Dr Kianoush Nazarpour
- Email: firstname.lastname@example.org
- Telephone: +44 (0) 191 208 6860
- Address: E2.17
School of Electrical and Electronic Engineering
Newcastle upon Tyne
NE1 7RU, UK
I am a lecturer in Biomedical Engineering at the School of Electrical and Electronic Engineering. 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, adaptive and rehabilitative technology for a variety of neurological and motor conditions. In addition, we are interested in the development efficient algorithms to study and model physiological tremor.
For more details about our research please visit the Biomedical Signal Processing Laboratory website (link).
My Google Scholar profile can be seen here.
- 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
- 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 Students (ORS) Academic Scholarship, Cardiff University, 2006
- Academic Scholarship, School of Engineering, Cardiff University, 2005
- 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
- Editorial Board of Medical Engineering and Physics (Since 2013)
- Co-Editor: Analysis and Applications of Electromyogram (EMG), Journal of Medical Engineering, 2015 (link)
- Lead Editor: Advances in Control of Multi-functional Powered Upper-Limb prostheses, IEEE Transactions on Neural Systems Rehabilitation Engineering, 2014 (link)
Conference Programme Chair:
- Workshops Chair: IEEE Int Symp Biomedical Engineering (ISBME), 2009
Technical Program Committee (TPC) Memberships:
- IEEE MLSP, 2013, 2014, 2015
- Digital Signal processing, 2009, 2011
- IEEE Computational Intelligence, Cognitive Algorithms, Mind, and Brain (CCMB), 2011
- IASTED Biomedical Engineering, 2010
Research in the Biomedical Signal Processing Laboratory (link) 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. accelerometry 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.
Would you like to participate in our exciting experiments? Click here for more information.
Total amount (in excess of £2m)
- 2015-2018 SenseBack (EPSRC, PI)
- 2015-2016 SimCon (EPSRC, PI)
- 2015-2016 Institutional Sponsorship Fund 2015 (EPSRC, PI)
- 2015-2016 Impact Generation Fund (SAgE, PI)
- 2015-2016 Ownership Devices for Internet of People (OwnDIP) (EEE, local fund, Co-I)
- 2014-2018 Artificial Vision for Artifical Hands (AVAH) (DTA, lcoal fund, PI)
- 2014 Equipment Fund (EEE, local fund, PI)
- 2013 Equipment Fund (EEE, local fund, PI)
- 2013 Equipment Fund (EEE, local fund, PI)
- 2013 Start-up Fund (EEE, local fund, 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)
Current PhD Students
- Ghazal Ghazaei (EEE, Newcastle Uni, 2014-present, with P Deganaar and G Morgan)
- Ali Alameer (EEE, Newcastle Uni, 2014-present, with P Deganaar)
- Kabita Adhikari (EEE, Newcastle Uni, 2013-present, with S Dlay and L Woo)
- Agamemnon Krasoulis (Informatics, Edinburgh Uni, 2013-present, with S Vijaykumar)
- Austin Ogweno (EEE, Newcastle Uni, 2013-present, with A Yakolvlev and P Deganaar)
Past PhD Students
- Dr Claire Schofield (Neuroscience, Newcastle Uni, 2010-2014, with A Jackson)
I am always looking for exceptional researchers and talented PhD students. More information about joining teh BSPL can be found here.
- Foundation Year: Electrical and Electronic Engineering 0 (SFY0012)
- Stage II: Signals and Communications II (EEE2009)
If you have questions regarding my teaching, please contact me through blackboard or email me.
- Tatinati S, Veluvolu KC, Nazarpour K. Respiratory motion prediction using a two-stage method based on least-squares support vector machines for radiotherapy applications. Medical Physics 2015. Submitted.
- Khushaba RM, Al-Timemy A, Kodagoda S, Nazarpour K. Towards practical myoelectric prostheses: Interaction of forearm orientation and muscular contraction level. Brain Research Bulletin 2015. Submitted.
- Tatinati S, Veluvolu KC, Ang WT, Nazarpour K. Ensemble framework based real-time respiratory motion prediction for adaptive radiotherapy applications. Medical Engineering and Physics 2015. Submitted.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.