People

Dr. Mohammed Baaoum

Assistant Professor

Education

  • Ph.D., Industrial and Systems Engineering, Virginia Tech, USA, 2024
  • M.S., Industrial Engineering, Arizona State University, USA, 2015
  • B.S., Electrical Engineering, KFUPM, Saudi Arabia, 2010

Teaching

  • Introduction to Data Science
  • Engineering Economics Analysis
  • Project Management
  • Introduction to Industrial and Systems Engineering
  • Work and Process Improvements

Research Interests

  • Data Science, Artificial Intelligence, and Machine Learning
  • Simulation and Computational Modeling
  • Healthcare Systems Engineering and Health Analytics
  • Public Health and Infectious Disease Modeling
  • Productivity, Efficiency, and Performance Analytics
  • Sociotechnical Systems and Decision Support
  • Energy and Sustainable Systems Analytics

Selected Publications

Alshammari, S., Ba-Aoum, M., & Alganmi, N. (2025). A survey of epidemic modeling to study the impact of religious mass gatherings during infectious disease pandemics. ACM Transactions on Modeling and Computer Simulation, 35(3). https://doi.org/10.1145/3716869

Ba-Aoum, M., Alrezq, M., Datta, J., & Triantis, K. P. (2024). Predicting students’ self-efficacy in Muslim societies using machine learning algorithms. Frontiers in Big Data: Data Analytics for Social Impact, 7. https://doi.org/10.3389/fdata.2024.1449572

Alshammari, S. M., Alganmi, N. A., Ba-Aoum, M. H., Binyamin, S. S., AL-Ghamdi, A. A.-M., & Ragab, M. (2024). Hybrid arithmetic optimization algorithm with deep learning model for secure unmanned aerial vehicle networks. AIMS Mathematics, 9(3), 7131–7151. https://doi.org/10.3934/math.2024348

Peiffer, E., Williams, R., Ba-Aoum, M., Hudson-Heck, E., Aranda, I., & Wiegele, J. (2024). Evaluation of new opportunities for marine energy to power the blue economy: Green hydrogen and marine carbon dioxide removal. National Renewable Energy Laboratory. https://doi.org/10.2172/2349050

Ba-Aoum, M., Hosseinichimeh, N., Triantis, K., Pasupathy, K., Sir, M., & Nestler, D. (2023). Statistical analysis of factors influencing patient length of stay in emergency departments. International Journal of Industrial Engineering and Operations Management, 5(3), 220–239. https://doi.org/10.1108/IJIEOM-10-2022-0056

Alshammari, S., Ba-Aoum, M., Alganmi, N., & Allinjawi, A. (2021). Agent-based simulation framework for epidemic forecasting during Hajj seasons in Saudi Arabia. Information, 12(8), 325. https://doi.org/10.3390/info12080325

Mohammed Baaoum

Assistant Professor