Abdallah Alsammani

Publications

Journal articles, conference papers, preprints, and other scholarly work in mathematical biology, scientific machine learning, biomedical data science, and computational neuroscience. Preprints are marked as such throughout.

Selected publications

The influence of recording duration and vigilance state on high-frequency oscillation characterization in epilepsy

Chen, Z., Gliske, S. V., Alsammani, A., Tyner, K., Das, S., Mutahr, M., Lin, J., et al. (2026).

Neurology, 107(2), e218225.

Journal article
DOI

Interpretable machine-learning prognosis of mycetoma from routine clinical data

Yousif, M. H., Alsammani, A., Abdalla, M. H., Bashier, E. B. M., Mohammed, M. A. Y., et al. (2026).

Transactions of the Royal Society of Tropical Medicine and Hygiene, trag061.

Journal article
DOI

Calibrated and interpretable machine learning for ICU mortality prediction using first 24-hour clinical data

Alsammani, A., Johnson, M., & Elrefaei, J. (2026).

Preprint, medRxiv, 2026.05.30.26354524.

Preprint
medRxiv

A tutorial on symbolic structural identifiability analysis of ODE models in Julia

Alsammani, A. (2026).

Preprint, arXiv:2605.18910.

Preprint
arXiv

Impact of vaccination behavior on COVID-19 dynamics and economic outcomes

Alsammani, A., Ngonghala, C. N., & Martcheva, M. (2025).

Mathematical Biosciences and Engineering, 22(9), 2300–2338.

Journal article
DOI

Estimation of circular statistics in the presence of measurement bias

Alsammani, A., Stacey, W. C., & Gliske, S. V. (2023).

IEEE Journal of Biomedical and Health Informatics, 28(2), 1089–1100.

Journal article
DOI

Complete list

Grouped by year; within each year, peer reviewed work is listed before preprints. Filter by research area below.

Area

2026

Peer reviewed

The influence of recording duration and vigilance state on high-frequency oscillation characterization in epilepsy

Chen, Z., Gliske, S. V., Alsammani, A., Tyner, K., Das, S., Mutahr, M., Lin, J., et al. (2026).

Neurology, 107(2), e218225.

Journal article
DOI

Interpretable machine-learning prognosis of mycetoma from routine clinical data

Yousif, M. H., Alsammani, A., Abdalla, M. H., Bashier, E. B. M., Mohammed, M. A. Y., et al. (2026).

Transactions of the Royal Society of Tropical Medicine and Hygiene, trag061.

Journal article
DOI

A scalable transaction management framework for consistent document-oriented NoSQL databases

Alflahi, A. A. E., Mohammed, M. A. Y., & Alsammani, A. (2026).

Information Systems, 140, 102719.

Journal article
DOI

A methodology for sustainable management of construction equipment fleets: Estimating emissions and enhancing environmental performance

Rueda-Benavides, J., Khalafalla, M., Gransberg, D. D., & Alsammani, A. (2026).

In Construction Research Congress 2026 (pp. 491–501).

Conference paper

Construction work zone safety: Identifying critical crash factors and patterns in Florida

Ubaka, A., Alsammani, A., Khalafalla, M., & Kobelo Regalado, D. (2026).

In Construction Research Congress 2026 (pp. 888–898).

Conference paper
Publisher

Preprints

Long-term coexistence of epidemics and risk awareness: Impacts of adaptive human response and fatigue

Mohammed, M., & Alsammani, A. (2026).

Preprint, arXiv:2607.18301.

Preprint
arXiv

Calibrated and interpretable machine learning for ICU mortality prediction using first 24-hour clinical data

Alsammani, A., Johnson, M., & Elrefaei, J. (2026).

Preprint, medRxiv, 2026.05.30.26354524.

Preprint
medRxiv

A tutorial on symbolic structural identifiability analysis of ODE models in Julia

Alsammani, A. (2026).

Preprint, arXiv:2605.18910.

Preprint
arXiv

Crash severity dynamics and risk determinants in Florida: An integrated statistical and explainable machine learning analysis

Alsammani, A., Khalafalla, M., & Kobelo Regalado, D. (2026).

Preprint, SSRN 6512551.

Preprint

Adaptive control and Mittag-Leffler stability of Caputo fractional systems with state-dependent delays

Alsammani, A., & Farah, G. (2026).

Preprint, arXiv:2602.07105.

Preprint
arXiv

2025

Peer reviewed

Impact of vaccination behavior on COVID-19 dynamics and economic outcomes

Alsammani, A., Ngonghala, C. N., & Martcheva, M. (2025).

Mathematical Biosciences and Engineering, 22(9), 2300–2338.

Journal article
DOI

Predicting sleep disorders using machine learning: A comparative analysis

Goodyear, S., & Alsammani, A. (2025).

In International Conference on Computational Science and Its Applications (pp. 106–121).

Conference paper
DOI

Preprints

Cholera transmission dynamics with sanitation control measures

Alsammani, A., Farah, G. A. M. O., Mohammed, M. A. Y., & Yavuz, M. (2025).

Preprint, arXiv:2505.08873.

Preprint
arXiv

2024

Peer reviewed

Enhancement of database access performance by improving data consistency in a non-relational database system (NoSQL)

Alflahi, A. A. E., Mohammed, M. A. Y., & Alsammani, A. (2024).

In International Conference on Computational Science and Its Applications (pp. 194–205).

Conference paper

Preprints

Coexistence via trophic cascade in plant-herbivore-carnivore systems under intense predation pressure

Mohammed, M., Mohammed, M. A. Y., Alsammani, A., Bakheet, M., Hui, C., et al. (2024).

Preprint, arXiv:2408.04862.

Preprint
arXiv

2023

Peer reviewed

Estimation of circular statistics in the presence of measurement bias

Alsammani, A., Stacey, W. C., & Gliske, S. V. (2023).

IEEE Journal of Biomedical and Health Informatics, 28(2), 1089–1100.

Journal article
DOI

Mathematical analysis of autonomous and nonautonomous hepatitis B virus transmission models

Alsammani, A. (2023).

In International Conference on Computational Science and Its Applications (pp. 327–343).

Conference paper

Preprints

Stochastic dynamics of hepatitis B virus infection: Analysis, stability, and numerical simulation

Alsammani, A. (2023).

Preprint, arXiv:2308.05819.

Preprint
arXiv

2022

The impact of intracranial EEG on sleep is independent of whether a craniotomy was performed

Tyner, K., Alsammani, A., Hegeman, G., Stacey, W., & Gliske, S. (2022).

SLEEP, 45, 1.

Conference abstract

2021

Effect of sleep stage on high-frequency oscillations and artifacts

Alsammani, A., Gliske, S., & Stacey, W. (2021).

AES 2021 Annual Meeting Abstract Database.

Conference abstract

2020

Dynamical behavior of nonautonomous and stochastic HBV infection model

Alsammani, A. A. M. (2020).

Ph.D. dissertation, Auburn University.

Dissertation

2019

Stability analysis of a chemotherapy model with delays

Abdulrashid, I., Alsammani, A. A. M., & Han, X. (2019).

Discrete & Continuous Dynamical Systems – Series B, 24(3), 989.

Journal article
DOI
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