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Chair and Professor, Department of Statistics, Actuarial and Data Sciences (launched July 2019)     
Central Michigan University 
Mt. Pleasant, MI 48859

Teaching is to give people HOPE

Learning is by DOING

Presentation, Haimo Award, MAA, 1/18/19



        ICOSDA 2019: Join us at the 2019 International Conference on Statistical Distributions and Applications (ICOSDA2019): From October 10 to 12, 2019, Grand Rapids, MI USA.


        Interested in M.S. in Data Science? Visit our graduate program in Data Science: M.S. in Applied Statistics & Analytics at Central Michigan University. See the web site: Application for Admission & Support.


        Call for manuscript submission: Journal of Statistical Distributions and Applications. Visit the journal web site at

Journal of Statistical Distributions and Applications is a SpringerOpen refereed journal that publishes high quality papers related to statistical distributions, modeling and applications.




Office Phone: (989)774-3555

RESUME (updated July, 2019)

I received a Ph.D. in Statistics in 1984 from the Department of Statistics, Iowa State University.  Currently, I am a full professor of statistics in the Department of Mathematics, and serve as the program director for the Data Mining/Analytics program at Central Michigan University. I am a Dow Chemical Six Sigma Black Belt. My current research interest are statistical distributions, modeling and applications, data mining/analytics and applications, statistical education on the effectiveness of active learning and flipped classes.


Awards, Honors and Distinctions

Beyond University:

         2019: The Deborah and Franklin Tepper Haimo Award for distinguished teaching award of Mathematics and whose teaching effectiveness has had significant influence beyond university, Mathematical Association of America.

        2017: Distinguished Teaching Award, Mathematical Association of America, Michigan Section.

        2014: The Central Michigan University Nominee for the U.S. Professors of the Year award sponsored by CASE and the Carnegie Foundation for the Advancement of excellence in teaching and mentoring.

        2014: The Central Michigan University Nominee for the 2014 Distinguished Professor of the Year Award, the State of Michigan.

        2008: Elected Fellow, American Statistical Association for outstanding contributions to statistical profession.

         2007: First Place, the International Quality Improvement Project Competition in Education, American Society of Quality.  

The project title: Six Sigma project for improving mathematics placement at CMU.

        2006: Certified Six Sigma Black Belt by the Dow Chemical Company.

        2004: Distinguished Leadership Award in the Field of Statistical Education and Applied Statistics.

        2001: Outstanding Service Award, American Statistical Association.

        1998: Elected Member of the International Statistical Institute.

Within University

        2016: University Distinguished Service Award, Central Michigan University

        2016: College Outstanding Service Award, College of Science & Engineering, Central Michigan University

        2014: College Outstanding Research Award, College of Science & Technology, Central Michigan University

        2009: College Outstanding Teaching Award, College of Science & Technology, Central Michigan University

        2006: University Presidential Research Award for outstanding scholarly activity achievement, Central Michigan University

Ph.D. in Mathematical Sciences with Concentration in Statistics

The program offers teaching internship for students choosing career in collegiate career and industrial internship for students choosing career in industry.

M.S. in Applied Statistics & Analytics

The program has two tracks: Applied Statistics and Big Data Analytics. Two year program. Internship is required. Two SAS professional certificate exams are offered on campus.

Graduate Certificate Program in Data Mining  

 Our program integrates data mining and GIS in the curriculum. Two SAS professional certificate exams are offered on campus.


The 3rd International Conference on Statistical Distributions and Analytics October 10 to 12, 2019 at Eberhard Conference Center, Grand Rapids, Michigan. Three Keynotes and six Plenary speakers: David Bank, Grace Yi, Scott Vander Wiel, Patrick Wolfe, Susmita Datta, Tailen Hsing, Jana Jureckova, John Preisser and Paul Gustafson

Real-Time Online Database for Hands-on Activities

This NSF supported real-time hands-on activities is designed to give students opportunity to solve hands-on problems that mimic the entire process of solving real-world problems.


Journal of Statistical Distributions and Applications. Publish high quality papers related to distributions and applications published by Springer. It is cited by SCOPUS

CAUSE Website  

An undergraduate statistics education information portal developed and managed by the Consortium for the Advancement of Undergraduate Statistics Education.

USPROC (Undergraduate Statistics Project Competition)

If your students conduct projects, this is an opportunity for them to compete and win awards.

SPSS Online Training Workshop 

Visit one of the most popular online training workshop to learn how to use SPSS for data analysis.

Job rating in 2018

Data Scientist, Statistician Actuary, Mathematician are among the top ten best jobs.


Courses Taught


 Introductory Statistics

Elementary Statistical Analysis

Introduction to Statistics - Online

Applied Statistical Method I


 Applied Statistical Methods II - Senior/Graduate

Mathematical Statistics I - Senior/Graduate

Mathematical Statistics II - Senior/Graduate

Six Sigma Strategy and Implementation - Senior/Graduate


Statistical Quality Improvement - Senior/Graduate

Design of Experiments - Senior/Graduate

Multivariate Analysis and Applications - Graduate Level

Theory of Statistical Inference - Graduate


Statistical Programming and Data Management -Senior/graduate

Advanced Statistical Programming for Data Management and Analysis -Graduate

Linear Models - Graduate

Generalized Linear Models - Graduate


Data Mining Techniques Senior/graduate

Advanced Data Mining Techniques - Graduate




Teaching Philosophy

Pace Model