You are here: American University College of Arts & Sciences Quality and Productivity Research Conference 2019

The 36th Annual Quality and Productivity Research Conference

June 10-13, 2019, at American University in Washington, DC

Theme: Data and Science is a Winning Alliance

June 10
One-Day Course: "Big data analytics: dealing with structured, semi-structured, and unstructured data"
June 11-13
The Quality and Productivity Research Conference

We invite researchers from academia, industry, and government to participate, exchange ideas, organize sessions, and present their research related to the spirit of Quality and Productivity Research Conference (QPRC).

See previous QPR Conferences.

Law School and Life Sciences Building

AU's East Campus at Nebraska and New Mexico Avenues with QPRC sites Constitution Hall and the Don Meyers Technology & Innovation Building.


The 36th Quality and Productivity Research Conference is sponsored by
National Science Foundation, where discoveries begin

  • JMP Statistical Discovery. From SAS
  • NISS: National Institute of Statistical Sciences
  • NIST: National Institute of Standards and Technology
  • Style Data
  • TriloByte Statistical Software
  • iManage .m

Conference Committee

Chair: Michael Baron,
American University Department of Mathematics & Statistics

  • Eric Chicken,
    Florida State University
  • Blan Godfrey,
    North Carolina State University
  • Will Guthrie,
    National Instritute of Standards and Technology
  • Nathalie Japkowicz,
    American University
  • Dan Jeske,
    University of California at Riverside
  • Alexandra Kapatou,
    American University
  • Latifur Khan,
    University of Texas at Dallas
  • Choudur Lakshminarayan,
    Teradata Labs
  • Jun Lu,
    American University
  • Di Michelson,
    SAS Institute
  • Nitis Mukhopadhyay,
    University of Connecticut
  • Jane Wall,
    American University
  • Xiao Wang,
    Purdue University
  • Emmanuel Yashchin,
    IBM T. J. Watson Research Center


Participants are invited to submit their work for a Special Issue of Applied Stochastic Models in Business & Industry. Interested authors will be asked to follow the Special Issue guidelines and submit papers for peer review process by December 31, 2019.

Special Issue Guidelines