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Maryam Pishgar is a Lecturer in Industrial Systems Engineering at the University of Southern California, specializing in data analytics. She has earned her Bachelor's, Master's, and Doctoral degrees from the University of Illinois at Chicago, focusing on Industrial Engineering with an Operations Research concentration. Her research interests lie in Data Driven Decision Making (3DM) applications, particularly in the healthcare sector. Maryam's passion is utilizing process mining and machine learning to predict critical health outcomes from analyzing tabular and text data. She employs diffusion GAN models to generate deep-fake MRI images accurately. Before her role at USC, she served as a postdoctoral research fellow in the Department of Biomedical Engineering at the University of California, Irvine. Maryam is also the founder of Solix Data Driven Business Solution, a company dedicated to solving data analytics challenges for businesses.
Requires general GRE for all graduate degrees.