Projects per year
Personal profile
Research interests
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
PhD, Advanced Statistical Process Monitoring Schemes for Industrial Data, City University of Hong Kong
1 Sep 2016 → 1 Oct 2019
Award Date: 1 Oct 2019
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Dive into the research topics where Ridwan Adeyemi Sanusi is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 1 Active
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Predicting Breast Cancer Recurrence using Advanced Machine Learning in Saudi Arabia
Al-Bashrawi, M. (PI) & Sanusi, R. A. (CoI)
1/09/24 → 31/12/25
Project: Research
Research output
- 20 Article
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Hybrid random projection technique for enhanced representation in high-dimensional data
Yahaya, Y., Ajadi, J. O., Sanusi, R. A., Sawlan, Z. & Adegoke, N. A., 1 Mar 2025, In: Expert Systems with Applications. 262, 125569.Research output: Contribution to journal › Article › peer-review
Open Access -
Prognostic model for predicting recurrence in breast cancer patients in Saudi Arabia
Khan, O., Ajadi, J. O., Almsned, F., Almohanna, H., Alrasheed, A., Sanusi, R. A. & Adegoke, N. A., Dec 2025, In: Scientific Reports. 15, 1, 18388.Research output: Contribution to journal › Article › peer-review
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Multivariate Technique for Detecting Variations in High-Dimensional Imagery
Sanusi, R. A., Ajadi, J. O., Abbasi, S. A., Dauda, T. O. & Adegoke, N. A., 2024, In: IEEE Access. 12, p. 55874-55888 15 p.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
Predicting Antibacterial Drugs Properties Using Graph Topological Indices and Machine Learning
Abubakar, M. S., Ejima, O., Sanusi, R. A., Ibrahim, A. H. & Aremu, K. O., 2024, (Accepted/In press) In: IEEE Access.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations -
Unsupervised item response theory models for assessing sample heterogeneity in patient-reported outcomes measures
Sajobi, T. T., Sanusi, R. A., Mayo, N. E., Sawatzky, R., Kongsgaard Nielsen, L., Sebille, V., Liu, J., Bohm, E., Awosoga, O., Norris, C. M., Wilton, S. B., James, M. T. & Lix, L. M., Mar 2024, In: Quality of Life Research. 33, 3, p. 853-864 12 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations