Dr Ali Roula
Reader in Biomedical Engineering, MIEEE, MIET
PhD in Computer Science, Ingénieur (M.Eng.) in Electronics Engineering
Dr. Roula is the head the Medical Electronics and Signal Processing Research Unit.
He also acts as the postgraduate program leader for Electrical and Electronics awards at the Faculty of Computing, Engineering and Science.
Dr. M. A. Roula obtained a PhD in Medical Imaging from Queen’s university of Belfast in 2004. During his PhD project, Dr. Roula worked in a multidisciplinary project at the Queen’s university of Belfast (QUB) to develop an automated computer system for the analysis of prostatic tumours. He also worked on developing 3D texture models for reconstructed CLSM (Confocal Laser scanned Microscopy) images of prostatic nuclei which allow discrimination between normal and malignant cells.
After his PhD, Dr. Roula joined the faculty of advanced technology at the University of Glamorgan (UG) as a senior lecturer where he is involved teaching various electronics and computing modules as well as active research within the medical imaging research unit. He recently secured a EPSRC research grant to pursue research in computational aspects of applying MIT models for imaging in industrial as well as medical applications such as localisation of brain strokes.
Currently Dr. Roula is investigating the use of EEG brain computer interfacing as communication and transportation aid for people with severe motor disability.
Dr. Roula is a regular reviewer of computing conferences such as IEEE IACSSA and journals such as pattern recognition and has published over 30 research papers in field of computing and imaging.
Managerial ActivitiesHead of the Medical Electronics and Signal Processing Research Unit. Post Graduate program leader for Electronics’ MSc awards (MSc Embedded systems , MSc Electronics and IT, MSc Satellite communications, MSc Optoelectronics) Projects’ coordinator for Electronics (Postgraduate and Undergraduate). Member of CES Faculty Research Committee
Previous responsibilitiesMember of school teaching and learning committee (2003-2005), Member of the departmental research Committee (DRPC) (2004 -2005). BEng Course leader for electronics (2013-2014) Year tutor – (various years)
Current TeachingApplied Digital Signal processing (MSc) Product Management (MSc) Project Management (Year 3/4) C Programming and Embedded systems (Year1). Fundamentals of Embedded Systems (Year 0)
Digital and Analogue Electronics, Embedded Operating systems (MSc), Digital Systems, Physiological Measurements, Software programming (C++, VB), Instrumentation systems (for aircrafts).
Selection of Recent Publications:
Ahmed Izzidien, Sriharsha Ramaraju, Mohammed Ali Roula and Peter McCarthy, Effect of Anodal tDCS on Event Related Potentials: A Controlled Study. , Journal: Biomed Research International, – published under special issue “Neural Engineering for Rehabilitation” , November, 2016 .
Ziyi Zhang, Mohammed Ali Roula*, Stuart Watson, Ralph Patz, Richard Dinsdale “Magnetic Induction Spectroscopy Measurements with Yeast Suspensions", IEEE EMBC, 2016.
Sriharsha Ramaraju, Mohammed Ali Roula*, “Effects Personality Type on the Effect of A-Tdcs on Work Memory Test Performance”, IEEE EMBC, 2016.
S. Ramaraju*, A. Izzidien, C. Emina, M. A. Roula, “Identification of Levels of Interest in Political Speech Using EEG Patterns”, IEEE EMBC 2015.
S. Ramaraju*, A. Izzidien, M. A Roula, “The Detection and Classification of the Mental State Elicited by Humor from EEG Patterns" IEEE EMBC 2015.
Sriharsha Ramaraju*, Ahmed Izzidien, Mohammed Ali Roula, “The Affect of tDCS on Humor
Recall: A Randomized, Double Blind Placebo Controlled EEG Study”, IEEE EMBC 2015.
A. Izzidien, S. Ramaraju, M. A. Roula, J. Ogeh and P. McCarthy, “The Effect of tDCS on ERD Potentials: A Randomized, Double-Blind Placebo Controlled Study.” accepted for publication at the 2014 IEEE Symposium Series on Computational Intelligence 2014.
S. Ramaraju, A. Izzidien, M. A. Roula, and P. McCarthy, “The Effect of tDCS on P300 Potentials: A Randomized, Double-Blind Placebo Controlled Study”, accepted for publication at the 2014 IEEE Symposium Series on Computational Intelligence 2014.
Y. Mamatjan, M A Roula, S. Watson, K. Ubul, R. J. Williams “Factors affecting Sensitivity Maps in Magnetic Induction Tomography”, 15th International Conference on Biomedical Applications of Electrical Impedance Tomography EIT, 2014.
A. Izzidien, M. A. Roula, S. Mallipudi, S. Chaitanya Ogirala, S. Bantupalli. “Brain Computer Interfacing Using Humour and Memory Recall” , book chapter in: lecture note in computer science ICONIP proceedings, ISBN 3642344747, 2012, Springer, pp 681-688, 2012.
M. A. Roula, J. Kulon, Y. Maimaitijiang, “Brain-Computer Interface speller using hybrid P300 and motor imagery signal”, pp 224-227. IEEE BioRob, DOI: 10.1109/BioRob.2012.6290944, 2012.
S. Bouatmane, M. A. Roula, A. Bouridane and S. Al-Maadeed, “Round-Robin sequential forward selection algorithm for prostate cancer classification and diagnosis using multispectral imagery” Journal:Machine Vision and Applications. , Springer Verlag, Sept. 2010.
Y. Maimaitijiang, J. Kahlert, M. A. Roula, D. D.Y. Chen, M. Hamsch “Approaches for Improving Image Quality in Magnetic Induction Tomography” Physiological Measurements journal IOP. ,Volume 31, issue 8, August 2010.
Y. Maimaitijiang, M.A. Roula, S. Watson, R. Patz, R.J. Williams, H. Griffiths “Parallelization Methods for Implementation of Magnetic Induction Tomography Forward Models in Symmetric Multiprocessor Systems,” Journal of Parallel Computing. ”, Elsevier , v34, ISSN:0167-8191,pp. 497-507, 2008.
Y. Maimaitijiang, M.A. Roula, S. Watson, G. Meriadec, K. Sobaihi, R.J. Williams “Evaluation of Parallel Accelerators for High Performance Image Reconstruction for Magnetic Induction Tomography”, Journal of Selected Areas in Software Engineering, January 2011.
M.A. Roula, “Multispectral Imaging: Application To Pathology”, book published by VDM Verlag, 208 pages, ISBN: 978-3836495141, 2009. link.
Tahir, A. Bouridane, M.A. Roula “Prostate Cancer Classification using Multispectral Imagery and Evolutionary Heuristics”, book chapter in Computational Intelligence in Medical Imaging: Techniques & Applications, CRC Press, Nov. 2008. ISBN: 9781420060591.
Kulon J., Roula M.A., Al‐Daher Z., Zhang L., An FFT based algorithm for particle charge measurement in the presence of a square‐wave excitation field using Phase Doppler Anemometry. IEEE International Conference on Industrial Technology (ICIT 2013), pp.1069-1074, Feb. 25-27, 2013, Cape Town, South Africa
Y. Maimaitijiang, M.A. Roula, S. Watson, R. Patz, R.J. Williams, H. Griffiths, “Efficient Parallelisation of 3-D Finite-difference Algorithm Using PETS Library” Book chapter: Science and Supercomputing in Europe, ISBN: 978-88-86037-21-1, 376-381 , 2007.
Y. Maimaitijiang, S. Watson, M.A. Roula, R. Patz, R.J. Williams, H. Griffiths, “Parallel Implementation of a Magnetic Induction Tomography forward modeller by Physical Domain and Coils”, chapter in Science and Supercomputing in Europe, ISBN:978?88-86037?19-8, 407?414, 2006.
J. Kulon, L. Zhang, M. A. Roula, ?Effects of System Parameters on Particle Statistics in Aerosol Charge and Size Measurement in Oscillatory Electric Fields". IEEE International Instrumentation and Measurement Technology Conference. 2011
Y. Maimaitijiang, H. C. Wee (AT), M.A. Roula, S. Watson, R. Patz, R.J. Williams, “Evaluation of Parallel FFT Implementations on GPU and Multi-core PCs for Magnetic Induction Tomography”, World Congress on Medical Physics and Biomedical Engineering WC2009, Munich, 2009.
M.A. Roula, “Proteomic Characterization Using Active Shape And Non-Gaussian Stochastic Texture Models”, IEEE International Conference on Image processing ICIP, 2009.
Y. Maimaitijiang, M. A. Roula, K. Sobeihi, S. Watson, R.J. Williams, H. Griffiths, “A Parallel Implementation of a Magnetic Induction Tomography: Image Reconstruction Algorithm on the ClearSpeed Advance Accelerator Board”, IEEE International Conference on Image processing ICIP 2009.
Member of Institute of Electrical and Electronics Engineers (IEEE)
Member of IEEE Biomedical Engineering Society
Member of the Institution of Engineering and Technology (IET)
Areas of interest includeBrain Computer Interfacing. Biomedical signal processing. High performance Computing.
Dr. Roula’s main research interest is medical signal and image. He is also involved in the Magnetic Induction Tomography (MIT) research team which aims at developing contactless and non-invasive imaging methods for medical and non-medical applications. A current interest of Dr. Roula’s research is Brain Computer Interfacing (BCI) using EEG.
Grants & Funding
Dr. Ali Roula has recently been awarded a “research and innovation grant” to work on project untitled “Designing Better Adaptive Brain Computer Interfaces for Stroke Rehabilitation using High Performance Computing”. The project – of a total value of £81,000- is partly funded by HPC Wales and will be conducted in collaboration with Prof. Peter McCarthy and Neuradaptix Ltd.
Dr. Roula awarded a Welsh crucible grant to collaborate with researchers from Cardiff university’s school of psychology on using computer vision for autism research.
The grant of a value of £7351 was awarded as a competitive process opened to participants of the Welsh Crucible 2013. The project untitled “Social communication in autism spectrum disorder: The role of synchrony explored using computer pattern matching” will look at using computer vision techniques to quantify and, test hypothesis about, various elements of social interaction in autism spectrum disorder. Dr. Roula’s role will focus on the computer vision and pattern recognition aspects of the project.
In 2008, Dr. Roula secured an EPSRC grant worth £94,000 to fund a project of a total value of £117,000. The Project untitled “Implementation of Magnetic Induction Tomography image reconstruction algorithms on Clearspeed Advance co-processor” will aim at developing High performance computing software tools for Magnetic induction tomography (MIT).
Dr. Roula was also the recipient of 2 URIS faculty grants worth about ï¿½10k each. The first, to pursue feasibility research in “adaptive meshing” techniques for MIT forward modelling. The second and the more current project focuses on exploring the use of EEG signal form brain computer interfacing for application in communication and mobility aid for people with motor disability. Additionally, Dr. Roula was the recipient of a travel grant from the royal society of engineering to attend an invited talk at CMOS emerging technologies meeting.
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