Computer Science

I am a Lecturer (Assistant Professor) in Computer Vision and Machine Learning at the Department of Computer Science, University of Exeter, where I lead the Multimodal Intelligence Lab. We aim to investigate how Multimodal AI along with other disciplines helps develop a greener, healthier, and fairer society underpinned by UoE’s 2030 strategy. We’re specifically focusing on the core development of computer vision and machine learning and its applications in healthcare, environment, and social science.

 

Before that, I was a postdoctoral researcher at the Department of Engineering Science, University of Oxford, and was a member of the Oxford Biomedical Image Analysis (BioMedIA) group, advised by Prof Alison Noble and Dr Michael Suttie. I worked on an NIH-funded project which is in conjunction with the Collaborative Initiative on Fetal Alcohol Spectrum Disorders (CIFASD), to develop a fully automated, objective evaluation of facial features associated with FASD, utilizing 3D surface modelling, deep learning and shape analysis. I also worked on an ERC-funded project named Perception Ultrasound by Learning Sonographic Experience (PULSE), which aims to develop multi-modal machine learning and computer vision systems that can model the sonographer’s expertise to reduce the need for highly trained ultrasound operators.

 

Before Oxford I was a research assistant at the School of Engineering, Newcastle University, advised by Prof Satnam Dlay. I worked on an MRC-CiC sponsored project to apply cutting-edge non-contact ocular imaging, and machine/deep learning techniques to find a means of improving diagnosis of the most common medical complication of pregnancy, pre-eclamptic toxaemia. At the same institution, I obtained a PhD degree in signal processing and machine learning and was a member of Signal Processing and AI research group, advised by Prof Jonathon Chambers and Dr Mohsen Naqvi. I worked on a DSTL & EPSRC funded project ‘Signal Processing Solutions for the Networked Battlespace’ and was part of the LSSCN Consortium of University Defence Research Collaboration (UDRC), where I developed novel data association algorithms for multiple human tracking in video.

 

Highly self-motivated UG/MSc/PhD students, research fellows, and visiting students/scholars are welcome to join my team. Please drop me an email along with your CV and research plan if you are interested in working with me.

 

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