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I received my B.Sc. degree in Biomedical Engineering (EE), in 2012, M.Sc. in Biomedical Imaging from Åbo Akademi BioImaging Master's Degree Program, and a Ph.D. degree in Medical Physics and Engineering from the University of Turku, Finland, in 2014 and 2018, respectively. Prior to joining Stanford University, I worked as a Principal Lecturer in Artificial Intelligence at Turku University of Applied Sciences (TUAS), Senior Researcher at the University of Turku, Research Scientist in Precordior Company, and Graduate Researcher at Turku PET Center in Finland. I am a scientist with academic and industrial interests and collaboration experiences with various universities and companies. My research interests focus on physiological monitoring for human health, multi-facet data processing, and analysis, medical imaging, applied machine learning, deep learning, computer vision, robotics, and autonomous systems, privacy-preserving ML, and statistical analysis. I routinely use my technical background in Biomedical Engineering and Artificial Intelligence to tackle all aspects of a project and deliver high-quality results. In addition to a diverse technical repertoire, I have excellent written and oral communication skills gained through the regular presentation of my research work and interaction with people in a variety of different roles - from students I have worked with, to professionals with whom I discuss experimental results and “next steps.”
This project considers Microelectromechanical (MEMS) sensors for head motion tracking in clinical PET/MRI studies.
Dr. Jafaritadi is working on the device- and data-driven motion estimation systems for brain PET imaging. His research focuses on motion tracking using multidimensional MEMS motion sensors, signal processing, and machine learning. He is also interested in working on data-driven motion correction and image enhancement for PET/MRI using deep neural networks.