Dr Xinwei Wang
BSc (Honours), PhD
Research Overview
Systems Engineering, Transport Systems, Risk Assessment and Motion Planning, Operations Research, Optimisation Algorithms, Artificial Intelligence
Interests
Large-scale complex systems, such as space and transport systems, are evolving to become more flexible and adaptive. However, this increased flexibility has also introduced greater complexity, driving the need for system transitions that prioritise environmental sustainability, resilience against disruptions, and explainability to support informed decision-making. Addressing these demands requires the integration of systems engineering with emerging computational intelligence, operational research (OR), and artificial intelligence (AI) approaches. Yet, the rapid advancement of these technologies brings fundamental scientific challenges, including:
- How can we effectively integrate systems engineering with computational intelligence, OR and AI to manage uncertainty, enhance safety, and improve decision-making?
- How can we assess the potential impacts of these innovations on operational safety, system efficiency, and environmental sustainability?
- How can we design systems that are sustainable, resilient, and explainable to address the evolving needs of current and future infrastructure?
Figure 1. Illustration of the research vision centred on integrated systems engineering.
In response to the pressing demands of sustainable, resilient and explainable systems and the identified challenges above, my research vision, as outlined in Figure 1, is to tackle the scientific challenges in integrating systems engineering, computational intelligence, OR and AI approaches with space and transport applications. In summary, my vision includes:
- Conducting sustainable, resilient and explainable systems engineering research with a strong interdisciplinary foundation, yielding high-impact outcomes;
- Translating knowledge and engineering solutions into actionable applications to space and transport systems for both public and private stakeholders;
- Establishing and leading a research group of PhD students and postdoctoral researchers to mentor the next generation of systems engineering experts and tackle critical challenges.