William A. Young II

William A. Young IIDr. William A. Young II is a passionate educator, 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, an Assistant Professor of Business Analytics, and a Charles M. Copeland Fellow. 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 at the university's annual Awards Gala. William also received a bachelor’s (BSEE) and master’s (MSEE) 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.

Publications

Artificial Neural Networks and Data Science
Artificial Neural Networks and Data Science
Trevor Bihl, William A. Young II, Adam Moyer, Steven Frimel. © 2023. 23 pages.
Artificial neural networks (ANNs) consist of a family of techniques that are commonly employed to recognize and interpret patterns in big data that are used in prediction...
Decision Support Systems and Data Science
Decision Support Systems and Data Science
Trevor Bihl, William A. Young II, Adam Moyer. © 2023. 17 pages.
Decision support systems (DSS) are information systems that facilitate human decision-making through the presentation and analysis of data. Primarily, these information systems...
Financial Asset Management Using Artificial Neural Networks
Financial Asset Management Using Artificial Neural Networks
Roohollah Younes Sinaki, Azadeh Sadeghi, Dustin S. Lynch, William A. Young II, Gary R. Weckman. © 2022. 22 pages.
Investors typically build portfolios for retirement. Investment portfolios are typically based on four asset classes that are commonly managed by large investment firms. The...
Detecting Community Structures Within Complex Networks Using a Discrete Unconscious Search Algorithm
Detecting Community Structures Within Complex Networks Using a Discrete Unconscious Search Algorithm
Ehsan Ardjmand, William A. Young II, Najat E. Almasarwah. © 2021. 18 pages.
Detecting the communities that exist within complex social networks has a wide range of application in business, engineering, and sociopolitical settings. As a result, many...
A Scheduling and Rescheduling Decision Support System for Apparel Manufacturing
A Scheduling and Rescheduling Decision Support System for Apparel Manufacturing
Ehsan Ardjmand, William A. Young II, Iman Ghalehkhondabi, Gary R. Weckman. © 2021. 19 pages.
The manufacturing environment for apparel is subject to a variety of constraints, stochasticity, and unforeseen events. In order to create an accurate scheduling-system for this...
A Prescriptive Stock Market Investment Strategy for the Restaurant Industry using an Artificial Neural Network Methodology
A Prescriptive Stock Market Investment Strategy for the Restaurant Industry using an Artificial Neural Network Methodology
Gary R. Weckman, Ronald W. Dravenstott, William A. Young II, Ehsan Ardjmand, David F. Millie, Andy P. Snow. © 2020. 21 pages.
Stock price forecasting is a classic problem facing analysts. Forecasting models have been developed for predicting individual stocks and stock indices around the world and in...
Financial Asset Management Using Artificial Neural Networks
Financial Asset Management Using Artificial Neural Networks
Roohollah Younes Sinaki, Azadeh Sadeghi, Dustin S. Lynch, William A. Young II, Gary R. Weckman. © 2020. 21 pages.
Investors typically build portfolios for retirement. Investment portfolios are typically based on four asset classes that are commonly managed by large investment firms. The...
Artificial Neural Networks and Their Applications in Business
Artificial Neural Networks and Their Applications in Business
Trevor J. Bihl, William A. Young II, Gary R. Weckman. © 2019. 19 pages.
Despite the natural advantage humans have for recognizing and interpreting patterns, large and complex datasets, as in big data, preclude efficient human analysis. Artificial...
Defining, Understanding, and Addressing Big Data
Defining, Understanding, and Addressing Big Data
Trevor J. Bihl, William A. Young II, Gary R. Weckman. © 2019. 36 pages.
“Big Data” is an emerging term used with business, engineering, and other domains. Although Big Data is a popular term used today, it is not a new concept. However, the means in...
Artificial Neural Networks and Their Applications in Business
Artificial Neural Networks and Their Applications in Business
Trevor J. Bihl, William A. Young II, Gary R. Weckman. © 2018. 16 pages.
Despite the natural advantage humans have for recognizing and interpreting patterns, large and complex datasets, as in Big Data, preclude efficient human analysis. Artificial...
A Prescriptive Stock Market Investment Strategy for the Restaurant Industry using an Artificial Neural Network Methodology
A Prescriptive Stock Market Investment Strategy for the Restaurant Industry using an Artificial Neural Network Methodology
Gary R. Weckman, Ronald W. Dravenstott, William A Young II, Ehsan Ardjmand, David F. Millie, Andy P. Snow. © 2016. 21 pages.
Stock price forecasting is a classic problem facing analysts. Forecasting models have been developed for predicting individual stocks and stock indices around the world and in...
Defining, Understanding, and Addressing Big Data
Defining, Understanding, and Addressing Big Data
Trevor J. Bihl, William A. Young II, Gary R. Weckman. © 2016. 32 pages.
“Big Data” is an emerging term used with business, engineering, and other domains. Although Big Data is a popular term used today, it is not a new concept. However, the means in...
Artificial Neural Networks for Business Analytics
Artificial Neural Networks for Business Analytics
William A. Young II, Trevor J. Bihl, Gary R. Weckman. © 2014. 16 pages.
Decision Support Systems in Business
Decision Support Systems in Business
Trevor J. Bihl, William A. Young II, Gary R. Weckman. © 2014. 12 pages.