Mohammad Moghimi is a PhD candidate of Computer Science at the Computer Science and Engineering department of UCSD. He started his PhD after receiving MSc in Computer Engineering from Sharif University of Technology. Mohammad is a member of the Computer Vision lab at UCSD and is supervised by Prof. Serge Belongie. His research interests center around Computer Vision and Machine Learning. He is currently working on analysis of SenseCam images and designing the next generation annotation system to facilitate image annotation for physical activity machine learning research.
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