Mohammad Javad Shafiee, is currently Research Assistant Professor in the Department of Systems Design Engineering at University of Waterloo. He received the B.Sc. and M.Sc. degrees in Computer Science and Artificial Intelligence from Shiraz University, Shiraz, Iran, in 2008 and 2011 respectively; and the Ph.D. degree in systems design engineering from the University of Waterloo, Canada in 2017. His main research focus is on statistical learning and graphical models with random fields and deep learning approaches. His research interests include Computer Vision, Machine Learning and Biomedical Image Processing and his main focus is on Graphical Models specially Conditional Random Fields and Markov Random Fields. His PhD thesis topic is to introducing an efficient Bayesian inference with Stochastic Cliques for fully connected conditional random Fields.

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  • Company:University of Waterloo

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    University of Waterloo

    Artificial Intelligence (AI) is the notion of machines that exhibit intelligence and mimic cognitive functions that are usually associated with humans, such as learning, reasoning, predicting, planning, recognizing, and problem solving. With the advent of big data driven by the explosion of computing capacity and speed, AI tools are being increasingly integrated in technological solutions that are […]

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