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Bobak Mortazavi is an Associate Professor in the Department of Computer Science and Engineering at Texas A&M University. His research primarily focuses on medical analytics and prediction, particularly in the area of comparative effectiveness. He has extensive experience in machine learning, embedded systems design, and wearable sensors. His work in cyber-physical systems integrates advanced computational techniques with real-world applications to enhance health monitoring and improve patient outcomes. Over the years, Dr. Mortazavi has received several honors, including the Demonstration Award at the IEEE EMBS 9th International Body Sensor Network Conference in 2012 and the Featured Article recognition from the IEEE Journal of Biomedical Health Informatics in 2014. Additionally, he was awarded a Paper Award at the Fourth International Conference on Data Analytics in 2015. His consistent dedication to research and education in the field underscores his commitment to advancing the technological frontiers of healthcare.
Texas A&M University • College Station, TX
Teaching and conducting research in the field of Computer Science and Engineering.
Department: Department of Communication and Journalism. Ph.D. program only currently admitting. GRE is test-optional.