Dr Huy Truong-Ba
Faculty of Engineering,
School of Mech., Medical & Process Engineering
Biography
Dr. Huy Truong-Ba is a nationally recognised researcher in Asset Management, specialising in reliability analysis, degradation modelling, and maintenance optimisation. My research focuses on applying advanced methods to real-world industrial systems across defence, transportation, production, and energy, with the aim of enhancing asset performance, reducing risks, and extending lifecycle value. This research provides actionable insights to improve reliability, efficiency, and sustainability across diverse asset-intensive industries.Personal details
Positions
- Senior Research Fellow
Faculty of Engineering,
School of Mech., Medical & Process Engineering
Keywords
Reliability and Degradation Modelling, Maintenance Optimization, Engineering Asset Management, Condition-based Maintenance, Markov Decision Process
Research field
Mechanical engineering asset management, Planning and decision making, Data engineering and data science
Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2020
Qualifications
- Doctor of Philosophy (Queensland University of Technology)
Professional memberships and associations
Member of Asset Institute
Publications
Filter publications:
A complete list of publications is available at: https://www.qut.edu.au/about/our-people/academic-profiles/h.truongba
Supervision
Current supervisions
- A Structural Health Management Framework for Welded Steel Hulls in the Royal Australian Navy Surface Ships
PhD, Associate Supervisor
Other supervisors: Dr Ehsan Arzaghi - Feasibility Assessment and Reliability Analysis of Wind Energy Systems in Australia
PhD, Associate Supervisor
Other supervisors: Dr Ehsan Arzaghi, Professor Michael Cholette - Modelling Degradation of Key Components of Building HVAC Systems and Optimizing Maintenance Policies
PhD, Principal Supervisor
Other supervisors: Professor Michael Cholette, Professor Tommy Chan - Optimising Inspection and Maintenance Policy for Track Geometry considering Data from On-service Trains
PhD, Associate Supervisor
Other supervisors: Dr Ehsan Arzaghi, Professor Michael Cholette - Prediction and Maintenance Strategies for Railway Surface Defects
PhD, Associate Supervisor
Other supervisors: Professor Tommy Chan, Professor Michael Cholette - Stochastic Degradation Modeling and Maintenance Optimization for LED-based Lighting Systems of Commercial Buildings
PhD, Associate Supervisor
Other supervisors: Professor Michael Cholette, Professor Tommy Chan
Completed supervisions (Doctorate)
Supervision topics
The supervisions listed above are only a selection.