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Resume (English only)
Academic Achievements
- Publications: Over 40 papers, including TR Part C, IEEE T-ITS, IEEE T-SMC, IEEE T-FS, IEEE T-VT, IEEE T-AES, etc.
- Awards: Marie Sklodowska-Curie Actions Co-Fund Fellowship (2022), IEEE ITSS Young Professionals Travelling Fellowship (2022)
- Other Achievements: Listed in Top 2% Scientists in Aerospace & Aeronautics Worldwide by Stanford University
Research Experience
- Position: Lecturer in Systems Engineering at Queen Mary University of London
- Work Experience: Postdoctoral researcher, worked at Beihang University, TU Delft, and QMUL
- Research Projects: Integrated computational intelligence, machine learning, and systems engineering for risk assessment, motion planning, and decision making in intelligent systems
Education
- PhD: Beihang University, 2019
- Postdoc Experience: TU Delft, 2020-2022; QMUL, 2019-2020
Background
- Research Interests: Artificial Intelligence, Machine Learning, and Operational Research with applications in Decision Support and Risk Assessment
- Professional Field: Modelling, optimisation, and decision-making, cross-cutting engineering applications for aerospace and transport systems
- Brief Biography: Lecturer in Systems Engineering at Queen Mary University of London, enthusiast about space, aviation, and transport.
Miscellany
- Personal Interests: Space, aviation, and transport
- Welcomes motivated graduate/undergraduate students to contact for PhD research or collaboration