Prof Attlee M. Gamundani

Prof Attlee Munyaradzi Gamundani (AMG) is an Associate Professor of Cybersecurity in the Department of Cyber Security, Faculty of Computing and Informatics, at the Namibia University of Science and Technology (NUST), and the founding lead of the Artificial Intelligence of Things for ICT for Development Research Cluster, an interdisciplinary platform advancing secure, ethical and context-responsive digital innovation in Africa. He holds a PhD in Computer Science and a Postgraduate Certificate in Higher Education from NUST, a Master of Science in Computer Science from the University of Zimbabwe, and a Bachelor of Science Honours in Information Systems from Midlands State University. He previously served as an ICT for Development Research Fellow at the United Nations University Institute in Macau, where his work focused on participatory artificial intelligence governance and ethics. His research integrates cybersecurity, artificial intelligence, the Internet of Things and ICT for Development to address challenges in digital health, smart-water systems, agriculture, cyber-physical infrastructure, digital governance and inclusive digital transformation. He teaches at undergraduate and postgraduate levels and supervises Honours, master’s and doctoral research. Prof Gamundani is a Senior Member of the IEEE, an ACM Professional Member, a Non-Executive Director of the Pan African Information Communication Technology Association, an Advisory Board Member of GenuineIn and a co-founder of the Namibia National Cyber Security Competition. He has contributed to national, continental and international initiatives focused on cyber-capacity development, responsible artificial intelligence and digital inclusion.

Research Focus

• Cybersecurity, Privacy and Digital Trust — network and cloud security, digital forensics, cyber-risk management, usable security, data privacy and child online protection.
• Artificial Intelligence, Data Science and Responsible Innovation — machine learning and deep learning for threat and anomaly detection, responsible AI, and intelligent applications in healthcare, water management, agriculture and public safety.
• Secure Internet of Things, Smart Infrastructure and Inclusive Digital Transformation — lightweight IoT authentication, smart homes and cities, cyber-physical systems, human-centred computing, digital inclusion and technology-enhanced education.

Selected Publications

Theses

Gamundani, A. M. (2018). A lightweight authentication architecture for unsupervised Internet of Things (IoT) in smart home applications [Doctoral dissertation, Namibia University of Science and Technology]. NUST Institutional Repository. http://hdl.handle.net/10628/635

Gamundani, A. M. (2011). A cloud computing architecture for an e-learning platform supporting multimedia content [Master’s thesis, University of Zimbabwe]. Thesis Bank

Book Chapters

Shipena, E. F. N., & Gamundani, A. M. (2024). A review of Internet of Things (IoT) smart office data security threats. In A. Hamdan, B. Alareeni, & R. K. Hamdan (Eds.), Digital technology and changing roles in managerial and financial accounting: Theoretical knowledge and practical application (pp. 375–381). Emerald Publishing. https://doi.org/10.1108/S1479-351220240000036034

Meyer, M., Gamundani, A. M., Becker, K., Malpartida, D., Nugroho, A., Ochoa-Luna, J., Stanley, C., & Winschiers-Theophilus, H. (2022). Global Intercultural Project Experience (GIPE): A distributed interdisciplinary project-based learning framework. In Education applications & developments VII (pp. 187–205). inScience Press. https://doi.org/10.36315/2022ead15

Sibanda, B. K., Iyawa, G. E., & Gamundani, A. M. (2021). Systematic review of plant pest and disease identification strategies and techniques in mobile apps. In Á. Rocha, H. Adeli, L. P. Reis, & S. Costanzo (Eds.), Trends and applications in information systems and technologies (pp. 491–502). Springer. https://doi.org/10.1007/978-3-030-72651-5_47

Gamundani, A. M., Phillips, A., & Muyingi, H. N. (2018). A review and costing of lightweight authentication schemes for Internet of Things (IoT): Towards the design of an authentication architecture for smart home applications. In X. Yi, E. Bertino, & R. Sandhu (Eds.), Security and privacy in communication systems: SecureComm 2018 (Vol. 254, pp. 375–390). Springer. https://doi.org/10.1007/978-3-030-01701-9_22

International Peer-Reviewed Journal Articles

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), Article 1933. https://doi.org/10.3390/w17131933

Kanyama, M. N., Shava, F. B., Gamundani, A. M., & Hartmann, A. (2024). Anomalies identification in smart water metering networks: Fostering improved water efficiency. Physics and Chemistry of the Earth, Parts A/B/C, 134, Article 103592. https://doi.org/10.1016/j.pce.2024.103592

Kanyama, M. N., Shava, F. B., Gamundani, A. M., & Hartmann, A. (2024). Machine learning applications for anomaly detection in smart water metering networks: A systematic review. Physics and Chemistry of the Earth, Parts A/B/C, 134, Article 103558. https://doi.org/10.1016/j.pce.2024.103558

Morolong, M. P., Shava, F. B., & Gamundani, A. M. (2023). Cloud computing security in health cyber-physical systems. Journal of Discrete Mathematical Sciences and Cryptography, 26(5), 1553–1568. https://doi.org/10.47974/JDMSC-1821

Makuvaza, A., Jat, D. S., & Gamundani, A. M. (2021). Deep neural network solution for real-time detection of distributed denial-of-service attacks in software-defined networks. SN Computer Science, 2, Article 107. https://doi.org/10.1007/s42979-021-00467-1

Pawluczuk, A., Lee, J., & Gamundani, A. M. (2021). Bridging the gender digital divide: An analysis of existing guidance for gender digital inclusion programmes’ evaluations. Digital Policy, Regulation and Governance, 23(3), 287–299. https://doi.org/10.1108/DPRG-11-2020-0158

Bere, M., Bhunu Shava, F., Gamundani, A. M., & Nhamu, I. (2015). How advanced persistent threats exploit humans. International Journal of Computer Science Issues, 12(6), 170–174. Publication record

Gamundani, A. M., Bhunu Shava, F., Bere, M., & Kandjimi, H. (2015). A preliminary survey on child online protection initiatives: A focus on Namibia. International Research Journal of Computer Science, 2(4), 17–22. Full-text record

Gamundani, A. M. (2014). An algorithmic framework security model for Internet of Things. International Journal of Computer Trends and Technology, 12(1), 16–20. https://doi.org/10.14445/22312803/IJCTT-V12P105

Non-Peer-Reviewed Articles and Preprints

Kamagata, A. H., Jat, D. S., Gamundani, A. M., Paramasivam, S., Sani, B., & Zakariyya, A. (2026). HPC-enabled video-based coastal wave parameter estimation using V-JEPA and deep spatiotemporal learning [Preprint]. arXiv. https://doi.org/10.48550/arXiv.2607.11998

Kamagata, A. H., Jat, D. S., Gamundani, A. M., Srivastava, A., & Saravanakumar, P. (2026). Physics-guided spatiotemporal learning for coastal wave parameter estimation [Preprint]. arXiv. https://doi.org/10.48550/arXiv.2606.13302

Julia, J., Iyawa, G., & Gamundani, A. M. (2023). Essential components of an IT risk management framework for the financial services industry: A review [Preprint]. SSRN. https://doi.org/10.2139/ssrn.4654581

Shakela, V., & Gamundani, A. M. (2023). A systematic review of cybersecurity awareness platforms: Recent approaches and research gaps [Preprint]. SSRN. https://doi.org/10.2139/ssrn.4663491

Puteho, C. S., Gamundani, A. M., & Nhamu, I. (2022). Applying the NIST cybersecurity framework in developing a digital forensic incident-response roadmap for the security sector in Namibia [Preprint]. SSRN. https://doi.org/10.2139/ssrn.4332936

Rita, M. N., Kavikairiua, J., Chitauro, M., Nhamu, I., Bhunu Shava, F., Gamundani, A. M., & Morolong, M. (2022). Co-designing an AI-driven supervisory real-time tracking system for Namibian children [Conference working paper]. SSRN. https://doi.org/10.2139/ssrn.4341420

Conference Proceedings

Nantinda, T., Gamundani, A. M., & Kanyama, M. N. (2024). Machine-learning application for detection and prediction of stroke risk and post-stroke outcomes: A comprehensive review. In 2024 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD). IEEE. https://doi.org/10.1109/icABCD62167.2024.10645285

Ndjene, J., Gamundani, A. M., & Kanyama, M. N. (2024). Leveraging machine learning to detect and predict diabetes in polycystic ovary syndrome patients: A review. In 2024 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD). IEEE. https://doi.org/10.1109/icABCD62167.2024.10645270

Silaa, J., Muyingi, H. N., Gamundani, A. M., & Masake, P. (2024). Towards a unified eDiscovery forensics architecture. In 2024 IST-Africa Conference (pp. 1–9). IEEE. https://doi.org/10.23919/IST-Africa63983.2024.10569395

Gamundani, A. M. (2023). Unmasking the potential of usable security and privacy technologies in empowering African digital landscapes. In Proceedings of the 4th African Human–Computer Interaction Conference (pp. 201–207). ACM. https://doi.org/10.1145/3628096.3629057

Gamundani, A. M., Phillips, A., & Muyingi, H. N. (2023). A scalable and lightweight authentication architecture for the Internet of Things in smart home applications. In 2023 2nd Zimbabwe Conference of Information and Communication Technologies (pp. 1–5). IEEE. https://doi.org/10.1109/ZCICT59466.2023.10528576

Kavikairiua, J., Morolong, M. P., Gamundani, A. M., Bhunu Shava, F., Rita, M. N., Nhamu, I., & Chitauro, M. (2023). Designing an AI solution for child online safety in Africa. In Proceedings of the 4th African Human–Computer Interaction Conference (pp. 288–290). ACM. https://doi.org/10.1145/3628096.3629072

Gamundani, A. M., Phillips, A., & Muyingi, H. N. (2018). An overview of potential authentication threats and attacks on Internet of Things: A focus on smart home applications. In 2018 IEEE International Conference on Internet of Things and associated conferences (pp. 50–57). IEEE. https://doi.org/10.1109/Cybermatics_2018.2018.00067

Gamundani, A. M., Phillips, A., & Muyingi, H. N. (2018). Privacy preservation and security dilemma: Relationship proposition for IoT authentication. In 2018 International Conference on Recent Innovations in Electrical, Electronics and Communication Engineering (pp. 363–367). IEEE. https://doi.org/10.1109/ICRIEECE44171.2018.9009176

Maoneke, P. B., Shava, F. B., Gamundani, A. M., Bere-Chitauro, M., & Nhamu, I. (2018). ICTs use and cyberspace risks faced by adolescents in Namibia. In Proceedings of the Second African Conference for Human–Computer Interaction: Thriving Communities (pp. 1–9). ACM. https://doi.org/10.1145/3283458.3283485

Gamundani, A. M. (2015). An impact review on Internet of Things attacks. In 2015 International Conference on Emerging Trends in Networks and Computer Communications (pp. 114–118). IEEE. https://doi.org/10.1109/ETNCC.2015.7184819

Conference Presentations and Invited Talks

Gamundani, A. M. (2024). Innovation in cybersecurity for smart infrastructure [Conference presentation]. Africa Smart Infrastructure Conference.

Gamundani, A. M. (2023, July). The intersection of AI and industry: Opportunities and challenges [Keynote address]. IndabaX Zimbabwe.

Gamundani, A. M. (2023). D1 Cyber [Invited address]. International Cybersecurity Championship and Conference, San Diego, California, United States.

Gamundani, A. M. (2023). Approaches to promote responsible AI in Africa [Invited address]. RAIN-Africa Conference, Ghana.

Gamundani, A. M. (2016). Internet of Things: A focus on digital privacy towards personal information security [Keynote address]. 3rd National ICT Summit, Namibia.

Gamundani, A. M. (2015). Bridging the digital divide: Rural mobile penetration and the concern for cybersecurity [Keynote address]. 2nd National ICT Summit, Namibia.