Usman Rashid

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Research Fellow

Email: usman.rashid@aut.ac.nz

ORCID: ORCID logo https://orcid.org/0000-0002-1109-5493

Links to relevant web pages:

Academic appointments:

  • Research Fellow, Auckland University of Technology (2019 - ongoing)
  • Research Officer, Auckland University of Technology (2016 - 2019)

Qualifications:

  • PhD, Auckland University of Technology
  • MSc, Robotics and Intelligent Machines Engineering, National University of Sciences and Technology
  • BSc, Electrical Engineering, University of Engineering and Technology

Research interests:

Neuroengineering
Artificial Intelligence
Inferential Statistics
Control Systems

Professional activities:

Award, prize, fellowship, and scholarship

  • Best multidisciplinary oral presentation, Health and Rehabilitation Research Institute Symposium (2019)

Editorship, reviewing, examining, and judging

  • Reviewer, Electronics, ISSN 2079-9292, MDPI (2020)
  • Reviewer, Sensors, ISSN 1424-8220, MDPI (2020)
  • Reviewer, Journal of electromyography and kinesiology, ISSN : 1873-5711, Elsevier (2019 - ongoing)
  • Reviewer, Journal of neural engineering, ISSN : 1741-2552, IOPScience (2019)
  • Reviewer, IEEE Transactions on Neural Systems and Rehabilitation Engineering, ISSN : 1558-0210, IEEE (2019 - ongoing)
  • Reviewer, Therapeutic Advances in Neurological Disorders, ISSN : 1756-2864, SAGE. (2019)

Research outputs:

Journal articles

  • Alder, G., Signal, N., Rashid, U., Olsen, S., Niazi, I. K., & Taylor, D. (2020). Intra- and inter-rater reliability of manual feature extraction methods in movement related cortical potential analysis. Sensors, 20(8). doi:10.3390/s20082427

  • Olsen, S., Signal, N., Niazi, I. K., Rashid, U., Alder, G., Mawston, G., . . . Taylor, D. (2020). Peripheral electrical stimulation paired with movement-related cortical potentials improves isometric muscle strength and voluntary activation following stroke. Frontiers in Human Neuroscience, 14. doi:10.3389/fnhum.2020.00156

  • Kumari, N., Taylor, D., Rashid, U., Vandal, A. C., Smith, P. F., & Signal, N. (2020). Cerebellar transcranial direct current stimulation for learning a novel split-belt treadmill task: A randomised controlled trial. Scientific Reports, 10(1). doi:10.1038/s41598-020-68825-2

  • Signal, N. E. J., McLaren, R., Rashid, U., Vandal, A., King, M., Almesfer, F., . . . Taylor, D. (2020). Haptic nudges increase affected upper limb movement during inpatient stroke rehabilitation: Multiple-period randomized crossover study. JMIR mHealth and uHealth, 8(7). doi:10.2196/17036

  • Tuck, N. L., Khuvtsagaan, B., Rashid, U., Aamir, T., Goucke, R., Regjii, B., . . . Bean, D. J. (2020). The adaptation of pain assessment tools from high-income to low- and middle-income countries: Psychometric properties of a set of chronic pain questionnaires in Mongolian and New Zealand patient samples. Pain Medicine. doi:10.1093/pm/pnaa267

  • Rashid, U., Kumari, N., Taylor, D., David, T., & Signal, N. (2019). Gait event anomaly detection and correction during a split-belt treadmill task. IEEE Access, 7, 68469-68478. doi:10.1109/ACCESS.2019.2918559

  • Jochumsen, M., Navid, M. S., Nedergaard, R. W., Signal, N., Rashid, U., Hassan, A., . . . Niazi, I. K. (2019). Self-paced online vs. cue-based offline brain-computer interfaces for inducing neural plasticity. Brain Sciences, 9(6). doi:10.3390/brainsci9060127

  • Rashid, U., Niazi, I. K., Signal, N., Farina, D., & Taylor, D. (2019). Optimal automatic detection of muscle activation intervals. Journal of Electromyography and Kinesiology, 48, 103-111. doi:10.1016/j.jelekin.2019.06.010

  • Jochumsen, M., Navid, M. S., Rashid, U., Haavik, H., & Niazi, I. K. (2019). EMG- versus EEG-triggered electrical stimulation for inducing corticospinal plasticity. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 27(9), 1901-1908. doi:10.1109/tnsre.2019.2932104

  • Rashid, U., Niazi, I. K., Jochumsen, M., Krol, L. R., Signal, N., & Taylor, D. (2019). Automated labeling of movement- related cortical potentials using segmented regression. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 27(6), 1282-1291. doi:10.1109/TNSRE.2019.2913880

  • Jochumsen, M., Cremoux, S., Robinault, L., Lauber, J., Arceo, J. C., Navid, M. S., . . . Niazi, I. K. (2018). Investigation of optimal afferent feedback modality for inducing neural plasticity with a self-paced brain-computer interface. Sensors (Switzerland), 18(11). doi:10.3390/s18113761

  • Rashid, U., Niazi, I. K., Signal, N., & Taylor, D. (2018). An EEG experimental study evaluating the performance of Texas instruments ADS1299. Sensors (Switzerland), 18(11). doi:10.3390/s18113721

  • Jamil, M., Rashid, U., Arshad, R., Khan, M. N., Gilani, S. O., & Ayaz, Y. (2015). Robust Repetitive Current Control of Two-Level Utility-Connected Converter using LCL Filter. Arabian Journal for Science and Engineering, 40(9), 2653-2670. doi:10.1007/s13369-015-1759-x

  • Faisal, M., Jamil, M., Awais, Q., Rashid, U., Syed Omer Gilani, M. S., Ayaz, Y., & Khan, M. N. (2015). Iterative Linear quadratic Regulator (ILQR) controller for trolley position control of Quanser 3DOF crane. Indian Journal of Science and Technology, 8(16), 1-7. doi:10.17485/ijst/2015/v8i16/75369

  • Faisal, M., Jamil, M., Rashid, U., Gilani, S. O., Ayaz, Y., & Nasir Khan, M. (2015). A novel dual-loop control scheme for payload anti-swing and trolley position of industrial robotic 3DOF crane. Applied Mechanics and Materials, 789-790, 658-664. doi:10.4028/www.scientific.net/amm.789-790.658

Conference contributions

  • Rashid, U., Niazi, I., Signal, N., & Taylor, D. (2020). emgGO: An open-source toolbox for optimal identification of muscle activation intervals in surface electromyography. In 2020 ISEK Virtual Congress Poster Abstract Booklet (pp. 81-82). Virtual. Retrieved from https://isek.org/

  • Olsen, S., Signal, N., Niazi, I., Mawston, G., Alder, G., Rashid, U., & Taylor, D. (2019). Paired associative stimulation delivered by pairing movement-related cortical potentials with peripheral electrical stimulation improves voluntary activation in people with stroke. In European Congress of NeuroRehabilitation. Budapest.

  • Rashid, U., Signal, N., Niazi, I. K., & Taylor, D. (2019). footpress: An open-source MATLAB toolbox for analysis of pedobarography data. In Converging clinical and engineering research on neurorehabilitation III: Proceedings of the 4th International Conference on NeuroRehabilitation (ICNR2018) Vol. 21 (pp. 361-364). Pisa. doi:10.1007/978-3-030-01845-0_72

  • Kumari, N., Taylor, D., Rashid, U., Vandal, A., Smith, P. F., & Signal, N. (2019). Can cerebellar transcranial direct current stimulation influence motor learning in healthy adults?. In K. Hillman (Ed.), Proceedings of the 37th International Australasian Winter Conference on Brain Research, 2019 (pp. 66). Queenstown. Retrieved from https://www.otago.ac.nz/awcbr/otago717176.pdf

  • Rashid, U., & Jamil, M. (2016). Design of higher order repetitive controller for non minimum phase plants. In Proceedings of the American Control Conference Vol. 2016-July (pp. 7510-7515). doi:10.1109/ACC.2016.7526859

  • Rashid, U., Jamil, M., Gillani, S. O., & Niazi, I. K. (2015). LQR based training of adaptive neuro-fuzzy controller. : 25th Italian Workshop on Neural Networks, WIRN, 20-22 May 2015, Salerno, Italy. Retrieved from http://www.wirn2015.polito.it/program.html

  • Jamil, M., Arshad, R., Rashid, U., Ayaz, Y., & Khan, M. N. (2014). Design and analysis of repetitive controllers for grid connected inverter considering plant bandwidth for interfacing renewable energy sources. In 3rd International Conference on Renewable Energy Research and Applications, ICRERA 2014 (pp. 468-473). doi:10.1109/ICRERA.2014.7016429

Reports

  • Alder, G., Signal, N., Taylor, D., Niazi, I., Rashid, U., Brebner, S., . . . Alsmefer, F. (2017). Rehabilitation Innovation Team, C-Prize Wearables Competition Team Journal. Auckland, New Zealand. Retrieved from https://www.cprize.nz/lab-books/rehab-innovation

Software

  • Signal, N., Alder, G., Rashid, U., Brebner, S., Olsen, S., & Taylor, D. (2017). exciteBCI: Mobile Application for Brain-Computer Interface Rehabilitation [Computer Software]. Online: Exsurgo Rehabilitation Limited.

Other outputs

  • Signal, N. E. J., McLaren, R., Rashid, U., Vandal, A., King, M., Almesfer, F., . . . Taylor, D. (2020). Haptic nudges increase affected upper limb movement during inpatient stroke rehabilitation: Multiple-period randomized crossover study (Preprint). In JMIR mHealth and uHealth. JMIR Publications. doi:10.2196/preprints.17036

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