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Machine Learning based Human Motion Analysis for Automatic Diseases Diagnosis


Department of Computer Science

Applications accepted all year round Self-Funded PhD Students Only

About the Project

This project aims at researching machine learning algorithms for analyzing 3D human motion data (e.g. video, 3D joint positions) to diagnose motion-related diseases such as Parkinson’s disease and stroke.

The Project

Patients suffering from diseases such as Parkinson’s disease and stroke exhibit motion-related symptoms such as jittery movement and body imbalance. In this project, you will research into the machine learning algorithms that can automatically diagnose such diseases from captured motion data, which are usually represented as sequences of 3D joint positions/rotations or color/depth video. Apart for accurate diagnosis, the algorithms should also be explainable to human, i.e. be able to tell the user what features and logics have been used for making the decision, such that medical doctors can verify the results with expert knowledge. Successful outcomes can facilitate large-scale, early diagnosis of diseases at a low cost.

Related past research from our team includes:

Supervision

As a PhD student, you will be supervised by Dr Hubert Shum (http://hubertshum.com/), who is an Associate Professor in Computer Science at Durham University. He has published over 100 research papers in the fields of computer graphics, computer vision, motion analysis and machine learning. He has led funded research projects awarded by the UK Research Council, the Ministry of Defence and the Royal Society. This has facilitated him to supervised 23 PhDs and 6 Post-doctoral Researchers. Engaging both the academic and the industry, he hosted international conferences such as BMVC and the ACM SIGGRAPH Conference on MIG, as well as served as an Associate Editor of CGF and a Guest Editor of IJCV.

During the PhD study, you will receive comprehensive training and research coaching through regular one-to-one meetings with Dr Shum. Such interactive and tailored support can develop your strength and consolidate your research knowledge. Furthermore, Dr Shum’s research team has a supportive culture with team members from all over the world, which provides assistance and collaboration opportunities to each other. These have facilitated his past PhDs to publish their research in prestige journals (e.g. IEEE TIP, IEEE TVCG and IEEE TMM) and to develop their successful career.

Durham University

The position is based in Durham University, which is ranked the 4th in the UK by the Guardian and top 100 in the world by QS Top Universities. As a member of the elite Russell Group, Durham University focuses on research excellence delivered by world-class academics. It is located at Durham in North East England, which is one of the safest cities in the UK with an affordable living cost. The Department of Computer Science is one of the fastest-growing departments in the University, supported by major investments in staff recruitment and a £40m new academic building. 83% of its research outputs are considered as “world-leading” and “internationally excellent” by the UK Research Excellence Framework.

Entry Requirements


How to Apply

You are encouraged to send an email with a resume to Dr Hubert Shum for initial discussions. More information on http://hubertshum.com/
Formal applications should be done via https://www.dur.ac.uk/computer.science/postgraduate/research/


Funding Notes

This is a self-funded PhD position.

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