Dothang Truong

Title
Associate Dean and Professor
Email
Department
School of Graduate Studies (SGS)
College
College of Aviation

Areas of Expertise

AI/ML in Aviation Safety
Big Aviation Data Analytics
Natural Language Processing
Air Transportation
Optimization & Simulation


Dothang Truong

Dr. Dothang Truong is Associate Dean for School of Graduate Studies and Professor of Aviation Data Science at Embry Riddle Aeronautical University, Daytona Beach, FL. He leads and oversees all academic, administrative, and strategic aspects of the graduate programs within the School of Graduate Studies, ensuring the quality and effectiveness of the programs, curriculum, and faculty. He received his Ph.D. in Manufacturing Management and Engineering from the University of Toledo in 2004. He is an ASCM Certified Supply Chain Professional (CSCP) and a member of the American Institute of Aeronautics and Astronautics (AIAA)’s Air Transportation Systems Technical Committee. In addition, he serves on National Science Foundation (NSF) Review Panel in the Advanced Manufacturing Division and Transportation Research Board’s Economics and Forecasting Committee. He has strong expertise in aviation safety, artificial intelligence and machine learning in aviation, natural language processing, data mining, big data analytics, air transportation, operations research, optimization, and simulation. He has extensive skills and experience in data analytics software, including SAS Enterprise Miner, SAS Text Miner, SPSS, AMOS, STATISTICA, NVivo, and LINGO. He teaches data mining, operations research and decision-making, advanced statistics, structural equation modeling, logistics and supply chain management, and transportation management. His research interests include Natural Language Processing (NLP) and Machine Learning (ML) in aviation safety, leveraging Artificial Intelligence (AI) to build predictive models for aviation safety and air transportation efficiency, a new safety culture framework for aviation maintenance, and air transport resilience system.

He has worked on multiple research grants funded by the Federal Aviation Administration (FAA), FAA's Center of Excellence for UAS Research (ASSURE), National Science Foundation (NSF), Airlines, Faculty Innovative Research in Science and Technology (FIRST), and Boeing Center for Aviation and Aerospace Safety (BCAAS). Those projects involved developing and testing the Safety Management System (SMS) effectiveness model, developing a new safety culture framework for aviation maintenance, performing comprehensive data analysis for non-segregated UAS operations into the National Airspace System (NAS), mining the airline injury data, and applications of machine learning in aviation safety. In addition, he received several internal research grants to develop predictive models for flight delays in the NAS and to use machine learning algorithms to predict small UAS violation incidents. He has used and is familiar with major aviation safety databases, including ASIAS, AIDS, FOQA, ASAP, LOSA, ASRS, NTSB, ASPM, and UAS Sighting Reports.

His research accomplishment has been highly recognized in the aviation research community. Notably, he received the Frank Sorenson’s Research Award for the outstanding achievement of excellence in aviation research and scholarship in 2022. Furthermore, he received the Blackboard Exemplary Course Award in 2014 and the Best Research Paper Award from the International Academy of Business and Public Administration Disciplines for two consecutive years, 2006 and 2007.

Regarding scholarship, he has published 64 peer-reviewed articles in high-impact journals, one book, three book chapters, and 36 conference proceedings. The significance of his publications is proven with more than 2,000 citations, an h-index of 26, and an i10-index of 37. His most recent book "Data Science and Machine Learning for Non-programmers: Using SAS Enterprise Miner" is well regconized and reflects his dedication to making complex topics accessible to broader audiences.

  • Ph.D. - Doctor of Philosophy in Manufacturing Management, University of Toledo
  • DAV 724: Adv Quantitative Data Analysis
  • DAV 994: Dissertation Leave of Absence
  • DAV 901: Dissertation Research 1
  • DAV 910: Dissertation Research 10
  • DAV 902: Dissertation Research 2
  • DAV 903: Dissertation Research 3
  • DAV 904: Dissertation Research 4
  • DAV 909: Dissertation Research 9
  • DAV 734: Ops Research & Decision-Making
  • DAV 801: Qualifying Examination
  • DAV 800: Research Prospectus in Avia
  • DAV 899: Special Topics in Aviation

DAV724 - Advanced Quantitative Data Analysis – Data Mining and Modeling (doctoral level)

DAV726 - Quantitative and Qualitative Data Analysis (doctoral level)

DAV734 - Operations Research and Decision Making (doctoral level)

DAV725 - Research Methods (doctoral level)

LGMT536 - Purchasing for Logistics and Supply Chain Managers (master level)

LGMT636 - Transportation Management (master level)

LGMT683 - Supply Chain Management (master level)

LGMT685 - Global Logistics and Supply Chain Management (master level)

RESEARCH RECOGNITIONS AND ACHIEVEMENTS

  • Frank E. Sorenson’s Research Award for the outstanding achievement of excellence in aviation research and scholarship, 2022. University Aviation Association (UAA).
  • Featured in President Butler’s article in Aviation Week: ‘Leveraging Data Analytics to Improve Aviation Safety’ by P. Barry Butler, Aviation Week, October 10, 2022.
  • The Best Research Paper Award: A Theoretical Framework for Radio Frequency Identification and Supply Chain Management, The International Academy of Business & Public Administration Disciplines, 2007.
  • The Best Research Paper Award: A Study of Whistleblowing: A Cross-Cultural Comparison of Attitudes and Behavioral Intentions between Russian and American Managers, The International Academy of Business and Public Administration Disciplines, 2006.

Books

  • Truong, D. (2024). Data Science and Machine Learning for Non-programmers: Using SAS Enterprise Miner. Chapman and Hall/CRC Press: New York, NY. ISBN: 9780367755386. https://doi.org/10.1201/9781003162872

Peer-Reviewed Journal Publications

  1. Truong, D. & Lee, SA. (2025). Developing a new safety culture framework for aviation maintenance: Preliminary results. Safety Science, 183, 106729. https://doi.org/10.1016/j.ssci.2024.106729 (Impact factor: 4.7; CiteScore: 13’ h-index: 154)
  2. Combs, E. K., Crouse, S. R., Bell, K. D., & Truong, D. (2024). Willingness to fly during the COVID-19 pandemic. Journal of Air Transport Management, 117, 102575. https://doi.org/10.1016/j.jairtraman.2024.102575 (Impact factor: 6; CiteScore: 12.1; h-index: 88)
  3. Aguiar, M., Anderson, C. L., Truong, D., Woo, G. S., & Byrnes, K. (2024). Development of a Safety Performance Decision-Making Tool for Flight Training Organizations. Journal of Aviation/Aerospace Education & Research, 33(2). https://doi.org/10.58940/2329-258X.2018.
  4. Maxson, R., Truong, D., Choi, W.J. (2023). Impact of Weather Factors on Airport Arrival Rates - Application of Machine Learning in Air Transportation. Journal of Aviation Technology and Engineering, in press.
  5. Garcia, J.S.D, Jaedicke, C., Lim, G.L., and Truong, D. (2023). Predicting the Severity of Runway Excursions from Aviation Safety Reports. Journal of Aerospace Information Systems, May 26. https://doi.org/10.2514/1.I011145 (Impact factor: 2.19; CiteScore: 4.1; h-index: 40)
  6. Saini, A., Truong, D., & Pan, J. (2023). Airline Efficiency and Environmental Impacts – Data Envelopment Analysis. International Journal of Transportation Science and Technology, 12(2), 335-353. https://doi.org/10.1016/j.ijtst.2022.02.005 (Impact factor: 3.29; CiteScore: 6.7)
  7. Mirsa, S., Dsouza, G., & Truong, D. (2022). A Machine Learning Approach Towards Analyzing Impact of Surface Weather on Expect Departure Clearance Times in Aviation. Collegiate Aviation Review International, 40(2), 79-102. https://ojs.library.okstate.edu/osu/index.php/CARI/article/view/9356/8433
  8. Jain, T., Mirsa, S., & Truong, D. (2022). Utilizing Deep Learning to Predict Unstabilized Approaches for General Aviation Aircraft. Journal of Aerospace Information Systems, 19(12), 811-817. https://doi.org/10.2514/1.I011132(Impact factor: 2.19; CiteScore: 4.1; h-index: 40)
  9. Lamb, T., Myers, P., & Truong, D. (2022). Small Unmanned Aircraft Operator Perceived Risk Factors in the VMUTES model. Journal of Air Transport Management, 103, 102243. https://doi.org/10.1016/j.jairtraman.2022.102243 (Impact factor: 6; CiteScore: 10.2; h-index: 88)
  10. Truong, D. & Truong, M.D. (2022). How do customers change their purchasing behaviors during the COVID-19 pandemic? Journal of Retailing and Consumer Services, 67, 102963. https://doi.org/10.1016/j.jretconser.2022.102963 (Impact factor: 10; CiteScore: 12.3; h-index: 153)
  11. Truong, D. & Truong, M.D. (2022). Impacts of Daily Travel by Distances on the Spread of COVID-19: An Artificial Neural Network Model. Transportation Research Record, 2677(4), 934-945. https://doi.org/10.1177/03611981211066899 (CiteScore: 3.0; h-index: 141)
  12. Odisho, E., Truong, D., & Joslin, B. (2022). Applying Machine Learning to Enhance Runway Safety through Runway Excursion Risk Mitigation. Journal of Aerospace Information Systems, 19(2), 98-112. https://doi.org/10.2514/1.I010972 (Impact factor: 2.19; CiteScore: 4.1; h-index: 40)
  13. Fussell, S.G. & Truong, D. (2022). Using virtual reality for dynamic learning: an extended technology acceptance model. Virtual Reality, 26, 249-267. https://doi.org/10.1007/s10055-021-00554-x  (Impact factor: 5.521; CiteScore: 7.5; h-index: 45)
  14. Fussell, S.G. & Truong, D. (2021). Accepting Virtual Reality for Dynamic Learning: An Extension of the Technology Acceptance Model. Interactive Learning Environments, December 6.https://doi.org/10.1080/10494820.2021.2009880 (Impact factor: 3.928; CiteScore: 7.0; h-index: 44)
  15. Truong, D. (2021). Estimating the impact of COVID-19 on air travel in the medium and long term using neural network and Monte Carlo simulation. Journal of Air Transport Management, 96, 102126.https://doi.org/10.1016/j.jairtraman.2021.102126  (Impact factor: 6; CiteScore: 10.2; h-index: 88)
  16. Lamb, T.L., Ruskin, K.J., Rice, S., Khorassani, L., Winter, S.R., & Truong, D. (2021). A qualitative analysis of social and emotional perspectives of airline passengers during the COVID-19 pandemic. Journal of Air Transport Management, 94, 102079. https://doi.org/10.1016/j.jairtraman.2021.102079  (Impact factor: 6; CiteScore: 10.2; h-index: 88)
  17. Truong, D., & Truong, M.D. (2021). Projecting daily travel behavior by distance during the pandemic and the spread of COVID-19 infections – Are we in a closed loop scenario? Transportation Research Interdisciplinary Perspectives, 9, 100283. https://doi.org/10.1016/j.trip.2020.100283 (CiteScore: 9.9; h-index: 35)
  18. Winter, S.R., Pan, J. Y., Truong, D., & Lamb, T. L. (2021). Willingness to watch the pre-flight safety briefing: A structural model. The International Journal of Aerospace Psychology, 31(3), 230-251. https://doi.org/10.1080/24721840.2021.1883432 (h-index: 44)
  19. Truong, D. (2021). Using Causal Machine Learning for Predicting the Risk of Flight Delays in Air Transportation. Journal of Air Transport Management, 91, 101993. https://doi.org/10.1016/j.jairtraman.2020.101993  (Impact factor: 6; CiteScore: 10.2; h-index: 88)
  20. Garcia, J.S.D., Jädicke, C.K., & Truong, D. (2020). A Linear Programming Model for Optimal Check Airmen Allocation to Minimize Travel Costs. Collegiate Aviation Review International, 38(2), 82-96. http://ojs.library.okstate.edu/osu/index.php/CARI/article/view/8040/7437  
  21. Anderson, C. L., Aguiar, M. D., Truong, D., Friend, M. A., Williams, J. & Dickson, M. (2020). Development of a Risk Indicator Score Card for a Large, Flight Training Department. Safety Science, 131, 104899. https://doi.org/10.1016/j.ssci.2020.104899  (Impact factor: 6.1; CiteScore: 12.4; h-index: 140)
  22. Nguyen, H., Onofrei, G., & Truong, D. (2020). Supply Chain Communication and Cultural Compatibility: Performance Implications in the Global Manufacturing Industry. Business Process Management Journal, 27(1), 253-274. https://doi.org/10.1108/BPMJ-08-2019-0314  (Impact factor: 3.464; CiteScore: 6.1; h-index: 81)
  23. Nguyen, H., Onofrei, G., Harrison, N., & Truong, D. (2020). The influence of cultural compatibility and product complexity on manufacturing flexibility and financial performance. Operations Management Research, 13, 171-184. https://doi.org/10.1007/s12063-020-00163-y  (Impact factor: 4.633; CiteScore: 3.8; h-index: 28)
  24. Fussell, S. G., & Truong, D. (2020). Preliminary Results of a Study Investigating Aviation Student’s Intentions to use Virtual Reality for Flight Training. International Journal of Aviation, Aeronautics, and Aerospace, 7(3), 1-24. https://commons.erau.edu/ijaaa/vol7/iss3/2
  25. Myers, P., & Truong, D. (2020). A New Research Model for Higher Risk Activities Applied to the Use of Small Unmanned Aircraft for Data Gathering Operations. Journal of Intelligent & Robotic Systems, 100, 1617-1634. https://doi.org/10.1007/s10846-020-01232-x  (Impact factor: 2.888; CiteScore: 5.4; h-index: 77)
  26. Truong, D., Pan, J., & Buaphiban, T. (2020). Low Cost Carriers in Southeast Asia: How Does Ticket Price Change the Way Passengers Make Their Airline Selection? Journal of Air Transport Management, 86, 101836. https://doi.org/10.1016/j.jairtraman.2020.101836  (Impact factor: 6; CiteScore: 10.2; h-index: 88)
  27. Nguyen, H., Onofrei, G., Truong, D., & Lockrey, S. (2020). Customer green orientation and process innovation alignment: A configuration approach in the global manufacturing industry. Business Strategy and the Environment, 29(6), 2498-2513. https://doi.org/10.1002/bse.2516  
  28. Truong, D., & Choi, W. (2020). Using machine learning algorithms to predict the risk of small Unmanned Aircraft System violations in the National Airspace System. Journal of Air Transport Management, 86, 101822. https://doi.org/10.1016/j.jairtraman.2020.101822  (Impact factor: 6; CiteScore: 10.2; h-index: 88)
  29. Pan, J., & Truong, D. (2020). Low Cost Carriers in China: Passenger Segmentation, Controllability, and Airline Selection. Transportation, 48, 1587-1612. https://doi.org/10.1007/s11116-020-10105-z  (Impact factor: 6.052; CiteScore: 7.5; h-index: 88)
  30. Woo, G., Truong, D., & Choi, W. (2020). Visual Detection of Small Unmanned Aircraft System: Modeling the Limits of Human Pilots. Journal of Intelligent & Robotic Systems, 99, 933-947. https://doi.org/10.1007/s10846-020-01152-w (Impact factor: 2.888; CiteScore: 5.4; h-index: 77)
  31. Pan, J., & Truong (2020). Low-Cost Carriers versus High-Speed Rail: Understanding Key Drivers of Passengers’ Choice in China. Transportation Journal, 59(1), 1-27. https://doi.org/10.5325/transportationj.59.1.0001
  32. Truong, D. (2019). Distrust Issues in Business-to-Business E-Procurement Decisions. Journal of Enterprise Information Management, 32(6), 1071-1088. https://doi.org/10.1108/JEIM-01-2019-0020 (Impact factor: 5.396; CiteScore: 8.0; h-index: 61) 
  33. Winter, S. R., Truong, D., & Keebler, J. R. (2019). The flight risk perception scale (FRPS): A modified risk perception scale for measuring risk of pilots in aviation. The International Journal of Aviation Research, 11(1), 57-72. https://ojs.library.okstate.edu/osu/index.php/IJAR/article/view/7923
  34. Choi, W., O’Connor, M., & Truong, D. (2019). Predicting the U.S. Airline Operating Profitability using Machine Learning Algorithms. International Journal of Aviation, Aeronautics, and Aerospace, 6(5), 1-31. https://commons.erau.edu/ijaaa/vol6/iss5/14   
  35. Pan, J., & Truong, D. (2019). Understanding High-Speed Rail Passengers in China: A Segmentation Approach. Transportation Research Record, 2673(4), 877-888. https://doi.org/10.1177/0361198119834914 (CiteScore: 3.0; h-index: 141)
  36. Richardson, C., Truong, D., & Choi, W. (2019). Examination of Factors Related to Pilot Acceptance Behaviors toward the Automatic Ground Collision Avoidance System in Fighter Aircraft Operations. The International Journal of Aerospace Psychology, 29 (1-2), 28-41. https://doi.org/10.1080/24721840.2019.1596745 (h-index: 44)
  37. Hunt, J., & Truong, D. (2019). Low-fare flights across the Atlantic: Impact of low-cost, long-haul trans-Atlantic flights on passenger choice of Carrier. Journal of Air Transport Management, 75, 170-184. https://doi.org/10.1016/j.jairtraman.2018.12.005  (Impact factor: 6; CiteScore: 10.2; h-index: 88)
  38. Pan, J., & Truong, D. (2018). Passengers’ intentions to use low-cost carriers: An extended theory of planned behavior model. Journal of Air Transport Management, 69 June, 38-48.https://doi.org/10.1016/j.jairtraman.2018.01.006  (Impact factor: 6; CiteScore: 10.2; h-index: 88)
  39. Stolzer, A., Friend, M., Truong, D., Tuccio, W.A., & Aguiar, M. (2018). Measuring and evaluating safety management system effectiveness using Data Envelopment Analysis. Safety Science, 104(4), 55-69. https://doi.org/10.1016/j.ssci.2017.12.037 (Impact factor: 6.1; CiteScore: 12.4; h-index: 140)
  40. Truong, D., Friend, M, & Chen, H. (2018). Applications of Business Analytics in Predicting Flight On-time Performance. Transportation Journal, 57(1), 24-52. https://doi.org/10.5325/transportationj.57.1.0024
  41. Pan, J., & Truong, D. (2017). Factors Influencing Passenger Choice in a Multiple Airport System. International Journal of Aviation Systems, Operations and Training, 4(1), (1-14). https://doi.org/10.4018/IJASOT.2017010101   
  42. Buaphiban, T, & Truong, D. (2017). Evaluation of Passengers’ Buying Behaviors toward Low Cost Carriers in Southeast Asia. Journal of Air Transport Management, 59 March, 124-133. https://doi.org/10.1016/j.jairtraman.2016.12.003  (Impact factor: 6; CiteScore: 10.2; h-index: 88)
  43. Hunt, J., Petitt, K., & Truong (2017). Efficiency Evaluation of Low-Cost Long-Haul Carriers in the Trans-Atlantic and Asia-Pacific Markets. International Journal of Aviation Systems, Operations and Training, 3(1), 36-50. https://doi.org/10.4018/IJASOT.2016010103
  44. Truong, D. (2016). Developing Airline Segmentation Based on the On-time Performance. International Journal of Aeronautical Science & Aerospace Research, 3(5), 131-140. https://doi.org/10.19070/2470-4415-1600016   
  45. Tian, Y., Chen, H., & Truong, D. (2016). A case study to identify secondary crashes on interstate highways in Florida by using Geographic Information Systems (GIS). Advances in Transportation Studies, an International Journal, 2, 103-112.
  46. Jitpaiboon, T., Gu, Q., & Truong, D. (2016). Evolution of Competitive Priorities towards Performance Improvement: A Meta-Analysis. International Journal of Production Research, 54(24), 7400-7420. https://doi.org/10.1080/00207543.2016.1190878
  47. Truong, D. & Jitpaiboon, T. (2016). How Can Agile Methodologies Be Used to Enhance the Success of Information Technology Projects? International Journal of Information Technology Project Management, 7(2), 1-16. https://doi.org/10.4018/IJITPM.2016040101  
  48. Truong, D. (2016). The Relationship between B2B E-Procurement Types and the Purchasing Portfolio: An Empirical Study. International Journal of Knowledge Based Organization, 6(2), 56-70. https://doi.org/10.4018/IJKBO.2016040104  
  49. Truong, D. (2015). Efficiency and Risk Management Models for Cloud-Based Solutions in Supply Chain Management. International Journal of Business Analytics, 2(2), 14-30.  https://doi.org/10.4018/IJBAN.2015040102   
  50. Truong, D. (2014). How to Design a Mobile Application to Enhance Teaching and Learning? International Journal of Emerging Technologies in Learning, 9(3), 4-11. https://doi.org/10.3991/ijet.v9i3.3507
  51. Truong, D., Le, T.T., Senecal, S., and Rao, S. (2012). Electronic Marketplace: A Distinct Platform for B2B Procurement. Journal of Business to Business Marketing, 19(3), 216-247. https://doi.org/10.1080/1051712X.2012.638467
  52. Truong, D. and Bhuiyan, M (2011). E-Entrepreneurship: A Comparison among Industry Sectors. International Journal of Management & Information Systems, 15(2), 9-21. https://doi.org/10.19030/ijmis.v15i2.4148
  53. Truong, D. (2010). How Cloud Computing Enhances Competitive Advantages: A Research Model for Small Businesses. The Business Review, Cambridge, 15(1), 59-65.
  54. Truong, D. and Bhuiyan, M. (2009). E-Market and Entrepreneurship. International Journal of Entrepreneurship, 13, 1-22. 
  55. Truong, D. (2008). An Empirical Study of Business-To-Business Electronic Marketplace Usage: The Impact of Buyers’ E-Readiness. Journal of Organizational Computing and Electronic Commerce, 18(2), 112-130. https://doi.org/10.1080/10919390801997614
  56. Truong, D. & Jitpaiboon, T. (2008).  How IT-Purchasing Preparedness Facilitates E-Marketplace Usage. Journal of Enterprise Information Management, 21(1), 198-218. https://doi.org/10.1108/17410390810851426  (Impact factor: 5.396; CiteScore: 8.0; h-index: 61)
  57. Truong, D. (2007). A Theoretical Framework for Radio Frequency Identification and Supply Chain Management. International Journal of Business and Public Administration, 4(1), 90-100. 
  58. Truong, D. (2007). Using Spreadsheet Simulation to Evaluate the Expected Value of Solutions to Increasing Click-Through Rates for Banner Ads. Review for Business Research, 7(3), 224-229. 
  59. Rao, S., Truong, D., Senecal, S., & Le, T. T. (2007).  How Buyers' Expected Benefits, Perceived Risks, and e-Business Readiness Influence their E-Marketplace Usage. Industrial Marketing Management, 36(8), 1035-1045.https://doi.org/10.1016/j.indmarman.2006.08.001
  60. Tavakoli, A., Gurley, K., & Truong, D. (2006).  A Cross-Cultural Study of Whistle-blowing: Comparison of Attitudes and Intentions between Russian and American Managers. International Journal of Business and Economics Perspectives, 1 (2), 11-25. 
  61. Jitpaiboon, T., Park, J. A., & Truong, D. (2006).  The Effects of Employee Autonomy, Top Management Support, and Pride on Performance of Hotel Employees. Review of Business Research, 6 (3), 71-76. 
  62. Truong, D. & Nguyen, V. T. (2006).  How Purchasing Organizations Use Web-Based Marketplace: An Empirical Study in America. Journal of Academy of Business and Economics, 6 (1), 183-188. 
  63. Truong, D. (2005).  Methodologies for Evaluating the Investment in Electronic Data Interchange. International Journal of Enterprise Information Systems, 1 (3), 55-67. https://doi.org/10.4018/jeis.2005070104  
  64. Le, T. T., Rao, S., & Truong, D. (2004).  Industry-Sponsored Marketplaces: a Platform for Supply Chain Integration or a Vehicle for Market Aggregation? Electronic Markets - the International Journal, 14 (4), 1-14. https://doi.org/10.1080/10196780412331311748   
  65. Deng, X., Doll, W. J., & Truong, D. (2004).  Computer self-efficacy in an ongoing use context. Behaviour & Information Technology, 23 (6), 395-412. https://doi.org/10.1080/01449290410001723454

Books and Book Chapters

  1. Truong, D. (2009). B2B Electronic Marketplace Usage from the Buyer Perspective. Saarbrücken: LAP Lambert Academic Publishing. ISBN-13: 978-3838318233.
  2. Truong, D., (2007). “Using Simulation to Evaluate The Use of Electronic Data Interchange”, In Angappa Gunasekaran (Ed.) Modelling and Analysis of Enterprise Information Systems, (pp. 184-201). Hersey, PA:  Idea Group Publishing.
  3. Le , T. T., Rao, S., & Truong, D. (2002). A managerial perspective on E-Commerce: Adoption, Diffusion, and Cultural Issues. In Angappa Gunasekaran (Ed.) Knowledge and Information Technology Management, (pp. 251-266). Hersey, PA:  Idea Group Publishing.

Peer-Reviewed Conference Proceeding Publications

  1. Truong, D., Lee, S., & Nguyen, T. (2024). Safety Management System Framework for Small Unmanned Aircraft Systems Operations. AIAA AVIATION 2024 Forum, July 27, 1-11. https://doi.org/10.2514/6.2024-4364 
  2. Lee, S. A. & Truong, D. 2024. Effects of Aviation Maintenance-Related Flight Incidents on Air Traffic in the National Air Space System. ICNS 2024 - 2024 Integrated Communications, Navigation and Surveillance Conference, April 23-25. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ICNS60906.2024.10550705
  3. Truong, D. (2023). Airline Efficiency Evaluation Based on Employment for Airlines in the United States. AIAA AVIATION 2023 Forum, June 12, 1-8. https://doi.org/10.2514/6.2023-3404
  4. Truong, D. (2022). Predicting the Impact of COVID-19 on Air Transportation Volumes. AIAA AVIATION 2022 Forum, June 10, 1-13. https://doi.org/10.2514/6.2022-3223
  5. Truong, D. (2020). Automated Predictive Accident Alert System for Vulnerable Road Users. Decision Sciences Institute: 2020 Proceedings (pp. 43-48). Decision Sciences Institute.
  6. Truong, D. (2019). Internet of Things and Artificial Intelligence for Smart Airports. Decision Sciences Institute: 2019 Proceedings (pp. 557-568). New Orleans: LA. Decision Sciences Institute.
  7. Truong, D. (2018). Risk Assessment of Small Unmanned Aircraft System (sUAS) Operations. In C. Di Mauro (Ed.), Decision Sciences Institute: 2018 Proceedings (pp. 1-8). Chicago, IL: Decision Sciences Institute.
  8. Truong, D. (2017). Evaluating How Doctorate Recipients Make Their Career Decisions. In X. Zhao (Ed.), Decision Sciences Institute: 2017 Proceedings (pp. 1-9). Washington, D.C.: Decision Sciences Institute.
  9. Hampton, S., Truong, D., Byrne, K., & Techau, T. (2017). Pilot Training Metrics at a Part 141 University Training Program. 17th AIAA Aviation Technology, Integration, and Operations Conference, AIAA AVIATION Forum Proceedings (pp. 1-21). Denver, CO: American Institute of Aeronautics and Astronautics (AIAA).
  10. Pan, J, & Truong, D. (2017). How passengers select an airport in a multiple airport system – A preliminary study in Beijing. Proceedings of the AIB-Midwest 2017 Conference. Chicago, IL: MBAA International Conference.
  11. Jitpaiboon, T., Gu, Q., & Truong, D. (2015). The Study toward a Measure of Competitive priorities: Meta-Analysis. In A. Mackelprang (Ed.), Decision Sciences Institute: 2015 Proceedings (pp. 1-6). Seattle, WA: Decision Sciences Institute.
  12. Truong, D. (2014). Cloud-Based Solutions for Supply Chain Management: A Post-Adoption Study. In J. Zhu (Ed.), American Society of Business and Behavioral Sciences: Proceedings 2014 (pp. 697-708). Las Vegas, NV: American Society of Business and Behavioral Sciences.
  13. Truong, D. (2012). Development of an Apple Application to Enhance Student Learning Outcomes. In H. Kaynak (Ed.), Decision Sciences Institute: 2012 Proceedings (pp. 101-110). San Francisco, CA: Decision Sciences Institute.  
  14. Truong, D. (2010). A Research Model for RFID-Enabled Supply Chain Integration Using Resource-Based View Theory. In A. Asllani and F. Miah (Eds.), 2010 American Institute of Higher Education-Proceedings (pp. 534-540). Williamsburg, VA: American Institute of Higher Education.
  15. Truong, D. (2009). How Are Electronic Marketplaces Different among Industry Sectors? In A. Asllani and F. Miah (Eds.), 2009 American Institute of Higher Education-Proceedings (pp. 407-409). Nashville, TN: American Institute of Higher Education.
  16. Truong, D. and Bhuiyan, M. (2008). How E-Market Can Help New Businesses: Empirical Analysis of Its Benefits and Challenges. In A.D. Ross (Ed.), Decision Sciences Institute: 2008 Proceedings (pp. 5161-5166). Baltimore, MD: Decision Sciences Institute.  
  17. Lari A, Lari N, Truong D. (2008). The Framework of an IT-enhanced System Designed to Improve Quality of Patients Care. In K. Dubas and D. Truong (Eds.), 2008 American Institute of Higher Education-Proceedings (pp. 227-233). Orlando, FL: American Institute of Higher Education.
  18. Truong D., Le, T.T., Senecal, S., Rao, S. (2008). Are All Types of Electronic Marketplaces the Same From Buyers’ Perception? In K. Dubas and D. Truong (Eds.), 2008 American Institute of Higher Education-Proceedings (pp. 139-144). Orlando, FL: American Institute of Higher Education.
  19. Truong, D. (2007). An Empirical Study of Market Accessibility, Perceived Distrust, and Supplier Integration in the E-Market Context. In R.J. Pavur (Ed.), Decision Sciences Institute: 2007 Proceedings. Phoenix, AZ: Decision Sciences Institute.  
  20. Jitpaiboon, T., Dangol, R. , Truong, D. (2007). The Study of Supply Chain Integration (SCI) and Organizational Performance Using Hierarchical Linear Modeling: A Comparative Study of SMEs vs. LEs. In R.J. Pavur (Ed.), Decision Sciences Institute: 2007 Proceedings. Phoenix, AZ: Decision Sciences Institute.
  21. Jitpaiboon, T., Dangol, R. , Truong, D. , & Thatte, A. (2007). Comparative Effects of Supply Chain Integration on Performance Between SMEs and LES Using Hierarchical Linear Modeling. Midwest Business Administration Association (MBAA) International Proceedings. Chicago, IL: Midwest Business Administration Association.
  22. Truong, D. (2006).  How Radio Frequency Identification Technology Enhances Supply Chain Management. In M. Cline (Ed.), Decision Sciences Institute: 2006 Proceedings. San Antonia, TX: Decision Sciences Institute.
  23. Truong, D. (2006).  How Organizations use E-Marketplaces for Purchasing: An Empirical Comparison to Company Size and Industry Sectors. In M. Cline (Ed.), Decision Sciences Institute: 2006 Proceedings. San Antonia, TX: Decision Sciences Institute.
  24. Truong, D. (2006).  An Empirical Study of Business-to-Business Electronic Marketplace Usage from Buyer Perspective. The International Symposium on Management, Engineering and Informatics Proceedings. Orlando, FL:  International Symposium on Management, Engineering and Informatics.
  25. Truong, D., Le, T. T., & Rao, S. (2005).  Business-to-Business Electronic Marketplace Usage for Purchasing and the Impact of Buyers' E-Readiness. The 16th Annual North American Research/Teaching Symposium on Purchasing and Supply Management Proceedings. Tempe, AZ: Institute for Supply Management.
  26. Tavakoli, A., Truong, D., & Nguyen, V. T. (2005).  The Usage of Web-Based Marketplaces for Purchasing: An Empirical Study in America. The International Symposium on Management, Engineering and Informatics Proceedings. Orlando, FL:  International Symposium on Management, Engineering and Informatics.
  27. Truong, D., Le, T. T., Rao, S. , & Nguyen, V. T. (2005).  How Information Technology Usage for Facilitating the Purchasing Process Influences the Extent of Electronic Marketplace Usage. In J. Jayaram (Ed.), Decision Sciences Institute: 2005 Proceedings. San Francisco, CA: Decision Sciences Institute.  
  28. Le, T. T., Rao, S. , & Truong, D. (2004).  Expected Benefits And Usage of Business-To-Business Electronic Marketplaces. Proceedings of The 7th International Conference on E-Commerce Research.
  29. Truong, D., Le, T. T., & Rao, S. (2004).  The Correlation between E-Readiness and Electronic Marketplace Usage: An Empirical Study From The Buyer Perspective. CollECTeR LatAm 2004 Proceedings. Santiago, Chile: Collaborative Electronic Commerce Technology and Research.
  30. Le, T. T., Rao, S., & Truong, D. (2004).  Buyer's Perspective on Industry-Sponsored Marketplaces. An Empirical Study. In J.E. Kendall (Ed.), Decision Sciences Institute: 2004 Proceedings. Boston, MA: Decision Sciences Institute.  
  31. Truong, D. & Rao, S. (2003).  How Electronic Marketplaces Facilitate Global Sourcing Performance. Midwest Business Administration Association (MBAA) International Proceedings. Chicago, IL: Midwest Business Administration Association.
  32. Truong, D. & Le, T. T. (2003).  Perceived values of B2B E-marketplaces from Buyer and Seller perspectives. In M. Ebrahimpour (Ed.), Decision Sciences Institute: 2003 Proceedings. Washington, DC: Decision Sciences Institute.  
  33. Truong, D. (2003).  How The Advent of Internet affects EDI Usage. In M. Ebrahimpour (Ed.), Decision Sciences Institute: 2003 Proceedings. Washington, DC: Decision Sciences Institute.
  34. Mett, G. A., Truong, D., & Rao, S. (2002).  E-Commerce Strategy Context and Choice For Small And Medium- Sized Enterprises. Midwest Business Administration Association (MBAA) International Proceedings. Chicago, IL: Midwest Business Administration Association.
  35. Truong, D. & Rao, S. (2002).  The Moderating Effect of Information Systems and Technology in Supplier Quality Performance. Midwest Business Administration Association (MBAA) International Proceedings. Chicago, IL: Midwest Business Administration Association.
  36. Truong, D., Subedi, D., & Rachamadugu, R. (2002).  Methodologies for Evaluating the Value for Electronic Data Interchange (EDI). Decision Sciences Institute: 2002 Proceedings. San Diego, CA: Decision Sciences Institute.
  37. Truong, D., Le, T. T., & Rao, S. (2002).  The Buyer Perspective on Electronic Marketplaces ' Inter-Organizational Information Systems (IOIS). Decision Sciences Institute: 2002 Proceedings. San Diego, CA: Decision Sciences Institute.
  38. Truong, D. & Rao, S. (2002).  Development of a Contingency Model for Adoption of Electronic Commerce. Decision Sciences Institute: 2002 Proceedings. San Diego, CA: Decision Sciences Institute.

Research Grants

  1. Big Data Analytics for Airlines' Safety Data – Major Airline, 2024. 
  2. Development of the Aviation Maintenance Safety Culture Framework for Part 121 Airlines - Embry-Riddle Aeronautical University’s Faculty Innovative Research in Science and Technology (FIRST), 2023-2024.
  3. Natural Language Processing (NLP) Proof of Concept – Technology Strategic Initiative, Embry Riddle Aeronautical University, 2022-2024.
  4. IUCRC Preliminary Proposal Planning Grant Embry-Riddle Aeronautical University: Center for Aviation Big Data Analytics [ABDA] (with Hong Liu and others)  – National Science Foundation (NSF), 2022-2024. 
  5. A50 - Small Unmanned Aircraft System (sUAS) Traffic Analysis“ (with Ryan Wallace, Scott Winter, and others – ERAU team) - The FAA’s Center of Excellence for UAS Research (ASSURE), 2021-2024.
  6. A47 - Small UAS ( I'm jsUAS) Mid-Air Collision (MAC) Likelihood (with Ryan Wallace, David Cross, and Scott Winter – ERAU team) - The FAA’s Center of Excellence for UAS Research (ASSURE), 2021-2023.
  7. A21 - Integrating Expanded and Non-Segregated UAS Operations into the NAS: Impact on Traffic Trends and Safety (with Richard Stansbury and Ryan Wallace – ERAU team) - The FAA’s Center of Excellence for UAS Research (ASSURE), 2019-2021.
  8. Developing a Taxonomy of Risk Factors for Small Unmanned Aircraft System (sUAS) Operations In National Airspace System (NAS) – Embry-Riddle Aeronautical University’s Faculty Innovative Research in Science and Technology (FIRST), 2017.
  9. Determining The Effectiveness of Safety Management Systems: A Research Investigation (with Alan Stolzer and Mark Friend) – Federal Aviation Administration (FAA), 2014-2015. 

Conference and Research Presentations

  1. Truong, D. (2024). Navigating the Frontier: Innovations and Insights in AI Research and Education [Panel Discussion]. AI Summit, November 19. Embry-Riddle Aeronautical University. Daytona Beach, FL.
  2. Truong, D., Lee, S., & Nguyen, T. (2024). Safety Management System Framework for Small Unmanned Aircraft Systems Operations. AIAA AVIATION 2024 Forum, July 29 - August 2, Las Vegas, NV.
  3. Lee, S. & Truong, D. (2024). Effects of Aviation Maintenance-Related Flight Incidents on Air Traffic in the National Air Space System. The Integrated Communications Navigation and Surveillance (ICNS) Conference, April 23-25. Herndon, VA.
  4. Truong, D. (2023). Airline Efficiency Evaluation Based on Employment for Airlines in the United States. AIAA AVIATION 2023 Forum, June 12-15, San Diego, CA.
  5. Truong, D. (2022). Applications of Natural Language Processing in Aviation Research. Decision Sciences Institute: 2022 Conference, November 19-21. Houston, TX.
  6. Truong, D. (2022). Predicting the Impact of COVID-19 on Air Transportation Volumes. AIAA AVIATION 2022 Forum, June 10.
  7. Truong, D. (2021). Teaching Data Analytics Courses at the Doctoral Level. Decision Sciences Institute: 2021 Conference, November 17-20. Virtual Conference.
  8. Truong, D. (2021). Predicting Air Travel Demand During and Post COVID-19. Decision Sciences Institute: 2021 Conference, November 17-20. Virtual Conference.
  9. Truong, D. (2021). Impact of COVID-19 on Air Travel Demand. Air Transportation Research Society (ATRS) 24thWorld Conference, August 26-29, 2021. Virtual Conference.
  10. Truong, D. (2021). Urban Air Mobility - Panel presentation. 2021 Series on Sustainable Global Inter-Regional Travel & Connectivity (SGITC), University of California Davis and National Renewable Energy Laboratory (NREL), June 24, 2021. Virtual Conference. 
  11. Wallace, R.J., Truong, D., Stansbury, R.S., & Engstrom, J. (2021). SUAS Operational Trends: A Multi-Year Detection Study in Controlled Airspace.  International Virtual Conference on Air Mobility with Unmanned Systems and Engineering (AMUSE), March 17. Nanyang Technical University, Singapore.  Retrieved from https://atmri.ntu.edu.sg/amuse/Pages/Programme.aspx
  12. Truong, D. (2020). Automated Predictive Accident Alert System for Vulnerable Road Users. Decision Sciences Institute: 2020 Conference, November 21-23. Online Conference.
  13. Truong, D. (2019). Internet of Things and Artificial Intelligence for Smart Airports. Decision Sciences Institute: 2019 Conference. November 23-25, 2019. New Orleans, LA. 
  14. Truong, D. (2019). Big Data Analytics in Aviation Research – Data Mining and SAS Enterprise Miner. 72th University Aviation Association Conference, October 1-4, 2019. Memphis, TN.
  15. Truong, D., & Choi, W. (2019). Using Machine Learning Algorithms to Predict the Risk of Small Unmanned Aircraft System Violations in the National Airspace System. Air Transportation Research Society (ATRS) 23rd World Conference, July 2-5, 2019. Amsterdam, Netherlands.
  16. Choi, W., & Truong, D. (2019). An Optimization Model for Airport Capacity Planning in the Metropolitan Areas. Air Transportation Research Society (ATRS) 23rd World Conference, July 2-5, 2019. Amsterdam, Netherlands. 
  17. Pan, J., & Truong, D. (2019). Investing in High Speed Rail: United States and China. Transportation Research Board 98th Annual Meeting, January 13-17, 2018. Washington, DC.
  18. Truong, D. (2018). Risk Assessment of Small Unmanned Aircraft System (sUAS) Operations. Decision Sciences Institute: 2018 Conference, November 17-19. Chicago, IL.
  19. Truong, D. (2017). Evaluating How Doctorate Recipients Make Their Career Decisions. Decision Sciences Institute: 2017 Conference, November 18-21. Washington D.C.
  20. Truong, D. (2017). Using Cluster Analysis to Develop a Risk Taxonomy for Small Unmanned Aircraft System. Institute for Operations Research and Management Sciences (INFORMS) 2017 Annual Meeting, October 22-25. Houston, TX.
  21. Hampton, S., Byrne, K., & Truong, D. (2017). Pilot Training Metrics at a Part 141 University Training Program. American Institute of Aeronautics and Astronautics (AIAA) AVIATION Forum, May 5-9. Denver, CO.
  22. Truong, D. (2017). Using Small Unmanned Aircraft Systems (sUAS) for Logistics: Benefits and Challenges, APICS Orlando - Mid Florida Chapter, May 9. Orlando, FL.
  23. Truong, D. (2017). Using Four-Step Cluster Analysis to Develop Airline Segmentation. The 2017 INFORMS Conference on Business Analytics & Operations Research, April 2-4. Las Vegas, NV.
  24. Pan, J, & Truong, D. (2017). How passengers select an airport in a multiple airport system – A preliminary study in Beijing. MBAA International Conference, March 22-24. Chicago, IL.
  25. Truong, D. (2016). How to Integrate Research Into Online Doctoral Business Analytics Courses? Decision Sciences Institute: 2016 Conference, November 19-22. Austin, TX.
  26. Buaphiban, T, & Truong, D. (2016). How Do Passengers Select Low Cost Carriers? Decision Sciences Institute: 2016 Conference, November 19-22. Austin, TX.
  27. Stolzer, A., Friend, M., & Truong, D. (2016). Measuring and Evaluating Safety Management System Effectiveness Using Data Envelopment Analysis. Fall Assembly on Faculty Research, November 15. Embry-Riddle Aeronautical University, Daytona Beach, FL.
  28. Friend, M.A., Stolzer, A., & Truong, D.  (2016). Evaluating SMS: What tools work well?  American Society of Safety Engineers Professional Development Conference, June 26-29.  Atlanta, GA.
  29. Truong, D. (2015). Selecting Appropriate E-Procurement Solutions for Your Purchase Needs. Decision Sciences Institute: 2015 Conference, November 21-24. Seattle, WA. 
  30. Jitpaiboon, T., Gu, Q., & Truong, D. (2015). The Study toward a Measure of Competitive priorities: Meta-Analysis. Decision Sciences Institute: 2015 Conference, November 21-24. Seattle, WA. 
  31. Truong, D., Chen, H. (2015). Prediction Modeling for a Complex and Dynamic System. INFORM Conference on Business Analytics & Operations Research, March 30 – April 1. Huntington Beach, LA.
  32. Tian Y., Chen H., Truong D., and Correa N. (2015). Identifying Secondary Crashes in Geographic Information Systems (GIS) : A Case Study of Interstate Highways in the State of Florida. 28TH  ICTPA Annual Conference, May 14-16. Los Angeles, CA.
  33. Truong, D. (2014). Cloud-Based Solutions for Supply Chain Management: A Post-Adoption Study. American Society of Business and Behavioral Sciences Conference, February. Las Vegas, NV.
  34. Truong, D. (2012). Development of an Apple Application to Enhance Student Learning Outcomes. Decision Sciences Institute: 2012 Conference, November 24-26. San Francisco, CA. 
  35. Truong, D. (2012). Cloud-Based Supply Chain. APICS Orlando - Mid Florida Chapter, May 8. Orlando, FL.
  • 2024 - present: Associate Dean for School of Graduate Studies and Professor.  Embry-Riddle Aeronautical University, Daytona Beach, FL.
  • 2017 - 2024: Professor of School of Graduate Studies and Program Coordinator for the Ph.D. in Aviation.  Embry-Riddle Aeronautical University, Daytona Beach, FL.
  • 2011 - 2016: Associate Professor of Doctoral Studies. Embry-Riddle Aeronautical University, Daytona Beach, FL.
  • 2009 – 2010: Associate Professor/Department Coordinator. Fayetteville State University, Fayetteville, NC.
  • 2003 – 2009: Assistant Professor. Fayetteville State University, Fayetteville, NC. 

Professional Certificate

  • Certified Supply Chain Professional (CSCP) – The Association for Supply Chain Management (ASCM), July 2008-present

Training Certificate

  • SAS Enterprise Miner: Advanced Predictive Modeling Using SAS Enterprise Miner Certification
  • SAS Enterprise Miner: Neural Network Modeling Using SAS Enterprise Miner Certification
  • SAS Enterprise Miner: Survival Data Mining Using SAS Enterprise Miner Certification
  • SAS Enterprise Miner: Applied Analytics using SAS Enterprise Miner Certification
  • STATISTICA Data Miner Training Certification
  • STATISTICA Automated Neural Network Training Certification

Professional Membership

  • American Institute of Aeronautics and Astronautics (AIAA) - Air Transportation Systems Technical Committee, USA
  • National Science Foundation (NSF) Review Panel - Directorate for Engineering, Advanced Manufacturing Division, USA
  • Transportation Research Board (TRB) - Airport Corporative Research Program (ACRP), AV040 - Aviation Economics and Forecasting Committee, USA
  • Transportation Research Board (TRB) - ADD20 - Social and Economic Factors of Transportation Committee, USA
  • The Association for Supply Chain Management (ASCM), USA
  • Decision Science Institute (DSI) Conference, USA
  • Institute for Operations Research and the Management Sciences (INFORMS), USA

Editorial Review Board and Invited Reviewer

  • International Journal of Aeronautical Science & Aerospace Research (Editorial review board)
  • International Journal of Aviation Systems, Operations and Training (Editorial review board)
  • Journal of Applied Business Discipline (Editorial review board)
  • Journal of Air Transport Management
  • Transportation Research Interdisciplinary Perspectives
  • Risk Analysis Journal
  • International Journal of Physical Distribution & Logistics Management
  • Transportation Research Record: Journal of the Transportation Research Board
  • International Journal of Productivity and Performance Management
  • International Journal of Management and Decision Making
  • The Open Cybernetics & Systemics Journal
  • Benchmarking: International Journal
  • Journal of Enterprise Information Management
  • Journal of Organizational Computing and Electronic Commerce
  • ACRP problem statements review
  • TRB conference paper review
  • Decision Sciences Institute conference paper review
  • ERAU FIRST program proposal review
  • Frank E. Sorenson’s Research Award for the outstanding achievement of excellence in aviation research and scholarship, 2022. University Aviation Association (UAA).
  • 2014 Blackboard Exemplary Course Award: DAV726- Quantitative and Qualitative Data Analysis
  • School of Business' Teacher of the Year Award, Fayetteville State University, 2008.
  • Department of Management's Teacher of the Year Award, Fayetteville State University, 2008.
  • Listed in Who's Who Amongst America's Teachers, 2007, for high achievements in teaching, Who's Who Amongst America's Teachers.
  • The Best Research Paper Award. “'A Theoretical Framework for Radio Frequency Identification and Supply Chain Management“, International Academy of Business and Public Administration Disciplines, 2007.
  • Listed in Marquis Who's Who in America, 2007, for high achievements in teaching and research, Marquis Who's Who in America.
  • The Best Research Paper Award. “A Study of Whistleblowing: A Cross-Cultural Comparison of Attitudes and Behavioral Intentions Between Russian and American Managers“, International Academy of Business and Public Administration Disciplines, 2006.
  • Honorable mention award for Elwood S. Buffa Doctoral Dissertation Competition, Decision Sciences Institute (DSI) Conference, San Francisco, 2005. 
  • 2004 Student Pacemaker of the Year for outstanding academic achievements. The University of Toledo, USA, 2004.
  • 25th Annual Edition of The National Dean's List, USA, 2002.