Workshop on the Current Trends and Challenges in Data Science and Uncertainty Quantification, Purdue CCAM, 2018

Department of Mathematics, Purdue University, Mar 31, 2018

Purdue University

Purdue Math

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
305 N. University Street, West Lafayette, IN 47907

(Map. Parking lot across street during the weekend.)

 

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