Data & UQ '18
Purdue
Workshop
on the Current Trends and Challenges in Data Science and Uncertainty
Quantification, Purdue CCAM, 2018
Department of Mathematics, Purdue University, Mar 31, 2018
Data & UQ '18
Purdue |
Purdue CCAM
(Center for Computational & Applied Mathematics) is hosting a Workshop on
Current Trends and Challenges in Data Science and Uncertainty Quantification
on Saturday, Mar 31, 2018. The location is: LAWSON 1142, Department of Computer Science The purpose of the workshop is to discuss and exchange
ideas on topics related to data science, uncertainty quantification,
structured methods for advanced machine learning algorithms, big data
analysis, model reduction and high-performance data analysis, related
applications, and other relevant subjects. The organizers are Jie Shen and Guang
Lin. Invited Speakers ·
Mihai Anitescu, Argonne National Laboratory ·
Yalchin Efendiev, Texas A&M University ·
Shi Jin, University of Wisconsin ·
Georgios Karagiannis, Durham University ·
Akil Narayan, University of Utah ·
Ralph Smith, North Carolina State University ·
Dongbin Xiu, Ohio State University Contributed Speakers Hessam Babaee,
University of Pittsburgh Ilias
Bilionis, Purdue University Huan Lei,
Pacific Northwest National Laboratory Sorin Mitran, University of
North Carolina at Chapel Hill |