Dr Xinwei Wang
BSc (Honours), PhD
Lecturer in Systems Engineering
Engineering 334, Mile End
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| Expertise: | My research lies at the interface of Optimisation Algorithms and Operational Research with applications in Decision Support and Risk Assessment Systems. Over the years, I have consolidated and structured my research along modelling, optimisation and decision, and cross-cutting engineering applications: optimisation and decision for sustainable transport systems. |
| Research Centre: |
Brief Biography
Xinwei Wang is a Lecturer (Assistant Professor) at Queen Mary University of London (QMUL), UK. He was a Postdoc at TU Delft, The Netherlands from 2020 to 2022. Prior to that, he was a Postdoc at QMUL from 2019 to 2020, and he obtained a PhD degree from Beihang University, China in 2019. Over the years, he has integrated optimisation algorithms and systems engineering for risk assessment, motion planning and decision making in transport systems.
He is a recipient of Marie Sklodowska-Curie Actions Co-Fund Fellowship (2022), and IEEE ITSS Young Professionals Travelling Fellowship (2022). He has authored over 20 papers, including those in TR Part C, IEEE T-ITS, IEEE T-SMC, IEEE T-FS, IEEE T-VT, IEEE T-AES, etc.
Xinwei enjoys working with self-motivated graduate/undergraduate students. Please send an email with your CV if you are interested in doing an intern or research collaborations.
He is a recipient of Marie Sklodowska-Curie Actions Co-Fund Fellowship (2022), and IEEE ITSS Young Professionals Travelling Fellowship (2022). He has authored over 20 papers, including those in TR Part C, IEEE T-ITS, IEEE T-SMC, IEEE T-FS, IEEE T-VT, IEEE T-AES, etc.
Xinwei enjoys working with self-motivated graduate/undergraduate students. Please send an email with your CV if you are interested in doing an intern or research collaborations.