Dr Mahnaz Arvaneh

Lecturer

MArvanehAddress:
Dept of Automatic Control and Systems Engineering
University of Sheffield
Mappin Street
Sheffield,
S1 3JD
United Kingdom

Tel: (+44) (0)114 222 5649
Fax: (+44) (0)114 222 5683
Email: m.arvaneh@sheffield.ac.uk
Website: https://arvaneh.wordpress.com/
Room: D05, Amy Johnson Building


Biography

I received my B.Sc. degree in Control Engineering from K. N. Toosi University of Technology, Tehran, Iran, and the M.Sc. degree in Control Engineering from Ferdowsi University of Mashhad, Iran, in 2005 and 2007, respectively. I received a Ph.D. in Computer Science from Nanyang Technological University (NTU), Singapore in 2013. From 2009 to 2013, I was also an attached researcher at the Institute for Infocomm research, Agency for Science, Technology and Research, Singapore. Thereafter, I moved to University College Dublin where I worked as a lecturer in Biomedical Engineering in 2013.  From 2014 to 2015, I worked as a research fellow in Trinity College Institute of Neuroscience. Since September 2015, I have been a Lecturer in the Department of Automatic Control and Systems Engineering at the University of Sheffield, and an honorary research fellow in Trinity College Institute of Neuroscience.

Teaching and Administration

Current:

  • MAT3411- Design of Biomedical Devices and Implants (Spring 2016)
  • Bioengineering degree Board of Studies (ACSE representative)
  • Bioengineering degree, theme leader: Medical Devices and Systems

Past:   

  • Program coordinator of BEng and MEng in Biomedical Engineering, University College Dublin, 2013
  • EEEN30160- Biomedical Signals & Images, University College Dublin,  2013 and 2014
  • EEEN40350- Rehabilitation Engineering (joint module leader), University College Dublin, 2013 and 2014

Research Interests

In my research, I combine analytical and experimental techniques and develop novel signal processing and pattern recognition algorithms to better understand how our physiological systems (particularly the nervous system) work in healthy and diseased states. Through this research, I aim to improve our understanding of the human body, both to address fundamental questions in the control of physiological systems and to develop improved therapeutic, assistive, adaptive and rehabilitative technologies for a variety of conditions.

My research interests include:

  • Biomedical signal processing, machine learning and pattern recognition
  • Statistical and adaptive signal processing, and mathematical modelling of bioelectric signals
  • Neural and cognitive process, clinical applications, and understanding
  • Brain–computer interface algorithms, systems, adaptation, and applications
  • Robotic and BCI-based stroke rehabilitation
  • Neuroprosthetic learning and control
  • Medical system and device research and development

Pilot Funding, Feasibility Studies and Equipment Grants

  • “Enhancing Neuroprosthetic Control Using Error Related Brain Activities”, £5000 funded by EPSRC Institutional Sponsorship (CI), Nov 2015-Mar2016
  • M. Arvaneh, “Mind controlled computers”, 500€ funded by European Commission in association with EU Researchers’ Night, Sep 2015 (equipment grant) 
  • M. Arvaneh, I. Robertson, “Analysing brain signals for monitoring and enhancing cognitive performance”, 3600€ funded by Insight (Science Foundation Ireland), March 2015 (for recruiting an intern student)
  • M. Arvaneh, A. Martel, I. Robertson, 2000€ funded by European Commission in association with EU Researchers’ Night, Sep 2014 (equipment grant)
  • M. Arvaneh, 400 USD IEEE Signal Processing Society Travel Grant for ICASSP 2012

Selected Publications

  • M. Arvaneh, C. Guan, K. K. Ang, and C. Quek, “Mutual information-based optimization of sparse spatio-spectral filters in EEG-based brain-computer interface”, Neural Computing and Applications, pp. 1-10, Dec 2013.
  • M. Arvaneh, C. Guan, K. K. Ang, and C. Quek, “EEG Data Space Adaptation to Reduce Intersession Non-stationarity in Brain-Computer Interface, Neural Computation, Vol. 25, No. 8, pp. 2146-71, August 2013.
  • M. Arvaneh, C. Guan, K. K. Ang, and C. Quek, “Optimizing Spatial Filters by Minimizing Within-class Dissimilarities in EEG-based BCI”, IEEE Transactions on Neural Networks and Learning Systems, vol. 24, no. 4, pp. 610-619, April 2013.
  • M. Arvaneh, C. Guan, K. K. Ang, and C. Quek,” Optimizing the Channel Selection and Classification Accuracy in EEG-based BCI,” IEEE Transactions on Biomedical Engineering, vol. 58, pp. 1865-73, June 2011.
  • Z.S. Dastgheib, A. Azemi, M. Khademi, M. Shajiee, M. Arvaneh, H. Gholizadeh, V.R. Sabzevari, “Identification of Ionic Conductances in a Reentry Model of Ventricular Myocardium Cells”, Journal of applied sciences, vol. 9, PP. 555-560, 2009.
  • Z. S. Dastgheib, M. Khademi, A. Azemi, H. Gholizadeh, M. Shajiee, M. Arvaneh, V. R. Sabzevari, “Analysis and control of re-entry via ionic parameters identification in myocardium tissues”, Journal of Technical Engineering, vol. 2, no. 2, pp. 41-63, 2009.
  • M. Arvaneh, T. E. Ward, I. Robertson, “Effects of Feedback latency on P300-based Brain-computer Interface”, submitted to 37th International Conf. of the IEEE Engineering in Medicine and Biology Society (EMBC), Aug 2015, Milan, Italy.
  • M. Arvaneh, A. Ward, I. Robertson, “EEG-Based Mental Workload Classification Using Filter Bank Common Spatial Patterns”, submitted to 37th International Conf. of the IEEE Engineering in Medicine and Biology Society (EMBC), Aug 2015, Milan, Italy
  • D. Flanagan, M. Arvaneh, A. A. Zaffaroni, “Audio signal analysis in combination with noncontact bio-motion data to successfully monitor snoring”, in 36th International Conf. of the IEEE Engineering in Medicine and Biology Society (EMBC), Aug 27-31, 2014, Chicago, USA.
  • M. Arvaneh, I. Robertson, T. E. Ward, “Subject-to-subject adaptation to reduce calibration time in brain-computer interface”, in 36th International Conf. of the IEEE Engineering in Medicine and Biology Society (EMBC), Aug 27-31, 2014, Chicago, USA.
  • M. Arvaneh, C. Guan, K. K. Ang, and C. Quek, , “Omitting the Intra Session Calibration in EEG-based Brain Computer Interface Used for Stroke Rehabilitation”, in 34th International Conf. of the IEEE Engineering in Medicine and Biology Society(EMBC), Aug 28 – Sept 1, 2012, San Diego, USA.
  • M. Arvaneh, C. Guan, K. K. Ang, and C. Quek, “Robust EEG Channel Selection across Sessions in Brain-Computer Interface Involving Stroke Patients”, in IEEE International Joint Conference on Neural Networks, Brisbane, Australia, June 10-15, 2012, pp. 2319-2324.
  • M. Arvaneh, C. Guan, K. K. Ang, and C. Quek, “Multi-frequency band common spatial pattern with sparse optimization in brain-computer interface”, in IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP), Kyoto, Japan, March 26-30, 2012, pp. 2541-2544.
  • M. Arvaneh, C. Guan, K. K. Ang, and C. Quek, ”Spatially Sparced Common Spatial Pattern to Improve BCI Performance,” in  IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP),  May 2011.
  • M. Arvaneh, C. Guan, K. Ang, and C. Quek, ”EEG Channel Selection Using Decision Tree in Brain-Computer Interface” presented in Int. Conf. APSIPA ASC 2010, Singapore, Dec. 2010.
  • H. Ahmadi, Y. H. Chew, M. Arvaneh, “Performance Comparison of Two Evolutionary Algorithms and the Piecewise Linear Optimum Solution of Downlink Multi-service Single-cell OFDMA Systems”, in the 7th IEEE VTS Asia Pacific Wireless Communications Symposium (APWCS 2010), Kaohsiung. Taiwan, 20-21 May 2010.
  • M. Arvaneh, C. Guan, K. K. Ang, and C. Quek, ”Optimizing EEG Channel Selection by Regularized Spatial Filtering and Multi Band Signal Decomposition,” in IASTED Int. Conf. Biomedical Engineering, Innsbruck, Feb. 2010.
  • M. Arvaneh, H. Ahmadi, A. Azemi, M. Shajiee, Z. S. Dastgheib, "Prediction of Paroxysmal Atrial Fibrillation by Dynamic Modeling the PR Interval of ECG”, in the 2nd International Conference on Biomedical and Pharmaceutical Engineering (ICBPE 2009), Singapore, Dec. 2009.