
Sharon Claxton Bommer
Associate Professor · Human-systems integration
University of DaytonAbout
Dr. Sharon Claxton Bommer is an Associate Professor in the Department of Engineering Management, Systems, and Technology at the University of Dayton's School of Engineering. She holds a full-time faculty position and specializes in human performance and cognitive systems within industrial and military operations. Her professional background includes 15+ years in automotive manufacturing (culminating as a Plant Manager) and prior academic leadership as Dean of the School of Business and Applied Technologies at Clark State College.
Education:
- Ph.D. in Industrial and Human Systems Engineering, Wright State University
- M.S. in Industrial and Human Factors Engineering, Wright State University
- M.B.A. in International Business, University of Cincinnati
- B.S. in Mechanical Engineering, Tennessee State University
Research Focus:
Her work centers on human-systems integration, cognitive ergonomics, work design optimization, and human performance modeling. She investigates applications in manufacturing efficiency, military operations, and AI-enhanced industrial systems, emphasizing cognitive workload assessment and human-machine collaboration.
Publication Trends:
Recent articles (2012–2025) demonstrate evolving interests: early work addressed quality management and UAV supervision; mid-career research developed theoretical frameworks for mental workload; current projects focus on AI integration in additive manufacturing, gender-based cognitive studies, and advanced neuroergonomic assessments. Military and manufacturing applications remain consistent themes.
Awards:
- Who’s Who in Aerospace and Defense (Dayton Business Journal, 2022)
Research Leadership:
She directs projects including:
- Warfighter Performance Faculty role at U.S. Army Aeromedical Research Laboratory (ORISE appointment, 2020–2025)
- Cognitive Workload Modeling for Human-Systems Integration (S.U.R.E. Program, 2024)
- AI in Industrial Systems (S.U.R.E. Program, 2019)
- Computational Human Factors for Additive Manufacturing (AFRL Fellowship, 2019)
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