Prof. Dr. Gary Weckman

Dr. Weckman’s industrial engineering degrees include the PhD from the University of Cincinnati, and a masters and bachelors from the University of Louisville. His primary research focus has been multidisciplinary applications utilizing knowledge extraction techniques with artificial neural networks (ANN). He has used ANNs to model complex systems such as large scale telecommunication network reliability, ecological relationships, stock market behavior and industrial process scheduling. His research has appeared in numerous journals and conferences with over 100 peer reviewed publications. 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 over 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. Weckman was elected to the Tau Beta Pi and Alpha Pi Mu Honor Societies, and is an IARIA fellow. He is also a member of Institute of Industrial Engineers, American Society of Safety Engineers, Institute of Electrical and Electronics Engineers (IEEE), and is a State of Texas Professional Engineer.