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Winter School in Imaging Science
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OverviewThis winter school in Imaging Science will include a combination of in-depth tutorials and mini-courses aiming to train M.S/Ph.D. students and researchers by providing insight into the various interfaces among mathematical theories, scientific computation, and the visualization of real-world problems. The courses will be delivered by world-renowned experts from both academia and industry. The winter school will include the topics below.
1. Mathematical Model: A. Understand underlying physical phenomena and the constraints imposed on inverse problems; understand mathematical models, which usually involve the process of information loss B. Understand what is measurable using available engineering techniques; understand and analyze the practical limitations associated with measurement noise, the interface between a target object and an instrument, data acquisition times, and other factors C. Formulate problems in such a way that they can be addressed systematically and quantitatively 2. Develop computer programs and properly address critical issues by solving inverse problems 3. Validate the results by simulations and experiments in terms of robust reconstructions of pertinent parameters 4. Create software for visualizations Poster
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