Dr Kianoush Nazarpour
Lecturer in Biomedical Engineering
- Email: email@example.com
- Telephone: +44 (0) 191 208 6860
- Personal Website: http://research.ncl.ac.uk/bspl/
- 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.
- 2013: Certificate in Advanced Studies in Academic Practice, Newcastle University, United Kingdom
- 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
- Associate Fellow (AF'15) - UK Higher Education Academy
Service to EEE
- Stage 2 Tutor
- Stage 1 Personal Tutor
- Member - Diversity Working Group
- Member - Engagement Working Group
Service to SAgE Faculty
- Member - Engineering Excellence Organisation Working Group
- Member - Research Ethics Committee
- Biomedical Engineering Theme Lead - Faculty DTA selection panel
- Associate Editor (Ed'13-AE'15) - Medical Engineering and Physics
- Co-Editor: Analysis and Applications of Electromyogram, 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)
- 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:
- 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
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. 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.
Would you like to participate in our exciting experiments? Click here for more information.
Current Research Staff
Current PhD Students
- Ms Ghazal Ghazaei (2014-present, Link)
- Mr Ali Alameer (2014-present, Link)
- Ms Kabita Adhikari (2013-present, Link)
- Mr Agamemnon Krasoulis (Edinburgh University, 2013-present, Link)
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)
We have the following two vacancies in the lab:
- Research Manager [part time at 50%]
- Postdoctoral Research Associate
Please email me if you are interested in joining us.
In addition, I am always looking for exceptional researchers and talented PhD students. More information about joining the BSPL can be found here.
Total amount (in excess of £2m)
- 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)
- 2015-2016 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, SAgE Faculty)
- 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)
- 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.
Use of Technology in Teaching
I am very keen to uplift my students' learning experience by using new internet-based technologies.
- As of 2015, I will be using the TeamViewr software to replace the good old Visualisers. Stay tuned for student feedback!
I used Twitter as a tool to improve teaching. I however did not see
much success in terms of take-up by students; main reason being that t
is very difficult to ask or explain concepts with a very limited number
of characters. Those who joined the initiative liked it because the
could receive update or interesting and relevant material from module
If you have used these technologies before or seen it being used, please contact me.
I will be very happy to exchange ideas and experiences with you.
- 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.
- 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.
- 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.
- 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.
- Del Din S, Hickey A, Woodman S, Hiden H, Morris R, Watson P, Nazarpour K, Catt M, Rochester L, Godfrey A. Accelerometer-based gait assessment: pragmatic deployment on an international scale. In: IEEE Workshop on Statistical Signal Processing (SSP 2016). 2016, Palma de Mallorca, Spain: IEEE.
- Ghazaei G, Alameer A, Degenaar P, Morgan G, Nazarpour K. Deep learning-based artificial vision for grasp classification in myoelectric hands. 2016. In Preparation.
- 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, (99), 1-1.
- Wang Y, Tatinati S, Adikhari K, Huang L, Nazarpour K, Ang WT, Veluvolu KC. Quaternion extreme learning machines based physiological tremor prediction for robotics assisted microsurgery. Signal Processing 2016. Submitted.
- Ladha C, Del Din S, Nazarpour K, Hickey A, Morris R, Catt M, Rochester L, Godfrey A. Toward a low-cost gait analysis system for clinical and free-living assessment. In: Engineering in Medicine and Biology Society (EMBC), 2016 38th Annual International Conference of the IEEE. 2016, Orlando, Florida: IEEE. In Press.
- Adhikari K, Tatinati S, Veluvolu KC, Nazarpour K. Improvement in modelling of physiological tremor by inclusion of grip force in quaternion weighted Fourier linear combiner. In: 2nd IET International Conference on Intelligent Signal Processing. 2015, London: IET.
- Adhikari K, Tatinati S, Veluvolu KC, Nazarpour K. Modeling 3D Tremor Signals with a Quaternion Weighted Fourier Linear Combiner. In: 7th Annual International IEEE/EMBS Conference on Neural Engineering (2015). 2015, Montpellier, France: IEEE.