Dr. Maha I. Yazbeck is an Assistant Professor in the School of Engineering at the Lebanese American University (LAU). Her research specializes in the design of experiments for computer simulations, with applications to complex engineering systems. She bridges statistics, artificial intelligence, and engineering experimentation to produce interpretable decision-support tools for real-world systems.

Dr. Yazbeck’s research interests span forward-inverse experimental design methods for simulation and modeling, machine learning applications in sports analytics and biomedical imaging, corrosion modeling and synthetic data generation, design of experiments for hyperparameter tuning of large language models (LLMs), EEG connectivity and hypothesis testing for ADHD studies, and cybersecurity vulnerability management and analytics .

Her recent peer-reviewed publications include “Perfect shot reveal: Machine learning analysis of goal-scoring strategies in soccer” in the International Journal of Sports Science & Coaching (2025), which analyzed tactical differences between male and female athletes using machine learning approaches . She also co-authored “EEG Connectivity as Predictor of ICAN ADHD Children’s Improvement After Completion of Theta-Beta Ratio Neurofeedback: Machine Learning Analyses” in Applied Psychophysiology and Biofeedback (2025), as well as research on nuclear reactor radiation effects on piezoelectric surface acoustic wave devices published in Nuclear Instruments and Methods in Physics Research Section B (2024) .

Dr. Yazbeck earned her Ph.D. in Industrial Engineering from The Ohio State University (2024), following an M.S. in Mechanical Engineering from The Ohio State University (2020), an M.S. in Mechanical Engineering from the American University of Beirut (2017), and a B.E. in Mechanical Engineering from the Lebanese American University (2015) .

She is a professional member of 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), and was formerly a member of Graduate SWE (Society of Women Engineers)