College of Engineering

Industrial Engineering

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Dingxi Qiu

Dingxi Qiu

Assistant Professor

McArthur Engineering Building, Room 276
University of Miami
P.O. Box 248294
Coral Gables, FL 33124-0620
(305) 284 2371

dingxi@miami.edu



EDUCATION TEACHING RESEARCH PUBLICATIONSTEACHING HONORS PROFESSIONAL ORGANIZATIONS 


EDUCATION:

Ph.D. Industrial Engineering & Management Sciences, Northwestern University, 2007
M.S.  Industrial Engineering, University of Alabama
M.S. Systems Engineering, Nanjing University of Science & Technology
B.S.  Statistics, Nanjing University of Science & Technology

TEACHING:
IEN 310 Introduction to Engineering Probability

RESEARCH:
Applied Statistics, Data Mining, Simulation, Quality Engineering

PUBLICATIONS:
Dingxi Qiu, Ajit C. Tamhane 2007, “A Comparative Study of the K-means Algorithm and the Normal Mixture Model for Clustering: Univariate Case”, Journal of Statistical Planning and Inference, 137, 3722-3740.

Dingxi Qiu, Edward C. Malthouse, “Cluster Analysis with Latent Class Model”, book chapter for “Encyclopedia of Data Warehousing and Mining (2nd Edition)”, Accepted for publication.

WORKING PAPERS
Ajit C. Tamhane, Dingxi Qiu, Bruce E. Ankenman, “Latent Class Analysis for Clustering Multivariate Correlated Bernoulli Data”, under revision.

Edward C. Malthouse, Dingxi Qiu, “Quantifying the Indirect Effects of a Marketing Contact”, submitted for publication.

Dingxi Qiu, “A Comparative Study of the K-means Algorithm and the Normal Mixture Model for Clustering: Bivariate Homoscedastic Case”, working paper.

HONORS
Direct Marketing Educational Foundation’s (DMEF) Best Doctoral Candidate Paper Award, 2007
Northwestern University Graduate Conference Travel Grants, 2004, 2005, 2006
Alpha Pi Mu Honor, The University of Alabama, 2001
Leader, National QC Competition Team Prize, Shanghai Bell Co., Ltd, 1999
Outstanding Graduate Student, Nanjng University of Science & Technology, 1998

PROFESSIONAL ORGANIZATIONS:
Institute for Operations Research and Management Sciences (INFORMS)
American Statistical Association (ASA)
Direct Marketing Educational Foundation (DMEF)