Duc Nguyen joined LIACS since October 2017 to work on the NWO project “Cross-industry platform for predictive maintenance optimization”. This project is a collaboration between LIACS, KLM and Honda. The project aims at developing a cross-industry predictive maintenance optimization platform, which address the real-world requirements for dynamic, scalable multiple-criteria maintenance scheduling. Although the system's capabilities will be demonstrated on application of aircraft engines (KLM) and passenger cars (Honda), it will be developed as a cross-industry platform for generic applications in predictive, multi-objective, dynamic maintenance scheduling.
Duc Nguyen obtained his PhD degrees in physics at the University of Amsterdam in 2012. Thereafter he worked for as a postdoctoral researcher at Wageningen University and Twente University and as a data scientist at The Netherlands Red Cross Society.
He has a wide background including physics, materials science, and data science. He has a number of strong publications that includes Nature Communications, Advanced Materials, Physical Review E, The Journal of Chemical Physics, Angewandte Chemie International, and Journal of Physics: Condensed Matter.
- Wang Y., Limmer S., Nguyen D.V., Olhofer M., BäckT.H.W. & Emmerich M.T.M. (2021), Optimizing the maintenance schedule for a vehicle fleet: a simulation-based case study, Engineering Optimization .
- Nguyen D.V., Kefalas M., Yang K., Apostolidis A., Olhofer M., Limmer S. & Bäck T.H.W. (2019), A Review: Prognostics and Health Management in Automotive and Aerospace, International Journal of Prognostics and Health Management 10(2): 35.
- Nguyen D.V., Limmer S., Yang K., Olhofer M. & Bäck T.H.W. (2019), Modeling and Prediction of Remaining Useful Lifetime for Maintenance Scheduling Optimization of a Car Fleet, International Journal of Performability Engineering 15(9): 2318-2328.
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