Mohammad Fili

Dr. Mohammad Fili is a Visiting Assistant Professor in the Department of Industrial Engineering and Management at Oklahoma State University (OSU), part of the College of Engineering, Architecture and Technology (CEAT). His research focuses on healthcare analytics, machine learning, deep learning, aging and cognitive performance, statistical analysis, and optimization. He holds a Ph.D. in Industrial Engineering from Iowa State University (2022), an M.S. in Statistics from Iowa State University (2022), an M.S. in Industrial Engineering from Sharif University of Technology (2018), and a B.S. in Industrial Engineering from Iran University of Science and Technology (2016).

His research explores applications of machine learning in healthcare, including predicting HIV mutational patterns, analyzing cognitive aging mechanisms in 'Super-Agers,' and optimizing pandemic intervention strategies. Recent work includes studies on brain health biomarkers, SARS-CoV-2 variant evolution, and demand forecasting for retail sectors. Notable contributions involve hybrid algorithms combining machine learning and optimization to address complex biomedical and operational challenges.

Key research trends include leveraging neuroimaging data (MRI/fMRI) and blood biomarkers for cognitive health prediction, applying deep learning to virology and public health, and developing optimization frameworks for policy effectiveness analysis. His work bridges engineering methodologies with healthcare and epidemiological challenges, emphasizing data-driven decision-making.

Dr. Fili has no listed scientific awards but has authored/co-authored over 25 peer-reviewed articles. While no formal advising relationships or grants are detailed, his publications suggest collaborative research in interdisciplinary teams across universities and institutions.