The Prague Computer Science seminar coorganized by Department of Computer Science, presents
Data assimilation in high and infinite dimension by Jan Mandel
Thursday, May 28, at 4 p.m. in Auditorium S5, MFF UK (Malostranské nám. 25, Praha 1).
Data assimilation combines the state of a model with incoming data by solving an inverse problem to balance the uncertainty between them. Data assimilation is used in applications from computer vision and remote sensing to weather forecasting.
More about the lecturer:
Jan Mandel is Professor and Chair at the Department of Mathematical and Statistical Sciences, University of Colorado Denver. His early work was in areas including discrete optimization, transonic flows, variational inequalities, and aggregation in input-output economic models, which led him to multigrid and domain decomposition methods for partial differential equations. His current interests include design and mathematical analysis of data assimilation algorithms, modeling of wildfires, remote sensing, and assimilation of satellite data. His research has been funded by the National Science Foundation, NASA, and Czech Science Foundation. He published over 150 papers in journals, books, and proceedings.