction Approach for Convolutional Neural Networks Based Animal Intrusion Detection Models," 2024 IEEE 5th International Conference on Electro-Computing Technologies for Humanity (NIGERCON), Ado Ekiti, Nigeria, pp. 1-5, DOI: 10.1109/NIGERCON62786.2024.10926970.
vi. Olutayo Victor O., Boyinbode Olutayo K., and Oyelade Iyinoluwa M. (2025) “Implementation of Internet of Things (IoT) Library System in Nigerian Universities.” International Journal of Computer Applications; 186(72), 1-10
vii. Oyelade, I. M., Ugwu, C. C., Oladoja, I. P., Ugwu, T. A., Akinbo, R. S., Makinde, I. A., & Faluyi, O. B. (2025). An integrated Mask R-CNN and domain aware RAG-enabled LLM framework for livestock disease detection and care recommendation. International Journal of Computer Applications, 187(33), 25–36. https://doi.org/10.5120/ijca2025925602