Dr Ryan Cunningham
Lecturer (Data Science)
My profile
Biography
Interested in machine learning/deep learning, data science, computer vision and artificial intelligence and enjoy researching and developing new technologies, which help to improve health and quality of life for a wide range of people. I completed a PhD in Computational Medical Image Analysis in 2015 and have published a number of articles in industry journals. I am currently developing deep learning (neural network) systems for segmenting and analysing skeletal muscle in real time via medical ultrasound equipment, to enable early diagnosis and monitoring of diseases such as motor neuron and dystonia.
Experienced in programming in a variety of languages, I am adept at converting concepts and ideas into usable software and implementing advanced algorithms from complex research. In previous roles, I developed web applications for a private sector firm and taught advanced programming at undergraduate level. A confident speaker with a passion for new developments in data science and artificial intelligence, I have gained science communication experience through delivering presentations and seminars at international conferences and university.
Specialties: Data Science | Big Data | Machine Learning | Statistical Analysis | Computer Programming | Artificial Intelligence | Computer Vision | Scientific Research | Neural Networks | MATLAB | Python | Java | C/C++
Academic and professional qualifications
2012-2015
Ph.D, Computing, Manchester Metropolitan University
2009-2011
BSc, Artificial Intelligence, Manchester Metropolitan University
2007-2009
HND, Computing, The Manchester College
Personal website address
Teaching
Postgraduate teaching
High Performance Computing and Big Data: I currently teach (Deep Learning) TensorFlow as a high performance numerical computation framework.
Supervision
PhD Computing (in progress): Application of Deep Learning to macro and micro facial expressions in long, high spatiotemporal resolution videos
Research outputs
Research expertise
Machine Intelligence, Deep Learning, Medical Image Analysis (Ultrasound, (f)MRI).
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Journal articles
Yap, C.H., Yap, M.H., Davison, A.K., Cunningham, R. (2023) 'Self-supervised spontaneous latent-based facial expression sequence generation.' IEEE Open Journal of Signal Processing, 4pp. 304-312.
Yap, C.H., Cunningham, R., Davison, A.K., Yap, M.H. (2021) 'Synthesising facial macro-and micro-expressions using reference guided style transfer.' Journal of Imaging, 7(8) pp. 142-142.
Cunningham, R., Loram, I. (2020) 'Estimation of Absolute States of Human Skeletal Muscle via Standard B-Mode Ultrasound Imaging and Deep Convolutional Neural Networks.' Journal of the Royal Society Interface, 17(162)
Loram, I., Siddique, A., Sanchez Puccini, M.B.B., Harding, P., Silverdale, M., Kobylecki, C., Cunningham, R.J. (2020) 'Objective analysis of neck muscle boundaries for cervical dystonia using ultrasound imaging and deep learning.' IEEE Journal of Biomedical and Health Informatics, 24(4) pp. 1016-1027.
Cunningham, R., Sánchez, M.B., Butler, P.B., Southgate, M.J., Loram, I.D. (2019) 'Fully automated image-based estimation of postural point-features in children with cerebral palsy using deep learning.' Royal Society Open Science, 6(11)
Cunningham, R., Sánchez, M., May, G., Loram, I. (2018) 'Estimating Full Regional Skeletal Muscle Fibre Orientation from B-Mode Ultrasound Images Using Convolutional, Residual, and Deconvolutional Neural Networks.' Journal of Imaging, 4(2)
Loram, I., Bate, B., Harding, P., Cunningham, R., Loram, A. (2017) 'Proactive selective inhibition targeted at the neck muscles: this proximal constraint facilitates learning and regulates global control.' IEEE Transactions on Neural Systems and Rehabilitation Engineering, 25(4) pp. 357-369.
Cunningham, R., Harding, P., Loram, I. (2016) 'Real-Time Ultrasound Segmentation, Analysis and Visualisation of Deep Cervical Muscle Structure.' IEEE Transactions on Medical Imaging, 36(2) pp. 653-665.
Harding, P., Hodson-Tole, E.F., Cunningham, R., Loram, I., Costen, N.P. (2012) 'Automated detection of skeletal muscle twitches from B-mode ultrasound images: An application to Motor Neuron Disease.' International Conference on Pattern Recognition, pp. 2630-2633.
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Conference papers
Cunningham, R., Harding, P., Loram, I. (2017) 'Deep residual networks for quantification of muscle fiber orientation and curvature from ultrasound images.' In 21st Annual Conference, Medical Image Understanding and Analysis (MIUA 2017). 723. Edinburgh, UK, 11/7/2017 - 13/7/2017. Springer International Publishing AG, pp. 63-73.
Cunningham, , Loram, I.D., Gollee, H., Zenzeri, J. (2016) 'Intermittent control of unstable multivariate systems with uncertain system parameters.' In IEEE 38th Annual International Conference of the Engineering in Medicine and Biology Society (EMBC). Orlando, FL, USA, 16/8/2016 - 20/8/2016. IEEE,
Darby, J., Li, B., Cunningham, R., Costen, N.P. (2012) 'Object localization via action recognition.' pp. 817-820.