Jay Nagy
Dr. Jay Nagy serves as a Professor of the Practice in the Daniel Guggenheim School of Aerospace Engineering. With a distinguished 30-year career in the aerospace industry, Professor Nagy brings extensive practical expertise to Georgia Tech, specializing in the intersection of design, flight operations, and cognitive systems engineering. His research portfolio is characterized by a multidisciplinary approach to accident investigations, with a primary focus on joint cognitive systems. Professor Nagy’s work explores how complex systems and humans interact within safety-critical environments. At Georgia Tech, he equips students with the practical competencies and technical proficiency required to transition into high-stakes aerospace roles. Prior to joining the Georgia Tech faculty in 2025, Professor Nagy held several senior leadership and technical roles at premier aerospace organizations. His career began as an airframe structures and test flight engineer, followed by a tenure as technical director / chief engineer, where he oversaw the development and management of aircraft overhaul and flight test programs. Later, he held designated engineering and executive positions across civil and military aircraft development programs. Most recently, he served as a senior expert at Airbus, where he was responsible for creating intelligent system architectures for the next-generation of modern airliners. Professor Nagy is a recognized authority in the system safety domain and remains an active contributor to the global aviation safety community. He is a member of the International Society of Air Safety Investigators (ISASI) and the Australian Aviation Psychology Association (AAvPA).
Professor Nagy’s teaching is focused on fundamental and advanced aerospace engineering classes, including control system architectures, system safety, and accident investigations. His instruction builds on real-world case studies and design challenges, aiming to develop job-ready aerospace engineering graduates.
Professor Nagy’s research focuses on the failure of complex socio-technical systems. His work involves novel system safety methodologies and the study of accidents that involve joint cognitive systems, contributing to improved safety outcomes during routine and non-routine flight operations.
Flight Mechanics and Controls
Cyberphysical Systems, Safety, Security and Reliability
Robotics, Autonomy, & Human Interactions
Ph.D. Cognitive Systems Engineering, University of Southern Queensland, 2024
M.Sc. (Dipl-Ing) Aerospace Engineering, Technical University of Budapest, 1996.