Terrence Kelly, Ph.D.
Kelly teaches a wide variety of subjects including Safety & Human Factors, Aircraft Systems, Fluid Power Systems, Aerodynamics, Materials, Manufacturing, Airframe Systems, and Avionics
Ph.D. in Human Factors and SocioTechnical Systems, Saint Louis University
Master of Science, Embry Riddle Aeronautical University
Bachelor of Science, Saint Louis University
Kelly’s research interests include aviation safety, aircraft and fluid power systems, technical training, applied technology, organizational psychology, accident prevention, human factors, and manufacturing/quality.
Publications and Media Placements
Printed Archival Peer-Reviewed Journals
S.D. Robinson, W.J. Irwin, T.K. Kelly, X.O. Wu. Application of Machine Learning to Mapping Primary Casual Factors in Self Reported Safety Narratives. Safety Science. Volume 75, June 2015, Pages 118–129. doi:10.1016/j.ssci.2015.02.003
Peer-Reviewed Conference Papers Kelly, T., Meyer, R., & Patankar, M. (2012). Safety Culture: Testing the Safety Culture Pyramid with Structural Equation Modeling.
Kelly, T., Lercel, D., & Patankar, M. (2011). Influence of Trust and Job Satisfaction on Safety Climate Among Managers at a Large U.S. Air Carrier. Download Paper Here
Professional Organizations and Associations
- Society of Safety Engineers
- System Safety Society
- American Society of Engineering Education
- Society of Automotive Engineers
Community Work and Service
Terrence Kelly, a 1988 Parks graduate, has been a Professor with the Department of Aviation Science since 1988. In 1994, he also joined the Department of Engineering Technology.
With a focus on organizational factors that influence safety, Kelly has worked with a number of commercial air carriers to evaluate the current state of their safety culture and develop strategies for continuous improvement. Additionally, Kelly has worked with a number of aviation service providers in the analysis of self-reporting data. As requirements surrounding Safety Management Systems (SMS) continue to evolve and become a regulatory requirement, a need has emerged for the analysis of supporting data. Kelly has a keen interest in developing both quantitative and qualitative measures that will provide the regulator and the principle guidance on the effectiveness of their programs.