Georgia Institute of Technology will host the first workshop on Statistical Perspectives of Uncertainty Quantification (SPUQ) in Atlanta, GA on May 29-30, 2017. The workshop will be held at the Georgia Tech Hotel and Convention Center. The details for registration, hotel accommodation, program, posters, and scholarships can be found in the workshop website: http://pwp.gatech.edu/spuq-2017
Uncertainty Quantification (UQ) is an emerging topic which encompasses computational, mathematical, and statistical methods for characterizing uncertainties involved in complex models. The objectives of the workshop are to bring together diverse ideas from the statistics community on UQ and to narrow the gap between UQ research in statistics and applied mathematics.
The workshop will consist of non-parallel sessions with presentations from eminent researchers who have made fundamental contributions to the field as well as selected young researchers. The presentations will focus on both methodology and applications of UQ. A poster session will be arranged to feature the research of other participants of the workshop. A limited number of scholarships are available to support the travel of doctoral students and young researchers.
Please contact one of the organizers below if you need additional details.
V. Roshan Joseph (roshan@gatech.edu), Co-Chair
David Higdon (dhigdon@vbi.vt.edu), Co-Chair
Matthew Plumlee (mplumlee@umich.edu)
Peter Qian (peter.qian@wisc.edu)
Benjamin Haaland (bhaaland3@gatech.edu)
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V. Roshan Joseph
Georgia Institute of Technology
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