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Young, William

O'Bleness Associate Professor; Director, Online MBA; Director, Online MBAn

Analytics & Information Systems Department
CBA 344
740-593-2041
youngw1@ohio.edu
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Education

  • Ph.D., Mechanical and Systems Engineering, Ohio University, 2010
  • M.S., Electrical Engineering, Ohio University, 2005
  • B.S., Electrical Engineering, Ohio University, 2002

Research Interests

  • Operation Management
  • Operations Research
  • Predictive Analytics
  • Prescriptive Analytics

Publications

  • Sadeghi, A., Younes Sinaki, R., Young, W., & Weckman, G., (2020) An Intelligent Model to Predict Energy Performances of Residential Buildings Based on Deep Neural Networks, Energies: Special Issue: Optimal Design and Operation of Sustainable Energy Systems, 13(3), 571-594
  • Ghalehkhondabi, I., Ardjmand, E., Young, W. & Weckman, G. (2019) A Review of Demand Forecasting Models and Methodological Developments within Tourism and Passenger Transportation Industry, Journal of Tourism Futures (JTF), Vol. 5, Iss. 1, pp. 75-93
  • Ardjmand, E., Bajgiran, O. S., Rahman, S., Weckman, G. & Young, W. (2018) A Multi-Objective Model for Order Cartonization and Fulfillment Center Assignment in the E-tail/Retail Industry, Transportation Research Part E: Logistics and Transportation Review (TRLTR), Vol. 115, pp. 16–34
  • Kayaalp, N., Weckman, G., Young, W., Millie, D., & Celikbilek, C., (2017) Extracting Customer Opinions Associated with a Feature by Using a Sentence Segmentation Approach, International Journal of Business Information Systems (IJBIS), Vol. 26, No. 2, pp. 236-260
  • Ardjmand, E., Weckman, G., Young, W., Bajgiran, O., & Aminipour, A. (2016) A Robust Optimization Model for Production Planning and Pricing under Demand Uncertainty, International Journal of Production Research (IJPR), Vol. 54, Iss. 13, pp. 3885-3905
  • Ardjmand, E., Young, W., Weckman, G, Bajgiran, O., Aminipour, B., Park, N. (2016) Applying Genetic Algorithm to a New Bi-Objective Stochastic Model for Transportation, Location, and Allocation of Hazardous Materials, Expert Systems with Applications (ESWA), Vol. 51, Iss. C, pp. 49-58
  • Young, W., Nykl, S., Weckman, G. & Chelberg, D. (2014) Using Voronoi Diagrams to Improve Classification Performances when Modeling Imbalanced Datasets, Neural Computing and Applications (NCA), Vol. 26, Iss. 5, pp. 1041-1054

Presentations & Awards

  • College of Business Research Award, 2018
  • Charles G. O’Bleness Associate Professor, 2018
  • College of Business Graduate Teaching Award, 2017
  • Charles M. Copeland Assistant Professor, 2017
  • College of Business Research Award, 2017
  • College of Business Senior Class Faculty Recognition Award, 2016
  • INFORMS Cincinnati-Dayton Outstanding Young OR/MS Award, 2015
  • Charles M. Copeland Assistant Professor, 2015

Biography

Dr. William A. Young II is a passionate educator, an active researcher, and a team-oriented collaborator in service. At Ohio University’s College of Business, Young is the Director of the Online Masters of Business Administration (OMBA) program, the Director of the Online Masters of Business Analytics (OMBAn), and a Charles G. O’Bleness Associate Professor of Business Analytics. Young earned his doctorate degree in Mechanical and Systems Engineering from Ohio University in 2010, where he won the 2009-2010 Outstanding Graduate Doctoral Student Leader Award. William also received a bachelor’s and master’s degree in Electrical Engineering at Ohio University in 2002 and 2005 respectively. William has collaborated with multidisciplinary teams of faculty, students, and professionals on projects and programs that have been funded by General Electric Aviation, the National Science Foundation, Sogeti Netherlands, and Ohio’s Department of Labor. Young's primary research and teaching interests relate to business analytics and operations management. In terms of his research, Young has various peer-reviewed articles related to operation management, healthcare services, and environmental systems, as well as specific interests in quantitative sports analysis, and educational technologies and techniques for innovative curriculum development and teaching instruction. Young has published his articles in journals such as the International Journal of Production Research, Expert Systems with Applications, Transportation Research Part E: Logistics and Transportation Review, Neural Computing and Applications, and Computers and Industrial Engineering.