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Gary Weckman

Associate Professor
Industrial and Systems Engineering
STKR 275
weckmang@ohio.edu
Phone: 740.593.1548

https://sites.google.com/site/garyweckman/home

Before joining the Ohio University faculty in 2002 as an associate professor in Industrial and Systems Engineering, Dr. Weckman was a faculty member at Texas A&M University-Kingsville for six years. He has also practiced industrial engineering for more than 12 years at such firms as General Electric Aircraft Engines, Kenner Products and The Trane Company. During his varied career, he has had a number of different technical responsibilities, which involved developing and implementing various decision support and forecasting systems and techniques. He is currently living in Athens, Ohio, with his wife, Jan, and two children, Brad and Nick.


Research Interests: Artificial Neural Networks, Safety and Health Engineering, Decision Support, Intelligent Systems,

All Degrees Earned: Ph.D., Industrial Engineering, University of Cincinnati, 1996. M.E., Industrial Engineering, 1980, University of Louisville, Louisville, Kentucky B.S., Industrial Engineering, 1979, University of Louisville, Louisville, Kentucky

Publications:

William A. Young II, Gary R. Weckman, Maimuna H. Rangwala and Harry S. Whiting II, Helmut W. Paschold, Andrew H. Snow and Chad L. Mourning, An investigation of TREPAN utilising a continuous oracle model, Int. J. Data Analysis Techniques and Strategies, Vol. 3, No. 4, 2011 325-352.

Millie, D. F., Weckman, G. R., Young, W. A., Ivey, J. E. & Fahnenstiel, G. L. Submitted 6/2011. Modeling algal abundance with artificial neural networks: demonstration of a heuristic, ‘Grey-Box’ technique to deconvolve and quantify environmental influences. Environmental Modeling & Software

Young, W. A. II, Millie, D. F., Weckman, G. R., Anderson, J., Klarer, D. M., & Fahnenstiel, G. L. 2011. Modeling net ecosystem metabolism with an artificial neural network and a bayesian belief network. Environmental Modeling & Software 26: 1199-1210.

Millie, D. F., Fahnenstiel, G. L., Weckman, G. R., Klarer, D. M., Dyble Bressie, J., Vanderploeg, H. A., & Fishman, D. 2011. An ‘enviro-informatic’ assessment of Saginaw Bay (Lake Huron USA) phytoplankton: characterization and modeling of Microcystis (Cyanophyta). Journal of Phycology 47: 714-730.

Holland, W., Young, W., & Weckman, G. (2011) Facility RFID Localization System based on Artificial Neural Networks, International Journal of Industrial Engineering - Theory, Applications, and Practice (IJIETAP), Vol. 18. Iss. 1, pp. 16-24

Awards:

• 2010 Awarded IARIA Fellows is in recognition for:
* outstanding scientific research results endorsed by international peers
* exceptional scientific contribution to the IARIA events
* continuous leadership roles in IARIA conferences

• University of Louisville (UL) Professional Award in Engineering: an alumnus award for my dedication to students and understanding research. –2007

• Industrial and Systems Engineering Department Research Award - 2007

• Industrial and Systems Engineering Department Research Award - 2006

• University of Cincinnati: Finalist in the 1996 Graduate Assistant Teaching Award.