Research interests

• Forward inverse experimental design methods for simulation and modeling.
• Machine learning applications in sports analytics and biomedical imaging.
• Corrosion modeling and synthetic data generation.
• DOE for Hyper parameter tuning of LLMS.
• EEG connectivity and hypothesis testing for ADHD studies.
• Cybersecurity vulnerability management and analytics.

Selected publications

1. Kerson, C., Yazbeck, M., Shahsavaripoor, B., Walker, R., Manalang-Monnier, P., Allen, T., Arnold, L. E., & Lubar, J. (2025). EEG Connectivity as Predictor of ICAN ADHD Children’s Improvement After Completion of Theta-Beta Ratio Neurofeedback: Machine Learning Analyses. Applied Psychophysiology and Biofeedback.
2. Yazbeck, M., Abdullah, M., Alhanouti, S., Vatne, E., Hagen, J., Allen, T. T., & Krening, S. (2025). Perfect shot reveal: Machine learning analysis of goal-scoring strategies in soccer. International Journal of Sports Science & Coaching.
3. Chesser, R., Yazbeck, M., & Khafizov, M. (2024). Nuclear reactor radiation and temperature effects on piezoelectric surface acoustic wave devices. Nuclear Instruments and Methods in Physics Research Section B.
4. Kerson, C., Lubar, J., DeBeus, R., Pan, X., Rice, R., Allen, T. T., Yazbeck, M. et al. (2022). EEG Connectivity in ADHD Compared to a Normative Database. Applied Psychophysiology and Biofeedback.
5. Wang, Y., Sha, G., Harlow, C., Yazbeck, M., Khafizov, M. (2020). Impact of nuclear reactor radiation on AlN/sapphire surface acoustic wave devices. NIMB.

Academic Degrees

PhD, Industrial Engineering, The Ohio State University, USA, 2024
M.S., Mechanical Engineering, The Ohio State University, USA, 2020
M.S., Mechanical Engineering, American University of Beirut, Lebanon, 2017
B.E., Mechanical Engineering, Lebanese American University, Lebanon, 2015

Professional Membership

• Former member of Graduate SWE (Society of Women Engineers)
• ASME (American Society of Mechanical Engineers)
• INFORMS (Institute for Operations Research and the Management Sciences)
• AWARES (Aspiration for Women’s Advancement and Retention in Engineering and Sciences)