Ning Zheng

Industrial, Welding and Systems Engineering Department

The Ohio State University

56 W 10th Ave Apt C, Columbus, OH 43201

Telephone: (614)429-0300

Email: [email protected]

Ph. D. The Ohio State University, Columbus, OH, August 2007 (expected).

Department of Industrial, Welding and Systems Engineering,

Major Field: Operations Research

Minors Fields: Statistics, Computer Science

Dissertation: Efficient High Profit Information Analysis via Search Engine Optimization

Dissertation Committee: Theodore T. Allen (Chair), Hakan Ferhatosmanoglu, William Notz

GPA: Major 4.0, Overall 3.96

M. S. The Ohio State University, Columbus, OH, March 2005.

Thesis Title: Subset Selection and Optimization for Selecting Binomial Systems Applied To Supersaturated Design Generation

GPA: Major 4.0, Overall 3.94

B. E. Tsinghua University, Beijing, China, July 1999

Honors: University Scholarships, Outstanding Student (5 out of 120) (1995-1998)

Research Interests

Optimal Design of Experiments, Data/Text mining, and Database Systems

Publications

1.      N. Zheng, M. Gibus and H. Ferhatosmanoglu. A Processing Framework for Model-Based Optimization Queries, Working paper.

2.      D. Huang, T. T. Allen, W. I. Notz, and N. Zheng. Global Optimization of Stochastic Black-Box Systems via Sequential Kriging Meta-Models, Journal of Global Optimization. 34(3). 441-466. 2006.

3.      J. R. Schenk, D. Huang, N. Zheng and T. T. Allen. Multiple Fidelity Simulation Optimization of Hospital Performance under High Consequence Event Scenarios, In Proceedings of the 2005 Winter Simulation Conference.

4.      N. Chantarat, N. Zheng, T. T. Allen, and D. Huang. Optimal Experimental Design for Systems Involving Both Quantitative and Qualitative Factors, In Proceedings of the 2003 Winter Simulation Conference.

Lecturer, The Ohio State University, Industrial, Welding & Systems Engineering Department (2006-2007)

Taught ISE509/709: Statistical Quality Control & Quality Management Systems and Six Sigma Methodology. A course for Graduate and Undergraduate seniors, Class size: 60.

Graduate Teaching Assistant, The Ohio State University, Industrial, Welding & Systems Engineering Department (2005-2006)

Tutored and assisted course design for two courses, ISE509/709 and ISE610, in five quarters. Both class sizes are 60.

Taught two lectures for ISE509/709.

1.      Fast Optimal DOE Using Search Engine Technology, INFORMS National Conference, Pittsburgh, Pennsylvania, November 2006.

2.      A Simulation Optimization Method for Maximizing Success Probabilities, Invited presentation. INFORMS National Conference, San Francisco, California, November 2005.

1.      N. Zheng, T. T. Allen and H. Ferhatosmanoglu. Efficient high profit data identification and search.

2.      N. Zheng, T. T. Allen. Optimal experimental designs with mixture variables in Generalized Linear Models.

3.      T. T. Allen, N. Zheng, and D. Lin. New supersaturated designs applied to Google ad campaign.

4.      S-H Tseng, N. Zheng and T. T. Allen. Optimal Design of Experiments with Random-Effect Factors.

Independent Consultant, Alliance Community Hospital, Internal Consulting Department, Alliance, OH, Summer 2005

− Proposed and contributed in the Pharmacy Distribution and Administration Process Improvement project for the hospital.

− Identified critical safety and efficiency factors in the process and improved safety level via Six Sigma approach.

Graduate Research Associate, The Ohio State University, Industrial, Welding & Systems Engineering Department (2002-2004)

− Design of Experiments (DOE): Planned 5 major applications of DOE relating to orbital aluminum arc welding engineering, thin tube hydro forming, food science, and wood products manufacturing:

− Contributed to the reduction of porosity related defects at a major power company by clarifying the limitations of variable polarity power supplies.

− Made several experiments cost feasible by using advanced design of experiments techniques by reducing the number of test runs needed while maintaining good prediction accuracy compared with standard DOE methods.

− Optimization Under Uncertainty (OUU): Developed innovative OUU methods using visual C++ 6.0 with potential applications in feed-forward control, the design of new statistical methods, and many other areas.

− Improved and implemented a variant of Genetic Algorithm incorporating a statistical subset selection procedure (SSSEGA), which guarantees long-run convergence to a near global optimal solution.

− Built an ARENA Discrete Simulation Model for a manufacturing system, designed an optimal DOE for it using SSSEGA, and analyzed the output using Response Surface Method (RSM).

− Implemented Revised Simplex Search (RSS) method for computational comparisons between RSS, sequential kriging meta-modeling (SKM) method and Simultaneous Perturbation Stochastic Approximation (SPSA) method.

Research Associate, Institute of Manufacturing Engineering, Tsinghua University, Beijing, China, (1999-2002)

− Played the major role to migrate a CAPP System implementation of Concurrent Engineering from UNIX to Windows platform using Borland C++ Builder 5.0.

− Contributed to an enterprise resource management web design based on XML.

Intern, Tianjin NWY casting Corp. Tianjin, P. R. China. Summer 1998.

− Performed die casting process evaluation and analysis of related defects.

Reviewer - International Conference on Data Engineering (ICDE) 2007.

Reviewer - Journal of Manufacturing Systems.

Student Member - The Institute for Operations Research and the Management Sciences (INFORMS).