Fambi, G., Shava, F. B., & Chitauro, M. (2025). IoT-based leak detection systems for non-revenue water reduction in Namibia: A systematic literature review. In K. Arai (Ed.), Intelligent Computing: Proceedings of the Computing Conference (pp. 478–488). Springer.

Jere, N. R., Mwansa, G., Ranga, M., Gamundani, A. M., Maoneke, P. B., Vambe, W. T., Jere, T. L., Matarirano, O., Musaigwa, M., & Mfikoyi, T. (2025). Digital inequality in a developing context. Unpublished manuscript.

Jere, N. R., Mwansa, G., Ranga, M., Gamundani, A. M., & Maoneke, P. B. (2025). Digital inequality in a developing context: A multifaceted approach. AOSIS.

Kanyama, M. N., Shava, F. B., Gamundani, A. M., & Hartmann, A. (2025). 文献抄録 水利用効率の向上を促すスマート水道メータネットワークにおける異常検知. Journal of Japan Water Works Association, 94(1), 24–26.

Kanyama, M. N., Shava, F. B., Gamundani, A. M., & Hartmann, A. (2025). AI-driven anomaly detection in smart water metering systems using ensemble learning. Water, 17(13), 1933. MDPI. https://doi.org/10.3390/w17131933

Nhinda, G. T., Kashyap, M., Bhunu-Shava, F., & Gilbert, S. B. (2025). Teaching 4IR skills through collaborative innovation across the Atlantic. In J. Keengwe (Ed.), STEM: STEM education for all. Insights from research and practice (pp. 1–15). Springer.

Stephanus, L., Nhinda, G. T., & Shaanika, I. N. (2025). Teachers’ AI adoption in Namibia: A theory of planned behaviour analysis. Higher Education Research, 10(3), 77–87.