Institute of Neuroscience

Staff Profile

Dr Kianoush Nazarpour

Lecturer in Biomedical Engineering


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
  • David Douglas Award, South Wales Institute of Engineers, 2006
  • Overseas Research Students (ORS) Academic Scholarship, Cardiff University, 2006
  • Academic Scholarship, School of Engineering, Cardiff University, 2005

Previous Positions

  • 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
  • 2001-2003: Research Engineer, Behravesh MP, Tehran, Iran

Professional Membership

  • Senior Member (S'05-M'08-SM'14) - Institute of Electrical and Electronics Engineers (IEEE)
  • 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

Professional Service

  • Associate Editor (Ed'13-AE'15) - Medical Engineering and Physics 
Special Issues
  • 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)
Conference Chair:
  • 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 Interests

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
  • Dr Matthew Dyson (2015- present, Link)
  • Ms Emma Brunton (2015-present, Link)
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)

Join Us

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!  
  • Previously, 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 twitter account. 

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.