Dr Adeola Alebiosu
- Post-Doctoral Research Fellow
- School of Computing and Artificial Intelligence
Biography
Dr Adeola Alebiosu is a Postdoctoral Research Fellow at ºìÐÓÊÓÆµ University. She earned a Doctor of Philosophy (PhD) in Public Health from Monash University. Prior to this, Dr. Adeola completed a Master of Science in Medical and Health Sciences by Research at the International Medical University, Malaysia, with a specialization in Epidemiology. She holds a Bachelor of Science in Physiology from the University of Ilorin, Nigeria. She also has a Certificate in the Principles and Practice of Public Health from the University of Port Harcourt School of Public Health, Nigeria. She has completed several micro-credentials, including training in Integrated Disease Surveillance and Response by the World Health Organization (WHO) Health Emergencies Programme, and training in data analysis with the HerTechTrail Academy.
Dr Adeola has both academic and industry research experience across multiple organisations, including the United Nations University International Institute for Global Health (Malaysia), Pretium Nig Ltd (Nigeria), and the Nigeria Police Medical Service. She also has experience as a public health tutor for pandemic and epidemic preparedness. Dr Adeola is engaged in peer review for journals including PLOS ONE, Health Science Reports, JMIR Public Health and Surveillance, and BMJ Public Health. Her primary research interests are public health surveillance and secondary data analysis, with a focus on strengthening health surveillance and data monitoring to support public health action and policymaking. She has published part of her research findings in Scopus-ranked journals. She is a recipient of the International Medical University Research Grant Awards and the Monash University Scholarship.
She is continuing her research at ºìÐÓÊÓÆµ University, working with a research team on the Artificial Intelligence for Pandemic and Epidemic Preparedness (AI4PEP) project.
Academic & Professional Qualifications
- Certificate in Principles and Practice of Public Health, University of Port Harcourt School of Public Health, Nigeria (2025)
- Doctor of Philosophy (PhD) in Public Health, Monash University Malaysia (2024)
- Master of Science (MSc) by Research in Medical and Health Sciences (Epidemiology), International Medical University, Malaysia (2018)
- Bachelor of Science (BSc) in Physiology, University of Ilorin, Nigeria (2004)
Research Interests
- Public health
- Public Health – Non-communicable Diseases
- Artificial Intelligence
Notable Publications
- 2025 - Alebiosu, D. O., Paurboo, A. A., Adeola, F., Abdul Majeed, A. P. P., Ajibade, S. S. M., (2025) Deep Learning Application for Tuberculosis Analysis in CT Scan Images: A Rapid Review. Lecture Notes in Networks and Systems, 1684, 399–408. Springer.
- 2025 - Folayan, A., & Ambu, S. Antimycotic Susceptibility of Environmental Airborne Yeasts: Evidence from Diverse Work Environments. (2025). Investigation of airborne yeast profiles and antifungal susceptibility across workplace environments.
- 2025 - Folayan, A., Fatt, Q. K., Cheong, M. W. L., & Su, T. T. Healthcare Cost Coverage and Hypertension and Diabetes Care Step Movement: A Five Year Follow Up Study in a Malaysian Semi Rural Community. (2025). Follow up cohort study examining progression of care in hypertension and diabetes relative to healthcare cost coverage.
- 2025 - Alebiosu, D. O., Hassan, F., Folayan, A., & Yeow, M. Y. H. A Comparison of 2D and 3D CNN for Lung CT Image Tuberculosis Severity Assessment. (2025). Evaluation of 2D versus 3D convolutional neural networks for assessing tuberculosis severity from CT images.
- 2024 - Folayan, A., Fatt, Q. K., Cheong, M. W. L., & Su, T. T. (2024) Healthcare cost coverage inequality and its impact on hypertension and diabetes: a five year follow up study in a Malaysian rural community. Health Sci Rep.
- 2024 - Folayan, A., Cheong, M. W. L., Fatt, Q. K., & Su, T. T. (2024) Health insurance status, lifestyle choices and the presence of non communicable diseases: a systematic review. Journal of Public Health (Oxf) 46(1): e91–e105.
- 2024 - Alebiosu, D. O., Folayan, A., Chen, W., Toluloppe, A., & Ajibade, S. S. M. COVID 19 Lung CT Image Segmentation: A Comparison of Various U Net Variants. Conference/Journal proceedings (2024). Comparative evaluation of deep learning U Net models for segmenting COVID 19 lung CT scans.
- 2020 - Folayan, A., & Ambu, S. Indoor air bacterial and fungi bioburden in an electronic factory, an office and a winery in Malaysia. (2020). Environmental microbiology study comparing airborne bacteria and fungi across different workplace settings in Malaysia.
- 2018 - Folayan, A., Mohandas, K., Ambu, S., Kumarasamy, V., Lee, N., & Mak, J. W. Kytococcus sedentarius and Micrococcus luteus: highly prevalent in indoor air and potentially deadly to the immunocompromised—should standards be set? Journal/Proceedings: (2018). Examination of the prevalence of Kytococcus and Micrococcus species in indoor environments and associated risks to immunocompromised individuals.