Over 360 Google Scholar citations as of March 2026. Full list: Google Scholar profile.

Open-Source Engineering Output

climatehealth (R package, CRAN)

  • Lead maintainer, platform developer, and corresponding author.
  • Implements six climate-health indicators endorsed by the United Nations Statistical Commission (57th session, New York, March 2026) for the Global Set of Environment and Climate Change Statistics.
  • Methods: distributed lag non-linear models (DLNM), quasi-Poisson time-series regression, case-crossover analysis, Bayesian spatio-temporal models (INLA), and multivariate meta-analysis.
  • URL: https://climate-health.officialstatistics.org

Selected Peer-Reviewed Publications

Journal Papers

  1. K. G. Omeke et al., “Towards a Sustainable Internet-of-Underwater-Things based on AUVs, SWIPT and Reinforcement Learning,” IEEE Internet of Things Journal, vol. 11, no. 5, pp. 7640–7651, 2024.

  2. K. G. Omeke et al., “DEKCS: A Dynamic Clustering Protocol to Prolong Underwater Sensor Networks,” IEEE Sensors Journal, vol. 21, no. 7, pp. 9457–9464, 2021. (106+ Google Scholar citations; one of the most downloaded papers in its category.)

  3. K. G. Omeke et al., “How Reinforcement Learning is Helping to Solve Internet-of-Underwater-Things Problems,” IEEE Internet of Things Magazine, vol. 5, no. 4, pp. 24–29, 2022.

  4. A. I. Abubakar, K. G. Omeke et al., “A Survey on Energy Optimization Techniques in UAV-Based Cellular Networks: From Conventional to Machine Learning Approaches,” Drones (MDPI), vol. 7, no. 3, art. 214, 2023.

  5. A. I. Abubakar, K. G. Omeke et al., “The Role of Artificial Intelligence Driven 5G Networks in COVID-19 Outbreak: Opportunities, Challenges and Future Outlook,” Frontiers in Communications and Networks, vol. 1, art. 575065, 2020.

  6. E. Tshukudu, S. Olaosebikan, K. G. Omeke et al., “Broadening Participation in Computing: Experiences of an Online Programming Workshop for African Students,” ACM ITiCSE, pp. 393–399, 2022.

Conference Papers

  1. K. G. Omeke et al., “Dynamic Clustering and Data Aggregation for the Internet-of-Underwater-Things Networks,” CICN, Al-Khobar, Saudi Arabia, pp. 322–328, 2022.

  2. K. G. Omeke et al., “Energy Optimisation through Path Selection for Underwater Wireless Sensor Networks,” IEEE UCET, 2020.

  3. K. G. Omeke et al., “A Q-Learning-based Route Selection Scheme for the Internet-of-Underwater Things,” IEEE WCNC.

  4. K. G. Omeke et al., “Characterization of RF Signals in Different Types of Water,” IET Antennas and Propagation Conference, Birmingham, 2019.

Doctoral Thesis

  1. K. G. Omeke, “Cognitive Networking for the Internet of Underwater Things,” PhD Thesis, University of Glasgow, 2023. DOI: 10.5525/gla.thesis.83522

Major Manuscripts Under Review

  1. “Machine Learning Across the IoUT Protocol Stack: A Survey and Tutorial on Techniques, Deployments, and Open Challenges,” under revision at IEEE Communications Surveys and Tutorials. (First author.)

  2. “Coverage-Aware Hierarchical Federated Anomaly Detection for the Internet of Underwater Things,” under review at IEEE Internet of Things Journal. (First author.)

  3. “From Pixels to Semantic Telemetry: Joint Semantic Communication and Visual-Anchor Navigation for IoUT AUV Missions,” under review at IEEE Journal of Oceanic Engineering. (First author.)

  4. “Multi-Sensor IoT Fusion for Mould Risk Forecasting in Social Housing,” under review at IEEE Internet of Things Journal. (First author.)

  5. “Multi-Signal IoT Anomaly Detection for Non-Intrusive Welfare Monitoring of Lone Elderly Residents,” under review at IEEE Journal of Biomedical and Health Informatics. (First author.)

Invited Talks & Conference Presentations

  • Invited Speaker, IEEE Sensors Conference, Dallas, 2022 — following recognition of the DEKCS paper as one of the most downloaded in its category.
  • Multiple international conference presentations across IEEE WCNC, CICN, UCET, and IET venues.