William Young

Dr. William A. Young II is the Charles G. O’Bleness Full Professor of Business Analytics at Ohio University’s College of Business, specializing in the Department of Analytics and Information Systems. He holds a Ph.D. (2010), M.S. (2005), and B.S. (2002) in Electrical and Systems Engineering from Ohio University. His research focuses on operations management, predictive analytics, and decision support systems, with notable work in supply chain optimization, healthcare analytics, and educational technology.

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: Dr. Young’s work bridges operations research and business analytics, emphasizing practical applications in logistics, healthcare, and education. His studies often employ artificial neural networks and optimization algorithms to address real-world challenges such as inventory management, energy efficiency, and student success prediction. Recent projects include viral marketing incentive models and pandemic risk mitigation in warehouse operations.

Publications: His 100+ articles span journals like *European Journal of Operational Research*, *Applied Soft Computing*, and *Expert Systems with Applications*. Key themes include multi-objective optimization, predictive modeling, and decision support systems for complex systems.

Awards:

• 2023 Faculty Excellence Award for Teaching and Learning
• 2020 University Professor Award
• Multiple College of Business Research Awards (2017, 2018)
• 2015 Cincinnati-Dayton Outstanding Young OR/MS Award

Grants & Collaborations: He has secured funding from organizations like the National Science Foundation and General Electric Aviation. His interdisciplinary teams address challenges in manufacturing, environmental systems, and educational technologies.

Labs & Initiatives: Leads Ohio University’s analytics research efforts, collaborating with industry partners to develop innovative solutions in supply chain, healthcare, and education. His work often integrates artificial intelligence with domain-specific knowledge extraction techniques.