Gang Han (韩刚)

Ph.D.

Department of Statistics, The Ohio State University

Email: ‘hangang at stat dot osu dot edu’ / ‘han dot 191 at osu dot edu’

Tel: 614.292.5373 (office); Fax: 614.292.2096

I received my Ph.D. in statistics at the Ohio State University. My research lies in the statistical design and modeling of complex computer outputs. This research interest includes Bayesian analysis, statistical learning and data mining, spatial statistics, statistical computing, and experimental design. The result of my research has been applied to pre-clinical studies and biomechanical engineering research at Cornell University hospital for special surgery. I have been working as research assistant, teaching assistant, statistical consultant, and the student co-presidentin the department of statistics at the Ohio State University. I spend most of my free time on sports, reading, traveling, and hanging out with friends.

This website contains some of my research and personal information. You can find my Curriculum Vitae, education background, thesis research materials, and research/teaching/consulting experience, as well as some links related with my work and interest.

Curriculum Vitae

Education

B. S., Computer Science, BeijingUniversity of Technology, 1999—2003

M. S., Statistics, TheOhio State University, 2003—2005

Ph. D., Statistics, the Ohio State University, 2005—2008

Dissertation Adviser: Dr. ThomasJ. Santner and Dr. William I. Notz

Dissertation Title: Modeling Output from Computer ExperimentsHaving Quantitative and Qualitative Input Variables and Its Application

Thesis research

The links below have some of my research reports/presentation slides.

·Thesis abstract

· Publications

Han, G., T. J. Santner,W. I. Notz, and D. L. Bartel (2009). Prediction for Computer Experiments Having Quantitative and Qualitative InputVariables. Technometrics, Vol. 51, No. 3: 278–288..

Han, G., T. J. Santner (2009). Simultaneous Determination of Calibration and Tuning Parameters . To appear, Technometrics..

Gang Han, William I. Notz, and Thomas J. Santner (2009). Modeling Computer Experiments Having Quantitative and Qualitative Input Variables---An Analysis of Variance Kriging Approach

Gang Han (2009). Calibration for Computer Experiments Having Quantitative and Qualitative Mixed Inputs

·In books

Luo, Y., Zhu, Y., Wang, H., Liu, X., Han, G. (2005). The Assessment of the Availability of the Technical Innovation of High-tech, Small, and Medium Sized Enterprises in China. inResearch on R\&D Resources Collocation in National Innovation System,Scientific and Technical Documents Publishing House, 225--301.

· Selected slides

1), INFORMS Meetings, 2009;

2), Joint Statistical Meetings, 2009;

3), Joint Statistical Meetings, 2008;

4), Joint Statistical Meetings, 2007;

5), SAMSI, Kickoffworkshop, 2006;

6), Joint Statistical Meetings, 2005.

Researchexperience

Teachingexperience

I taught an elementary statistics class (stat 135) in Spring 2007. I was a teaching assistant in thedepartment computer lab from Autumn 2004 to Spring 2005.

 ·Stat 135 (Spring 2007)

 · Computer support of thedepartment of statistics at the Ohio State University (Autumn 2004 – Spring2005)

Consulting experience

I worked with Dr. KeithWarren from the school of social work in summer 2004. We compared thelongitudinal data in the Family and School Together(FAST) program with the data in another program to diagnose theirstatistically significant discrepancy.     

Links, resources, and articles

·The department of Statistics at the Ohio StateUniversity

·The American Statistical Association

·The MATLAB PERK User's Guide (the program is availeble upon request). While the program has been written in good faith, the authors are not responsible for any errors that it may produce.

·Dictionary.com

·Cobuilt concordance and collocation

·British natinal corpus

·The literature network

·Some Latex symbols from artofproblemsolving.com

·Area codes from wikipedia