Shirin Enshaeifar

Dr Shirin Enshaeifar


Visiting Lecturer in Machine Learning for Healthcare
PhD, MSc, BSc

Biography

Areas of specialism

Machine learning and data analytics with application in healthcare; Analytical modelling, simulations, and statistical analysis

University roles and responsibilities

  • Visiting Lecturer in Machine Learning for Healthcare

    Supervision

    Postgraduate research supervision

    My publications

    Publications

    Journals:

    • S. Enshaeifar, P. Barnaghi, et al., “Internet of Things for Dementia Care”, (in Press) IEEE Internet Computing Magazine, 2017.
    • S. Enshaeifar, N. Farajidavar, et al., “Recognising Bone Loading Exercises In Older Adults Using Machine Learning” (Abstract), Medicine& Science in Sports & Exercise, 49(5S):650, 2017.
    • S. Enshaeifar, C.C. Took, C. Park and D. P. Mandic, “Quaternion Common Spatial Patterns”, (in Press) IEEE Transaction on Neural Systems and Rehabilitation Engineering, DOI: 10.1109/TNSRE.2016.2625039, 2016.
    • S. Enshaeifar, S. Kouchaki, C.C. Took and S. Sanei, “Quaternion Singular Spectrum Analysis of Electroencephalogram with Application in Sleep Analysis”, IEEE Transaction on Neural Systems and Rehabilitation Engineering, vol. 24, no. 1, pp. 57-67, 2016.
    • S. Enshaeifar, L. Spyrou, S. Sanei and C.C. Took, “A Regularised EEG Informed Kalman Filtering Algorithm”, Elsevier Biomedical Signal Processing and Control, vol. 25, pp. 196-200, 2016.

    Conferences:

    • S. Enshaeifar, S. A. Hoseinitabatabaei, A. Ahrabian and P. Barnaghi, “Pattern Identification for State Prediction in Dynamic Data Streams”, in Proc. of IEEE International Conference on Internet of Things (iThings), 2017.
    • A. Ahrabian, S. Enshaeifar, C. C. Took and P. Barnaghi, “Stream Data Analysis As a Web Service: A Case Study Using IoT Sensor Data”, in Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017.
    • Y. Fathy, P. Barnaghi, S. Enshaeifar and R. Tafazolli, “A Distributed In-network Indexing Mechanism for the Internet of Things”, in Proc. of IEEE World Forum on Internet of Things (WF-IoF), 2016.
    • S. Enshaeifar, C.C. Took, S. Sanei and D. P. Mandic, “Novel Quaternion Matrix Factorisation”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 3946-3950, 2016.
    • S. Mahvash, S. Enshaeifar, S. Sanei and M. Ghavami, “Classification of Awake, REM, and NREM from EEG via Singular Spectrum Analysis”, IEEE International Conference on Engineering in Medicine and Biology Society (EMBS), pp. 4769-4772, 2015.
    • S. Kouchaki, S. Enshaeifar, C. C. Took and S. Sanei, “Complex Tensor based Blind Source Separation of EEG for Tracking P300 Subcomponents”, IEEE International Conference on Engineering in Medicine and Biology Society (EMBS), pp. 6999-7002, 2015.
    • K. Eftaxas, S. Enshaeifar, O. Geman, S. Kouchaki and S. Sanei, “Detection of Parkinsons Tremor from the EMG Signals; A Singular Spectrum Analysis Approach”, IEEE International Conference on Digital Signal Processing (DSP), pp. 398-402, 2015.
    • S. Enshaeifar, S. Sanei and C.C. Took, “Singular spectrum analysis for tracking of P300”, IEEE International Joint Conference on Neural Networks (IJCNN), pp. 502-506, 2014.
    • S. Enshaeifar, S. Sanei and C.C. Took, “An eigen based approach for complex valued forecasting”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 6014-6018, 2014.
    • O. Diaz, P. Elangovan, S. Enshaeifar, M.C. Veale, M.D. Wilson, P. Seller, R. Cernik, S. Pani, K. Wells, “Breast CT image simulation framework for optimisation of lesion visualisation,” IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), pp. 1-5, 2013.