Dr Xinwei Wang
BSc (Honours), PhD
Lecturer in Systems Engineering
Engineering 334, Mile End
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Please contact me via email for a meeting |
| Expertise: | My research lies at the interface of Artificial Intelligence, Machine Learning 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 aerospace and transport systems. |
| Research Centre: |
Brief Biography
Enthusiast about space, aviation, and robotics.
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 and at QMUL from 2019 to 2020, respectively. He obtained a PhD degree from Beihang University, China in 2019. Over the years, he has integrated computational intelligence, machine learning and systems engineering for risk assessment, motion planning and decision making in intelligent systems.
He is a recipient of the Marie Sklodowska-Curie Actions Co-Fund Fellowship (2022), and IEEE ITSS Young Professionals Travelling Fellowship (2022). He has authored over 30 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 email your CV if you are interested in doing a PhD or research collaboration.
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 and at QMUL from 2019 to 2020, respectively. He obtained a PhD degree from Beihang University, China in 2019. Over the years, he has integrated computational intelligence, machine learning and systems engineering for risk assessment, motion planning and decision making in intelligent systems.
He is a recipient of the Marie Sklodowska-Curie Actions Co-Fund Fellowship (2022), and IEEE ITSS Young Professionals Travelling Fellowship (2022). He has authored over 30 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 email your CV if you are interested in doing a PhD or research collaboration.