Dr Wim Verhagen is an Associate Professor in the School of Engineering, teaching and researching in aircraft maintenance, with a particular focus on predictive maintenance and decision support. He is the Deputy Head of Department, Research & Innovation, for the Aerospace Engineering department at RMIT University.
Dr Verhagen is responsible for teaching in aircraft maintenance, including theoretical and practical approaches towards prediction, planning, execution and control of maintenance.
Dr Verhagen's research covers predictive maintenance and decision support. With respect to predictive maintenance, Dr Verhagen's research efforts focus on the development, implementation and validation of data-driven and hybrid diagnostic and prognostic models for aircraft systems. With respect to decision support, his research covers a comprehensive and integrated set of models to streamline and optimize maintenance planning, execution and control on operational and tactical time horizons.
Dr Verhagen has worked extensively with industry and in collaborative research projects, as part of his former assistant professorship at his alma mater TU Delft and currently as part of RMIT. Highlights include being TUD's principal investigator on the Clean Sky 2 AIRMES project and project co-coordinator and co-PI on the 5.6 million euro H2020 ReMAP, as well as various CI positions on projects with Australian partners. Dr Verhagen is responsible for the supervision of undergraduate and postgraduate research students, and has over 100 publications that can be found at Web of Science, Scopus, Google Scholar and ResearchGate.
Industry experience:
- Clean Sky 2 AIRMES / ADVANCE consortium (including TAP Portugal (coordinator), Airbus, Thales, Meggitt, Honeywell, DLR, a.o.)
- Horizon 2020 ReMAP consortium (including KLM, UTRCI, Embraer, ATOS, ONERA, a.o.)
- National industry collaborations within Australia, including DSTG, CASG, Jetstar, a.o.
- National industry collaborations within The Netherlands, including NLR, RNLAF, KLM E&M, Fokker Services, a.o.
- International industry collaborations, including Cargolux, Qantas, Kenya Airways, NASA, a.o.
Research fields
4001 Aerospace engineering
400199 Aerospace engineering not elsewhere classified
460902 Decision support and group support systems
460209 Planning and decision making
4611 Machine learning
UN sustainable development goals
9 Industry, Innovation and Infrastructure
Academic positions
Deputy Head of Department, Research & Innovation
RMIT University
Aerospace Engineering
Melbourne, Australia
1 Apr 2024 – Present
Associate Professor
RMIT University
Aerospace Engineering
Melbourne, Australia
1 Jan 2024 – Present
Senior Lecturer
RMIT University
Aerospace Engineering & Aviation
Melbourne, Australia
2 Dec 2019 – 31 Dec 2023
Assistant Professor
Delft University of Technology
Aerospace Engineering
Delft, Netherlands
1 Jul 2013 – 30 Nov 2019
Supervisor projects
Efficient transfer learning across domains and data modalities
23 Sep 2024
Maintenance decision support for predicted composite impact damage events
22 Dec 2022
Sensor expansion for hydrodynamic components
13 Dec 2022
Maintenance decision support for predicted composite impact damage events
8 Dec 2022
Granular Metamaterials for Wave Control
7 Nov 2022
Smart Tuft Sensors for Measuring Flow Speed and Turbulence
3 Dec 2021
Structural Prognostics and Health Management
26 Jul 2021
How does training moderate the critical decision making in pilots when exposed to adverse flight conditions?
7 Jul 2020
Teaching interests
Course coordinator and lecturer for AERO2347 / AERO2457 / AERO2486 Aircraft Maintenance Management.
Course coordinator and lecturer for AERO2542 Aviation Quality Systems.
Course coordinator and lecturer for OENG1199 Investigation Analysis and Analytical Writing Techniques
Research interests
Predictive maintenance, including
prognostics and health management (PHM)
condition-based maintenance (CBM)
diagnostic and prognostic algorithm development
Decision support, including
operational decision support processes
natural language processing (NLP)
mixed reality (MR)
maintenance planning optimization
inventory management
Acknowledgement of Country
RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business - Artwork 'Sentient' by Hollie Johnson, Gunaikurnai and Monero Ngarigo.