Dothang Truong

Dr. Dothang Truong serves as Associate Dean for the School of Graduate Studies and Professor of Aviation Data Science at Embry-Riddle Aeronautical University's College of Aviation in Daytona Beach, Florida. He oversees all academic and strategic aspects of graduate programs while maintaining an active research agenda in aviation safety analytics and AI applications. His leadership extends to NSF review panels and AIAA technical committees.

His educational background includes a Ph.D. in Manufacturing Management and Engineering from the University of Toledo (2004). Additional credentials feature ASCM Certified Supply Chain Professional certification and memberships in AIAA, Transportation Research Board, and Decision Sciences Institute.

Dr. Truong's research pioneers AI/ML applications in aviation safety, including natural language processing of safety reports, predictive modeling of flight risks, and development of safety culture frameworks for maintenance operations. His work integrates big data analytics from ASIAS, ASRS, and UAS databases to enhance air transportation resilience and operational efficiency.

His 15 most recent publications demonstrate strong thematic continuity in aviation safety analytics, with increasing focus on unmanned aircraft systems integration and pandemic-related transportation behavior. The research consistently applies machine learning to safety management systems, runway excursion prediction, and labor efficiency modeling in airlines.

• Frank Sorenson Research Award for aviation research excellence (2022)
• ScholarGPS #1 global ranking in Traffic Management (2024)
• Blackboard Exemplary Course Award (2014)
• Consecutive Best Research Paper Awards (2006-2007)

He has secured major research funding from FAA, NSF, ASSURE, and Boeing, directing projects on UAS detection systems, SMS effectiveness models, and aviation injury data mining. Current work includes an NSF-funded Generative AI framework for small UAS detection at airports. His advising focuses on graduate research in aviation data science, with extensive use of SAS Enterprise Miner, SPSS Modeler, and NVivo for analytical training.

Dr. Truong actively contributes to aviation safety through AIAA's Air Transportation Systems committee and NSF review panels, while developing predictive models for flight delays and UAS violations using real-world NAS databases.