Department of Computer Information Systems
and Management Science
College of Business, MSC 0202
James Madison University, 800 South Main Street
Harrisonburg, VA 22807
Email: wangpx@jmu.edu
Telephone & Voice: (540) 568-3055
1235 Sparrow Court
Harrisonburg, VA 22802
Telephone: (540) 433-6056
Email: wangpxva@hotmail.com
URL: http://cob2.jmu.edu/wangpx
FAX: (540) 568-3273
EDUCATION
Ph.D. The University of Georgia, Terry College of Business, Athens, Georgia, 12/1992.
Management Science/Information Technology/Production/Operations Management
MBA Appalachian State University, Walker College of Business, Boone, North Carolina, 2/1996
General Business Administration,
BS Northeastern University, Shenyang, Liaoning, People's Republic of China, February 1982
Mechanical Engineering,
ACADEMIC EXPERIENCE
Associate Professor, Information and Decision Sciences, Computer Information Systems/Operations Management Program, College of Business, James Madison University, Harrisonburg, VA (September 2000 to present)
Assistant Professor, Information and Decision Sciences, Computer Information Systems/Operations Management Program, College of Business, James Madison University, Harrisonburg, VA (September 1993 to August 2000)
Teach the following undergraduate and graduate courses in Computer Information Systems/Operations Management:
Database Design and Applications (Senior level)
Operations Management (MBA level)
Operations Planning and Control (Senior level)
Issues in Operations Management (Senior level)
Production and Operations Management (Junior level)
Total Quality Management (Junior and Senior level)
C Programming Language (Junior level)
Business Statistics (Freshmen/Sophomore level)
Assistant Professor, Department of Management, Northeastern University, Shenyang, Liaoning, People’s Republic of China (February 1982 to August 1985).
GRANTS, HONORS AND AWARDS
The 3rd Annual Provost Award for Excellence in International Education, March 16, 2006, $1,000.
Internationalization at Home Initiative Grant, JMU Office of International Programs, 2005-2006, $10,000
COB Teaching Grant, COB, Summer 2005
Entrepreneurship Grant, Summer 2005, COB Entrepreneurship Center
Primary Investigator, Portion of the Project Funded by Federal Highway Administration (FHWA) for the Integration Component of the Intelligent Transportation Systems (ITS) Deployment Program, 7/2003 – 1/2004 and 2004 to 2006.
Collaborator, Starr Collaborative Research Grants Program, The Starr Foundation, 2121 K St. NW, Suite 700, Washington, DC 20037, 2003-2004
Faculty – Student Research Grant, J. Willard and Alice S. Marriott Foundation Professional Development Awards, 2002
Summer Teaching Grant, College of Business, James Madison University, 2000
Bauman Faculty Development Award, CIS/OM Program, 1999
Summer Research Grant, College of Business, James Madison University, 1996
Small Business Grant, Developing Computer Applications for Small Business, 1995-1996
China National Natural Sciences Foundation, Research Grant for the Order Determination Quantity (ODQ) Project, January 1994 to December 1996, Co-researcher under Dr. Hu-Ming Zhang
Kroeber Faculty Development Fellowship, July 14, 1994 for 1994-1995 academic year
Computer Enhancement Grant, JMU Foundation, December 15, 1993
Goldratt Educational Grant, Avrahem Y. Goldratt Institute, September 1993
First Place Winner, Student Paper Competition, 26th Annual Meeting, Southeastern Chapter of The Institute of Management Sciences (SETIMS), Myrtle Beach, SC, October 1990
Alumni Fellowship, Appalachian State University, Boone, NC, Spring 1986
Outstanding Student, Northeastern University, Shenyang, Liaoning, P.R. China, 1979 to 1981
RESEARCH INTERESTS
Classification and Cluster Analysis, including mailing selections, fraud detections, recidivist identifications, and so forth; Mathematical programming, Artificial Neural Networks, and Forecasting and their applications.
PUBLICATIONS
1. Ping Wang and Greg G. Wang, Models and Practices to Enhance Non-profit Fundraising Successes, SEDSI 26th Annual Conference, Wilmington, NC, February, 2006
2. Ping Wang, Students Pull Statistical Knowledge through Projects with Student Data, Decision Science Institute 2005 Annual Meeting Proceedings, November 2005, San Francisco, CA, p. 17651-17656
3. Greg Wang, Ping Wang, Meiqi Fang, and Victoria Tuzlocova, A Cross-Culture Study of Internet-Based Learning Programs, Southeastern Chapter of Decision Sciences Annual Meeting Proceedings, February 2005, p.
4. Ping Wang and Tao Yang, No More Iron Bow, Transform Decades Old Product Development Practice with QFD, - A Case in a Chinese Heavy Machinery Company, Southeastern Chapter of Decision Sciences Annual Meeting Proceedings, February 2005, p.
5. Ping Wang, Students Pull Versus Instructor Push Approaches in Teaching Business, Southeastern Chapter of Decision Sciences Annual Meeting Proceedings, February 2005, p.
6. Ping Wang and Roger Glick, Response Time Analysis For A Rural Volunteer Emergency Medical Service (EMS) System, Decision Sciences Institute 2002 Annual Meeting Proceedings, November 2002, San Diego, CA, p 2178-2183.
7. Momiao Xiong, Jun Wang and Ping Wang, Differential-algebraic approach to linear
programming, Journal of Optimization Theory and Applications, Vol. 114, No. 2, August 2002, pp.443-470,.
8. Susan W. Palocsay, Ping Wang and Robert G. Brookshire. Predicting Criminal Recidivism Using Neural Networks, Socio-Economic Planning Sciences, The International Journal of Public Sector Decision Making, 2000, Vol. 34, Issue 4, pages 271-284.
9. Huming Zhang and Ping Wang. A New Way to Estimate Orders of Time Series, Journal of Time Series Analysis, United Kingdom, Vol. 15, No.5, September 1994, pages 545-559.
10. Ping Wang and Joanna R. Baker. Procedures to Improve the House List Segment Tests, Journal of Direct Marketing, Vol. 10, No. 2, Spring 1996, pages 24-35.
11. Momiao Xiong and Ping Wang. Weighted Neural Network Models for Nonlinear Regression with Fixed and Random Effects, Proceedings of Conference of World Congress on Neural Networks, San Diego, CA, June 3-10, 1994, pages III 478 – 482.
12. Momiao Xiong, Ping Wang, Jonathan Arnold, Antonie Stam and Hubert J. Chen. Hybrid Kohonen Self?Organizing Neural Network and Multilayer Feedforward Neural Network Model for Nonlinear Regression and Pattern Recognition, Proceedings of the Artificial Neural Networks in Engineering, (ANNIE '92) Conference, ASME Press Series on International Advances in Design Productivity, Intelligent Engineering Systems through Artificial Neural Networks, Vol.2, St. Louis, MO, November 1992, pages 439?444.
13. Momiao Xiong and Ping Wang. Learning Potential Function and Differential Inclusion, Proceedings of International Joint Conference on Neural Networks (IJCNN'92), The Institute of Electrical and Electronics Engineers (IEEE) and the International Neural Network Society (INNS), IEEE, Vol. I, Baltimore, MD, June 1992, pages 401?406.
14. Momiao Xiong, Ping Wang, Jonathan Arnold and Hubert J. Chen. Mathematical Model of Neural Learning, Proceedings of the Conference on Artificial Intelligence and Neural Networks, The International Society for Optical Engineering (SPIE), Orlando, FL, April 1992.
15. Momiao Xiong, Jun Wang and Ping Wang. Recurrent Neural Networks for Linear Programming with Continuous Trajectory, Proceedings of Decision Sciences Institute 1999 Annual Meeting, New Orlean, LA, November 1999.
16. Susan W. Palocsay, Ping Wang and Robert G. Brookshire. Neural Networks for Criminal Recidivism Prediction, 1998 Annual Proceedings, The American Society of Criminology, 50th Annual Meeting, Washington, DC, November 1998, page 174.
17. Antony E. Bopp, Kirk Elwood and Ping Wang. Forecast Comparisons for US Motor Gasoline Prices, Proceedings of Decision Sciences Institute 1997 Annual Meeting, San Diego, CA, November 1997.
18. Ping Wang, Joanna R. Baker, James F. Cox, III, and Paul Pittman. Improving Forecasting Decision with Neural Networks, Proceedings of Decision Sciences Institute1995 Annual Meeting, Boston, MA, November 1995, page 1078.
19. Ping Wang, Momiao Xiong and Joanna R. Baker. Forecasting Advertising and Sales by a Neural Network Model, Proceedings of Decision Sciences Institute 1994 Annual Meeting, Honolulu, HI, November 22-24, 1994, page 676.
20. Momiao Xiong, Ping Wang, Jonathan Arnold and Hubert J. Chen. Measurement Error Model Estimation Using Cluster Analysis and Unconstrained Optimization, Proceedings of the 23rd Annual Meeting of Decision Sciences Institute, San Francisco, CA, November 1992.
21. Ping Wang, Momiao Xiong and Susan W. Palocsay, “Identify Predictor Variables by Feature Wrappers in Classifying Criminal Recidivism,” Proceedings of Southeastern Chapter of Institute of Operations Research and Management Science (SEINFORMS), Myrtle Beach, SC, Oct. 2001.
22. Susan W. Palocsay, Ping Wang and Robert G. Brookshire. An Experimental Investigation of Neural Network Connection Weights, Submitted to Southeast Decision Sciences Institute Annual Meeting 2000.
23. Ping Wang, Susan W. Palocsay, Robert G. Brookshire, and Youcheng Zhang. Practical Issues in Using Neural Networks in Classification Problems, Proceedings of Southeast Decision Sciences Institute 29th Annual Meeting, Savannah, GA, February 1999, page 320.
24. Vijay Kannan and Ping Wang. On Campus Consulting: Killing Two Birds with One Stone, Proceedings of Proceedings of Southeastern Chapter of InfORMS 1998 Annual Meeting, October 1998, pages 342-344.
25. Ping Wang. How Do Small Business Go for ERP? Proceedings of Proceedings of Southeastern Chapter of InfORMS 1998 Annual Meeting, October 1998.
26. Ping Wang, Susan W. Palocsay and Robert G. Brookshire, Pamela K. Lattimore, and Joanna R. Baker. A Combined Model to Predict Criminal Recidivism, Proceedings of The Twenty-Eighth Annual Meeting, Southeast Region of the Decision Sciences Institute, Roanoke, VA, February 1998, pages 82-84.
27. Susan W. Palocsay, Ping Wang, Robert G. Brookshire, Pamela K. Lattimore, and Joanna R. Baker. Criminal Recidivism Prediction Using Neural Networks, Proceedings of Southeastern Chapter of InfORMS 1997 Annual Meeting, Myrtle Beach, SC, October 1997, pages 421 – 423.
28. Ping Wang, Faye Teer, Halrold Teer and Xueyan Su. A Synthesized Approach to Market Response Modeling, Proceedings of Southeastern Chapter of InfORMS 1997 Annual Meeting, Myrtle Beach, SC, October 1997, pages 337 – 339.
29. Michael E. Busing and Ping Wang. A Simulation Model to Improve Warehouse Productivity, Proceedings of Southeastern Chapter of InfORMS 1997 Annual Meeting, Myrtle Beach, SC, October 1997, pages 371 – 373.
30. Ping Wang. Comparative Studies of Market Segmentation Procedures on House List, Proceedings of Southeastern Chapter of InfORMS 1997 Annual Meeting, Myrtle Beach, SC, October 1997.
31. Chang Liu, Chun-Sheng Yu and Ping Wang. Integrating Group Decision Support Systems (GDSS) with Total Quality management (TQM), The Proceeding of 31st Annual Meeting Southeastern Chapter of The Institute for Management Sciences (SETIMS), Myrtle Beach, SC, October 1995, pages 376-378.
32. Ping Wang and Huming Zhang. ODQ, A New Tool for Time Series Forecasting, Proceedings of The Twenty-fifth Silver Anniversary Meeting, Southeast Region of the Decision Sciences Institute, Wilmington, NC, February 1995, pages 317-319.
33. Ping Wang and Momiao Xiong. A Comparison of Two Dynamic Back?Propagation Learning Rules, Proceedings of 22th Annual Meeting, Southeast Decision Sciences Institute (SEDSI), Savannah, GA, February 1992.
34. Ping Wang and Momiao Xiong. An Neural Network Model and Its Applications in Forecasting, Proceedings of the 27th Annual Meeting, Southeastern Chapter of The Institute of Management Sciences (SETIMS), Myrtle Beach, SC, October 1991, pages 175?177.
35. Ping Wang. Arithmetic Edits for Erroneous Categorical Data, Proceedings of the 26th Annual Meeting, Southeastern Chapter of The Institute of Management Sciences (SETIMS), Myrtle Beach, SC, October 1990, pages 361?363.
PRESENTATIONS
Ping Wang, Faye Teer and Halrold Teer. An Exploratory Study: Utilizing A Self-Organizing Neural Network to Segment the House List and Estimate Segment Level Response, Decision Sciences Institute 1998 Annual Meeting, Lad Vegas, NV, November 1998.
Ping Wang and Momiao Xiong. A Synthesized Approach to Market Response Modeling, Institute for Operations Research and The Management Sciences (InfORMS), Dallas, TX, October 1997.
Ping Wang, Faye Teer and Halrold Teer. An Exploratory Study for Segment-Utilizing a Hybrid Procedure to Segment house List and Estimate Segment Level Response, Direct Marketing Educational Foundation Educators' Conference, Chicago, IL, October 1997.
Ping Wang, Susan W. Palocsay, and Joanna R. Baker. Forecasting & Scheduling for 911 Call Centers, Institute for Operations Research and The Management Sciences (InfORMS), Washington, DC, May 1996.
Susan W. Palocsay, Ping Wang, Joanna R. Baker, and Pamela K. Lattimore. Predicting Criminal Recidivism: Methods & Discussion, Institute for Operations Research and The Management Sciences (InfORMS), Washington, DC, May 1996.
Ping Wang and Joanna Baker. Procedures to Improve the House List Segment Tests, Educator’s Conference, Direct Marketing Educational Foundation, Inc., Dallas, TX, October 1995.
Anthony Bopp, Kirk Elwood and Ping Wang. Comparisons of Alternative Time Series Forecasts of U.S. Motor Gasoline Prices: Statistical and Neural Network Methods, Seventh Annual Federal Forecasters Conference, Arlington, VA, November 15, 1994.
Hu-Ming Zhang and Ping Wang. A New Way to Estimate Orders in Time Series Analysis, IMS/Bernonlli Society Conference, Chapel Hill, NC, June 20-26, 1994.
Ping Wang, K. Roscoe Davis and Huming Zhang. Improved Forecasting Accuracy for ARMA Models by ODQ, The Fourth Annual Meeting of the Production and Operations Management Society (POMS'93), Boston, MA, October 1993.
Momiao Xiong, Ping Wang, Jonathan Arnold and Hubert J. Chen. Neural Networks Model for Global Constrained Optimization, The Institute of Management Sciences and Operations Research Society of America (TIMS/ORSA) Joint National Meeting, Orlando, FL, April 1992.
Ping Wang, Momiao Xiong, Jay E. Aronson and Patrick G. McKeown. Nonlinear Multivariate Time Series Forecasting Based on Neural Networks,The Institute of Management Sciences and Operations Research Society of America (TIMS/ORSA) Joint National Meeting, Orlando, FL, April 1992.
Momiao Xiong, Ping Wang, Hubert B. Chen and John Blackstone. Adaptive Recurrent Neural Network for Nonlinear Time Series, Symposium of Interface'91 between Computing Sciences and Statistics, Seattle, WA, April 1991.
Momiao Xiong, Ping Wang, Jonathan Arnold and Hubert J. Chen. Identification and Control of Dynamic Systems Using Normalized Spline Neural Networks, The 54th Annual Meeting of the Institute of Mathematical Statistics (IMS), Atlanta, GA, August 1991.
OTHER PROFESSIONAL EXPERIENCE
President, Washington DC Chapter of Overseas’ Chinese Entrepreneur Association (OCEAN-DC),
September 2005 to present
Senior Marketing Scientist, The Franklin Mint, Franklin Center, PA, January 1993 to August 1993.
Developed Neural Network based mailing selection systems and tested on various direct mailing lists. Tested various sampling schemes for mailing selections.
Programmer and Data Analyst, Survey Research Center, The University of Georgia, Athens, GA, August 1988 to December 1988.
PROFESSIONAL CERTIFICATES
Certified in Production and Inventory Management (CPIM), American Production and Inventory Control Society, March 1993
Academic Associate (Jonah), Avraham Y. Goldratt Institute, July 1991
PROFESSIONAL AFFILIATIONS
American Production and Inventory Control Society (APICS)
Decision Science Institute (DSI)
The Institute of Operations Research and Management Sciences (InfORMS)
PROFESSIONAL DEVELOPMENT
SAPPHIRE 1999, Philadelphia, PA, September, 1999
SAP University Alliance Program Curriculum Congress, Chicago, IL, March 1999
Researcher and Authors Institute, Direct Marketing Educational Foundation, Inc., June 1997
HONOR SOCIETIES
Delta Sigma Pi, Initiated into Iota Kappa Chapter, College of Business, James Madison University, 1994
Beta Gamma Sigma, The Honor Society for Collegiate School of Business, Association of College Honor Societies, 1993