Temitayo FAMUTIMI

Assistant Lecturer

college of Computing and Communication STUDIES (COCCS)

Computer Science Programme

An assistant lecturer in Computer Science Programme, College of Computing and Communication Studies, Bowen Univiersity, Iwo.

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Education

• Ph.D. in view Computer Science Redeemers University, Ede.
• M.Tech Computer Science Federal University of Technology, Akure 
• B.Sc. Computer Science Bowen University, Iwo.

Research

A Researcher whose interests are in Health Informatics and Machine Learning. This involves application of information technology to healthcare, which includes managing and analyzing health data, developing health information systems, and using technology to improve healthcare delivery. Also, developing machine learning algorithms and techniques, such as deep learning, reinforcement learning, and natural language processing that can be applied to tasks like image recognition, natural language understanding, and anomaly detection in healthcare data.

Institutional Service

• Project Supervisor
• Level Adviser
• GST Lecturer

Selected Publications

1. Emuoyibofahre O. N, Meinel, C., Famutimi R. F, Famutimi T. and Anja P. (2015). “A Repository Mobile Immunization Reminder System (RMRIS) for Nursing Mothers”. International Journal of Computing (IJC), 18 (1), pp. 7 – 22
   Awoniran O. M. Famutimi R. F., Olatunji P. R., and Famutimi T. I. (2019), “Mobile Phone Short Message Service for Data Management in Immunization Information System”. Ife journal of Information and Communication Technology (IJICT), Vol 4 pp 25 – 30 ISSN 2645 2413.
2. O. A. Daramola, T. I. Famutimi and A. E Akinwomi. (2021). “An Android- Based System for Locating Nearest NationalHealth Insurance Scheme Hospital to Patient Location”. International Journal of Computing Applications, 174 (22), pp 34 – 38.
3. Awoniran, O. M., Abiodun, A. O., Ogunniyi, J. and Famutimi T. I. (2022). “Intelligent High-Density Vehicle Lane Recognition For Effective Road Traffic Control”. Ife Journal of Information and Communication Technology (IJICT). Vol 5, pp 25 – 30, ISSN 2645 2413
4. Awoniran, O. M., Oyelami, M. O., Ikono, R. N., Famutimi, R. F., & Famutimi, T. I. (2022). A Machine Learning Technique for Detection of Diabetes Mellitus. In 2022 5th Information Technology for Education and Development (ITED) (pp. 1-6). IEEE.