Khamis, Heba - University of New South Wales - Graduate School of Biomedical Engineering

个人简介

Dr Heba Khamis is an Associate Lecturer at the Graduate School of Biomedical Engineering at The University of New South Wales (UNSW). She completed her Bachelor of (Software) Engineering/Bachelor of Medical Science at the University of Sydney (USyd), in 2007, and also completed her PhD in developing methods for epileptic seizure detection from EEG at the same institute in the School of Electrical and Information Engineering in 2011. After working as a External Lecturer at USyd and an appointment as a Postdoctoral Research Fellow at the University of Western Sydney (UWS) and Neuroscience Research Australia (NeuRA), she was recently appointed as an Associate Lecturer at UNSW.

研究领域

Her primary research interests revolve around the application of signal processing and pattern recognition techniques to solve or understand biomedical engineering problems, particularly for decoding the neural responses of populations of afferent mechanoreceptors in the fingertip, which will improve our understanding of why the human sense of touch is so sophisticated. This work, which is a collaborative network of researchers from UNSW, NeuRA, and UWS, is also using these discoveries to design tactile sensors, which might provide upper limb prosthetics of the future, or autonomous robotic manipulators, with a sense of touch.

近期论文

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Khamis H; Weiss R; Xie Y; Chang CW; Lovell NH; Redmond SJ, 2016, 'QRS Detection Algorithm for Telehealth Electrocardiogram Recordings', IEEE Transactions on Biomedical Engineering, vol. 63, no. 7, pp. 1377 - 1388, http://dx.doi.org/10.1109/TBME.2016.2549060 Kasi P; Wright J; Khamis H; Birznieks I; Van Schaik A, 2016, 'The Bayesian decoding of force stimuli from slowly adapting type I fibers in humans', PLoS One, vol. 11, no. 4, http://dx.doi.org/10.1371/journal.pone.0153366 Khamis H; Birznieks I; Redmond SJ, 2015, 'Decoding tactile afferent activity to obtain an estimate of instantaneous force and torque applied to the fingerpad', Journal of Neurophysiology, vol. 114, no. 1, pp. 474 - 484, http://dx.doi.org/10.1152/jn.00040.2015 Khamis H; Mohamed A; Simpson S, 2013, 'Frequency-moment signatures: A method for automated seizure detection from scalp EEG', Clinical Neurophysiology, vol. 124, no. 12, pp. 2317 - 2327, http://dx.doi.org/10.1016/j.clinph.2013.05.015 Khamis H; Mohamed A; Simpson S; McEwan A, 2012, 'Detection of temporal lobe seizures and identification of lateralisation from audified EEG', Clinical Neurophysiology, vol. 123, no. 9, pp. 1714 - 1720, http://dx.doi.org/10.1016/j.clinph.2012.02.073 Khamis H; Mohamed A; Simpson S, 2009, 'Seizure state detection of temporal lobe seizures by autoregressive spectral analysis of scalp EEG', Clinical Neurophysiology, vol. 120, no. 8, pp. 1479 - 1488, http://dx.doi.org/10.1016/j.clinph.2009.05.016