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Publications

Peer-reviewed work and preprints across machine learning, geoscience ML, and LLM safety.

Peer-Reviewed Publications

Olanrewaju Muili, Hassan A. Babaie. Sinkhole susceptibility analysis using machine learning for west central Florida. Applied Computing and Geosciences, vol. 27, 100262, 2025.

Peer-reviewed machine-learning study of sinkhole susceptibility in west central Florida — geospatial feature engineering and supervised models applied to karst hazard mapping. The modeling approach later informed the Karst Intelligence Agent decision-support system.

[Paper][DOI][Code]

[BibTeX]
@article{muili2025sinkhole,
  author  = {Muili, Olanrewaju and Babaie, Hassan A.},
  title   = {Sinkhole susceptibility analysis using machine learning for west central Florida},
  journal = {Applied Computing and Geosciences},
  volume  = {27},
  pages   = {100262},
  year    = {2025},
  doi     = {10.1016/j.acags.2025.100262}
}

Preprints

Olanrewaju Muili. Evaluating hybrid guardrail architectures for prompt injection defense in large language models. SSRN preprint, 2026.

Sole-authored systematic evaluation of baseline, regex-only, and hybrid (regex + LLM classifier) guardrails on a two-tier 625-prompt benchmark spanning 18 attack categories. On the adversarially hard tier, the hybrid configuration reaches a 98.9% attack block rate (recall) with a 0.0% benign false-positive rate (F1 = 0.994), while regex-only filtering degrades to a 24.6% block rate.

[Paper][DOI][PDF][Project]

[BibTeX]
@article{muili2026guardrails,
  author = {Muili, Olanrewaju},
  title  = {Evaluating Hybrid Guardrail Architectures for Prompt Injection Defense in Large Language Models},
  year   = {2026},
  note   = {SSRN preprint},
  doi    = {10.2139/ssrn.6246379}
}