Oscar Deho

Dr Oscar Deho

Research Fellow

School of Education

College of Education, Behavioural and Social Sciences

Available For Media Comment.

Dr. Oscar Blessed Deho received his B.Sc. degree in Computer Science and Engineering from the University of Mines and Technology, Tarkwa, Ghana in 2018, and his Ph.D. in Computer and Information Science from the University of South Australia in 2023. His PhD focused on investigating and developing fair predictive models in the educational domain. Oscar's main research interests are in Ethical AI, specifically fairness and explainability of machine learning and AI models.

Year Citation
2026 Ispahany, J., Deho, O. B., Islam, M. R., Khan, M. A., & Islam, M. Z. (2026). Radar: a realistic dataset for advancing ransomware detection. Cybersecurity, 9(1), 29 pages.
DOI
2025 Deho, O. B., Bewong, M., Kwashie, S., Li, J., Liu, J., Liu, L., & Joksimovic, S. (2025). Is it still fair? A comparative evaluation of fairness algorithms through the lens of covariate drift. Machine Learning, 114(1), 1-19.
DOI Scopus2 WoS1
2024 Deho, O. B., Liu, L., Li, J., Liu, J., Zhan, C., & Joksimovic, S. (2024). When the Past != The Future: Assessing the Impact of Dataset Drift on the Fairness of Learning Analytics Models. IEEE Transactions on Learning Technologies, 17, 1007-1020.
DOI Scopus9 WoS4
2024 Heiyanthuduwage, S. R., Altas, I., Bewong, M., Islam, M. Z., & Deho, O. B. (2024). Decision Trees in Federated Learning: Current State and Future Opportunities. IEEE Access, 12, 127943-127965.
DOI Scopus18 WoS14
2023 Zhan, C., Deho, O. B., Zhang, X., Joksimovic, S., & de Laat, M. (2023). Synthetic data generator for student data serving learning analytics: a comparative study. Learning Letters, 1(5), 1-15.
DOI
2023 Zhan, C., Blessed Deho, O., Zhang, X., Joksimović, S., & de Laat, M. (2023). Synthetic data generator for student data serving learning analytics: A comparative study. Journal of Learning Letters.
DOI
2023 Deho, O. B., Joksimovic, S., Li, J., Zhan, C., Liu, J., & Liu, L. (2023). Should Learning Analytics Models Include Sensitive Attributes? Explaining the Why. IEEE Transactions on Learning Technologies, 16(4), 560-572.
DOI Scopus22 WoS16
2022 Deho, O. B., Zhan, C., Li, J., Liu, J., Liu, L., & Le, T. D. (2022). How do the existing fairness metrics and unfairness mitigation algorithms contribute to ethical learning analytics?. British Journal of Educational Technology, 53(4), 822-843.
DOI Scopus70 WoS50

Courses I teach

  • INFS 3076 Predictive and Descriptive Analytics (2024)
  • INFS 5100 Predictive Analytics (2024)

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