Ismail Abdulrashid

Assistant Professor of Data Analytics

University of Tulsa

United States

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Ismail Abdulrashid is an Assistant Professor of Data Analytics at The University of Tulsa, USA. His research areas include epidemiological modeling, explainable artificial intelligence, and optimization frameworks in healthcare. He has published recent articles focusing on modeling disease transmission dynamics, assessing government interventions during pandemics, and exploring risk analysis in logistics.

Articles (11)

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2025

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2025

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2024

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2024

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2024

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2024

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2024

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2024

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2023

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2023

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2020

Collaborators (2)

Mohamed Khalafalla

Associate Professor

Florida A&M University

UNITED STATES

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Kazim Topuz

Assistant Profesor

University of Tulsa

UNITED STATES

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Ismail Abdulrashid

Research Interests

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Articles (11)

Transport behavior and government interventions in pandemics: A hybrid explainable machine learning for road safety

Modeling Neisseria meningitidis transmission dynamics and the impact of pentavalent vaccination targeting serogroups A, C, W-135, Y, and X in the African meningitis belt

What makes accidents severe! explainable analytics framework with parameter optimization

A multi-objective optimization framework for determining optimal chemotherapy dosing and treatment duration

Evaluating the spike in the symptomatic proportion of SARS-CoV-2 in China in 2022 with variolation effects: a modeling analysis

Explainable artificial intelligence in transport Logistics: Risk analysis for road accidents

Impact of social media posts’ characteristics on movie performance prior to release: an explainable machine learning approach

Synergistic Impact of Active Case Detection and Early Hospitalization for Controlling the Spread of Yellow Fever Outbreak in Nigeria: An Epidemiological Modeling and Optimal Control Analysis

An analytical approach to evaluate the impact of age demographics in a pandemic

Optimized drug regimen and chemotherapy scheduling for cancer treatment using swarm intelligence

A mathematical model of chemotherapy with variable infusion

Collaborators (2)

Mohamed Khalafalla

Kazim Topuz

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