Dr Kianoush Nazarpour
Reader in Biomedical Engineering
- Email: firstname.lastname@example.org
- Telephone: +44 (0) 191 208 6860
- Fax: +44 (0) 191 208 8180
- Personal Website: http://www.intellsensing.com
- Address: E2.17, Merz Court
School of Engineering
Newcastle upon Tyne
NE1 7RU, UK
Postdoc Positions Available - Please contact me.
I am a Reader in Biomedical Engineering and a member of the School of Engineering Executive Board. I hold a secondary affiliation to the Institute of Neuroscience at Newcastle University.
In my research I combine
analytical and experimental techniques and develop novel signal
processing algorithms to understand how the brain learns to control limb
movement. The findings enable the development of novel assistive
technology for people with limb loss.
- 2005-2008: PhD in Electrical and Electronic Engineering, Cardiff University, United Kingdom
- 2003-2005: MSc in Bioelectroics, Tarbiat Modarres University, Tehran, Iran
- 1998-2003: BSc in Electrical and Electronic Engineering, KN Toosi University of Technology, Tehran, Iran
- IET William James Award to team member, Ghazal Ghazaei, 2017
- IET Dennis Hill Award to team member, Jess Barnes, 2017
- Value in People (VIP) Fellowship, Wellcome Trust, 2009
- Best Paper Award, 3rd Int. Brain-Computer Interface Workshop, Austria, 2006
Douglas Award, South Wales Institute of Engineers, 2006
Research Scholarship (ORS), Cardiff University, 2006
- Academic Scholarship, School of Engineering, Cardiff University, 2005
- Since 2017: Reader, School of Engineering, Newcastle University, UK
- 2016-2017: Senior Lecturer, School of Electrical and Electronic Engineering, Newcastle University, UK
- 2013-2016: Lecturer, School of Electrical and Electronic Engineering, Newcastle University, UK
- 2012-2013: Senior Algorithm Engineer, Touch Bionics, ltd, Livingston, UK
- 2009-2012: Research Associate: Institute of Neuroscience, Newcastle University, UK
- 2007-2009: Research Fellow, School of Psychology, University of Birmingham, UK
Research Engineer, Behravesh MP, Tehran, Iran
- Senior Member (S'05-M'08-SM'14) - Institute of Electrical and Electronics
- Associate Fellow (AF'15) - UK Higher Education Academy
- Associate Editor (Ed'13-AE'15) - Medical Engineering and Physics
- Lead Editor: Advances in Control of Multi-functional Powered Upper-Limb prostheses, IEEE Transactions on Neural Systems Rehabilitation Engineering, 2014 (link)
- Track Chair and Invited Session Chair: IEEE Sensors, 2017
- Invited Session Chair: IEEE Engineering in Medicine and Biology Conference (EMBC), 2015
- Workshops Chair: IEEE Int Symp Biomedical Engineering (ISBME), 2009.
Technical Program Committee (TPC) Memberships:
- IEEE Sensors 2017
- IEEE SMC 2016, 2017
- SIGNAL 2016
- IEEE MLSP, 2013, 2014, 2015
- Digital Signal processing, 2009, 2011
- IEEE Computational Intelligence, Cognitive Algorithms, Mind, and Brain (CCMB), 2011
- IASTED Biomedical Engineering, 2010
My research is motivated by the potential of prosthetics to restore function to individuals with sensorimotor deficit, by transforming thought into action and sensation into perception.
Our vision is that the next generation of prosthetic hands will feature an efficient user-in-loop control mechanism by incorporating sensory feedback. Such an approach will empower users to achieve tasks that are currently impossible for them, for example, playing a piano sonata or tying a shoe-lace without needing to continually look.
We aim to deliver key algorithms and technologies that will enable significant advances towards this vision. Specifically, our aims are:
- the decoding of motor intentions via intelligent analysis of muscle and other signals, e.g. inertia and artificial vision;
- the generation and delivery of naturalistic sensory feedback signals to the peripheral nervous system;
- the validation of this framework with able-bodied subjects and upper-limb prosthesis users.
If you would like to participate in our prosthesis control trials, click here for more information.
Current Research Staff
- Ms Hannah Jones, Project Manager (2016-present, Link)
- Dr Matthew Dyson, Research Associate (2015- present, Link)
- Dr Emma Brunton,Research Associate (2015-present, Link)
Current PhD Students
- Ms Carolina Silveira (2016-present)
- Ms Ghazal Ghazaei (2014-present)
- Mr Ali Alameer (2014-present)
- Ms Kabita Adhikari (2013-present)
- Mr Agamemnon Krasoulis (Edinburgh University, 2013-present)
Past Postdoctoral Researchers
- Dr Tobias Pistohl (Institute of Neuroscience, Newcastle University, 2011-2013, Link)
Past PhD Students
- Dr Claire Schofield (Institute of Neuroscience, Newcastle University, 2010-2014)
Postdoctoral Fellowship OpportunitiesWe support excellent early career researchers in applying for their own funding to join us. Some possible sources of funding are:
- EPSRC and MRC Early Career Fellowships, RCUK
- Royal Academy of Engineering Research Fellowship
- Newton International Fellowship
- Prof Kalyana Veluvolu, Kyungpook National University, South Korea
I welcome faculty and researchers from other research or industry institutions seeking mutually beneficial collaboration in the area of neural systems and rehabilitation engineering. I can host sabbaticals, visiting researchers and industry secondments. Please contact me to scope out interaction.
Total amount (in excess of £2m)
- 2017 EPSRC Impact Acceleration Award (Newcastle University, PI, with Dr Matthew Dyson)
- 2017 EPSRC Impact Acceleration Award (Newcastle University, PI, with Prof Ilias Kyriazakis)
- 2016-2020 Sensory Feedback in Artificial Limbs (DTA, Newcastle University)
- 2016-2019 Translational Alliance with Össur (EPSRC, PI)
- 2015-2018 SenseBack (EPSRC, PI)
- 2015-2016 SimCon (EPSRC, PI)
- 2015-2016 Institutional Sponsorship Fund 2015 (EPSRC, PI)
- 2015-2017 Impact Generation Fund (Newcastle University, PI)
- 2015-2016 Ownership Devices for Internet of People (OwnDIP) (Newcastle University, Co-I)
- 2014-2018 Artificial Vision for Artificial Hands (AVAH) (DTA, Newcastle University)
- 2014 Equipment Fund (Newcastle University, PI)
- 2013 Equipment Fund (Newcastle University, PI)
- 2013 Equipment Fund (Newcastle University, PI)
- 2013 Start-up Fund (Newcastle University, PI)
- 2012 Equipment Fund (Wellcome Trust, ISSP Scheme, PI)
- 2012 Recursive Estimation of Higher Order Statistics for Hand Prosthesis Control (Royal Society, PI)
- 2011-2013 Imaging and Optimisation Techniques for Co-Adaptive Myoelectric Control (Leverhulme Trust, PI)
2010-2013 Optimal Control of Neuromotor Interfaces (Wellcome Trust, Co-I)
- 2009 EMG Prediction from Motor Cortical Recordings via a Non-Negative Point Process Filter (Wellcome Trust - VIP Scheme, PI)
- 2006-2008 A Hybrid Factorisation–BSS Approach for Brain Computer Interfacing (Leverhulme Trust, Named Researcher)
- Stage II: Signals and Communications II (EEE2009)
- Foundation Year: Electrical and Electronic Engineering 0 (SFY0012)
If you have questions regarding my teaching, please contact me through blackboard or email me.
- Jones H, Nazarpour K. Gaining NHS ethical approval: A biomedical engineering team perspective. British Journal of Healthcare Management 2017. Submitted.
- Brunton E, Blau CW, Nazarpour K. Separability of neural responses to standardised mechanical stimulation of limbs. Scientific Reports 2017, 7, 11138.
- Krasoulis A, Kyranou I, Erden MS, Nazarpour K, Vijayakumar S. Improved prosthetic hand control with concurrent use of myoelectric and inertial measurements. Journal of NeuroEngineering and Rehabilitation 2017, 14, 71.
- Ghazaei G, Alameer A, Degenaar P, Morgan G, Nazarpour K. Deep learning-based artificial vision for grasp classification in myoelectric hands. Journal of Neural Engineering 2017, 14(3), 036025.
- Tatinati S, Nazarpour K, Ang WT, Veluvolu KC. Multi-dimensional modeling of physiological tremor for active compensation in hand-held surgical robotics. IEEE Transactions on Industrial Electronics 2017, 64(2), 1645-1655.
- Adhikari K, Tatinati S, Ang WT, Velovulu KC, Nazarpour K. A quaternion weighted Fourier linear combiner for modeling physiological tremor. IEEE Transactions on Biomedical Engineering 2016, 63(11), 2336-2346.
- Alameer A, Ghazaei G, Degenaar P, Chambers JA, Nazarpour K. Object recognition with an elastic net-regularized hierarchical MAX model of the visual cortex. IEEE Signal Processing Letters 2016, 28(8), 1062-1066.
- Khushaba RN, Al-Timemy A, Kodagoda S, Nazarpour K. Combined influence of forearm orientation and muscular contraction on EMG pattern recognition. Expert Systems with Applications 2016, 61, 154-161.
- Tatinati S, Nazarpour K, Ang WT, Veluvolu KC. Ensemble framework based real-time respiratory motion prediction for adaptive radiotherapy applications. Medical Engineering & Physics 2016, 38(8), 749-757.
- Pistohl T, Joshi D, Ganesh G, Jackson A, Nazarpour K. Artificial proprioceptive feedback for myoelectric control. IEEE Transactions on Neural Systems and Rehabilitation Engineering 2015, 23(3), 498-507.
- Graziadio S, Nazarpour K, Gretenkord S, Jackson A, Eyre J. Greater intermanual transfer in the elderly suggests age-related bilateral motor cortex activation is compensatory. Journal of Motor Behavior 2015, 47(1), 47-55.
- Hall TM, Nazarpour K, Jackson A. Real-time estimation and biofeedback of single-neuron firing rates using local field potentials. Nature Communications 2014, 5, 5462.
- Nazarpour K, Cipriani C, Farina D, Kuiken T. Guest Editorial: Advances in control of multi-functional powered upper-limb prostheses. IEEE Transactions on Neural Systems and Rehabilitation Engineering 2014, 22(4), 711-715.
- Nazarpour K, Al-Timemy AH, Bugmann G, Jackson A. A note on the probability distribution function of the surface electromyogram signal. Brain Research Bulletin 2013, 90, 88-91.
- Pistohl T, Cipriani C, Jackson A, Nazarpour K. Abstract and Proportional Myoelectric Control for Multi-Fingered Hand Prostheses. Annals of Biomedical Engineering 2013, 41(12), 2687-2698.
- Sanei S, Ferdowsi S, Nazarpour K, Cichocki A. Advances in Electroencephalography Signal Processing. IEEE Signal Processing Magazine 2013, 30(1), 170-176.
- Nazarpour K, Barnard A, Jackson A. Flexible cortical control of task-specific muscle synergies. Journal of Neuroscience 2012, 32(36), 12349-12360.
- Jackson A, Nazarpour K. Motor learning explored with myoelectric and neural interfaces. In: Gollhofer, A., Taube, W., Nielsen, J.B, ed. Routledge Handbook of Motor Control and Motor Learning. Routledge, 2012, pp.71-89.
- Nazarpour K, Ethier C, Paninski L, Rebesco JM, Miall RC, Miller LE. EMG prediction from motor cortical recordings via a Non-Negative Point Process Filter. IEEE Transactions Biomedical Engineering 2012, 59(7), 1829-1838.
- Ghaderi F, Nazarpour K, McWhirter JG, Sanei S. Removal of Ballistocardiogram Artifacts Using the Cyclostationary Source Extraction Method. IEEE Transactions on Biomedical Engineering 2010, 57(11), 2667-2676.
- Nazarpour K, Praamstra P, Miall RC, Sanei S. Steady-state movement related potentials for brain-computer interfacing. IEEE Transactions on Biomedical Engineering 2009, 56(8), 2104-2113.
- Mohseni HR, Nazarpour K, Wilding EL, Sanei S. The application of particle filters in single trial event-related potential estimation. Physiological Measurement 2009, 30(10), 1101-1116.
- Praamstra P, Kourtis D, Nazarpour K. Simultaneous preparation of multiple potential movements: opposing effects of spatial proximity mediated by premotor and parietal cortex. Journal of Neurophysiology 2009, 102(4), 2084-2095.
- Lo JL, Sanei S, Nazarpour K. An adaptive source-channel coding with feedback for progressive transmission of medical images. International Journal of Telemedicine and Applications 2009, 519417.
- Nazarpour K, Mohseni HR, Hesse CW, Chambers JA, Sanei S. A novel semiblind signal extraction approach for the removal of eye-blink artifcat from EEGs. EURASIP Journal on Advances in Signal Processing 2008, 2008, Article no. 98.
- Nazarpour K, Wongsawat Y, Sanei S, Chambers JA, Oraintara S. Removal of the eye-blink artifacts from EEGs via STF-TS modeling and robust minimum variance beamforming. IEEE Transactions on Biomedical Engineering 2008, 55(9), 2221-2231.
- Nazarpour K, Sharafat AR, Firoozabadi SM. Application of higher order statistics to surface electromyogram signal classification. IEEE Transactions on Biomedical Engineering 2007, 54(10), 1762-1769.