I am a Senior Lecturer in Artificial Intelligence in the Department of Computer Science and a member of the Nature Inspired Computing and Engineering (NICE) Group. Prior to joining Surrey, I was a Postdoctoral Research Assistant in Machine Learning working with Steve Roberts in the Machine Learning Research Group, University of Oxford. I was also a Junior Research Fellow at Wolfson College, University of Oxford. I completed my Ph.D. in electrical engineering with Mark Coates at McGill University in Montréal, Canada.
My research interests are in the design and development of machine learning solutions that improve human life. My ongoing and past research efforts are particularly focused on the areas of AI for health, including dental disease detection with radiographs, breast cancer detection with RF sensors, and device-free target tracking in sensor networks with applications on healthcare monitoring. My work on malaria-vectoring mosquito detection using low-cost mobile phones have received media coverage from BBC, the Guardian, New Scientist, Digital Trends, and MIT Technology Review, among other venues.
Areas of specialism
I am actively looking for PhD students with a strong interest and background in deep learning and Bayesian inference. One fully funded PhD studentship (UK/EU/international tuition + stipend for 3 years) is available on the topic of "Uncertainty Quantification for Robust AI through Optimal Transport". Please contact me if you are interested in working with me. We support China Scholarship Council (CSC) scholarship applications with tuition fee waiver.
In the media
I am interested in foundational machine learning topics motivated by applications aiming to improve human life and environment. I am currently working on improving the ability of deep neural networks to quantify uncertainty in their predictions, which can benefit vast data science domains, from disease diagnostics to environment sensing. My work on trustworthy AI has found applications in cancer detection, biomedical imaging, and infectious disease monitoring.
Building an AI-powered system with the capability in recognising normal anatomical structures and differentiate from subtle abnormalities in digitised dental radiographic images.
Postgraduate research supervision
Postdoctoral Research Fellow:
Govind Sharma (2021 - )
Conghui Hu (2020 - 2021; now a research fellow at National University of Singapore)
PhD students (Principal Supervisor):
Xiongjie Chen (2019 - )
Hao Wen (2019 - )
Camellia Ruoqing Yin (2020 - )
PhD students (Co-supervisor):
Narges Pourshahrokhi (2019 - )
Xilu Wang (2019 - )
Galen Wilkerson (2019 - )
Guoyang Xie (2019 - )
Shiqing Liu (2020 - )
Xinhao Mei (2021 - )
Undergraduate student research researcher:
Zamzam Mohamed (2021)
Georgios Papagiannis (2019 - 2020; now a PhD at Imperial College London)
Completed postgraduate research projects I have supervised
- COMM054: Data Science Principles and Practices (2019 - )
- COM1033: Foundations of Computing II (2018 - )
- Year 1 (undergraduate) Coordinator and Personal Tutor (2018 - )
- Industry Placement Visiting Tutor (2018 - )
- Departmental Seminar Organiser (2018 - 2019)