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.
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:
- Abnormal Infant Movements Classification with Deep Learning on Pose-based Features, IEEE Access http://hubertshum.com/pbl_access2020infant.htm
- Automatic Musculoskeletal and Neurological Disorder Diagnosis with Relative Joint Displacement from Human Gait, IEEE Transactions on Neural Systems and Rehabilitation Engineering http://hubertshum.com/pbl_tnsre2018disorder.htm
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 vision, computer graphics, 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.
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.
- A research interest in motion analysis, machine learning or artificial intelligence
- Knowledge in any modern programming languages
- A relevant undergraduate or master degree with good scores
- Good English https://www.dur.ac.uk/learningandteaching.handbook/1/3/3/1/
How to Apply
Formal applications should be done via https://www.dur.ac.uk/computer.science/postgraduate/research/
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