Dr Imran Khan Niazi

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Adjunct Researcher

Phone: 02-102847764

Email: Imran.niazi@aut.ac.nz

ORCID:
ORCID logo  https://orcid.org/0000-0001-8752-7224

Links to relevant web pages:

Qualifications:

  • Dec-2012, PhD, Biomedical Science and Engineering, Aalborg University, Denmark
  • March-2009, MSc, Biomedical Engineering, FH and University of Lübeck, Germany
  • Sept-2005, BSc, Electrical Engineering, Riphah Int’l University, Islamabad, Pakistan

Memberships and Affiliations:

  • Institute of Electrical and Electronics Engineers(IEEE)
  • Brain-computer Interface (BCI) Society
  • International Society of Electrophysiology and Kinesiology (ISEK)

Research Areas:

  • Brain Computer Interfaces
  • Neurorehabilitation
  • Neural Signal Processing
  • Neuromodulation
  • Motor Control

Research Summary:

My research interests focus on rehabilitation engineering with a patient-centred approach. Specifically, I am interested in studying and understanding altered mechanisms of motor control and mechanisms of motor learning in neurological disorders. Understanding these mechanisms assists in the development of various technologies to enhance the quality of life (QOL) in people with motor dysfunction. My PhD and post-doctoral research focused on the use of brain-computer interfaces for stroke rehabilitation using neuromodulatory intervention paradigm. At AUT we are focusing on making the existing lab-based  BCI rehab system into a smart, wearable system that can be integrated into clinical practice and eventually in people home. Another key area of my research examines the effect of chiropractic treatment on the peripheral and central nervous system, using different neurophysiological measurement tools.

I have authored 38 peer-reviewed journal papers and 77 conference papers (proceedings and extended abstracts including). My work has been cited 867 times, and my h-index is 14 (Google Scholar).

Publications:

Selected papers
  • Niazi IK, Jiang N, Tiberghien O, Nielsen JF, Dremstrup K, Farina D. Detection of movement intention from single-trial movement-related cortical potentials. J Neural Eng. 2011;8(6):066009. doi:10.1088/1741-2560/8/6/066009
  • Niazi IK, Mrachacz-Kersting N, Jiang N, Dremstrup K, Farina D. Peripheral Electrical Stimulation Triggered by Self-Paced Detection of Motor Intention Enhances Motor Evoked Potentials. IEEE   Trans Neural Syst Rehabil Eng.2012;20(4):595-604. doi:10.1109/TNSRE.2012.2194309
  • Mrachacz-Kersting N, Kristensen SR, Niazi IK, Farina D. Precise temporal association between cortical potentials evoked by motor imagination and afference induces cortical plasticity. J Physiol. 2012;590(7):1669-1682. doi:10.1113/jphysiol.2011.222851
  • Niazi IK, Kemal N, Stanley ST, Kinget M, Duehr J, Haavik H. Changes in H  reflex and V ‑ waves following spinal manipulation. Exp Brain Res. 2015;233(4):1165-1173. doi:10.1007/s00221-014-4193-5
  • Lelic D, Niazi IK, Holt K, et al. Manipulation of dysfunctional spinal joints affects sensorimotor integration in the prefrontal cortex: A brain source localization study. Neural Plast. 2016;2016:3704964. doi:10.1155/2016/3704964
  • Christiansen TL, Niazi IK, Holt K, et al. The effects of a single session of spinal manipulation on strength and cortical drive in athletes. Eur J Appl Physiol. 2018;118(4):737-749. doi:10.1007/s00421-018-3799-x
  • Cecen S, Niazi IK, Nedergaard RW, et al. Posture modulates the sensitivity of the H-reflex. Exp Brain Res. 2018;236(3):829-835. doi:10.1007/s00221-018-5182-x
  • Haavik H, Niazi IK, Jochumsen M, et al. Chiropractic spinal manipulation alters TMS induced I-wave excitability and shortens the cortical silent period. J Electromyogr Kinesiol. 2018;42:24-35. doi:10.1016/j.jelekin.2018.06.010
  • Zia ur Rehman M, Gilani S, Waris A, Niazi IK, et al. Stacked Sparse Autoencoders for EMG-Based Classification of Hand Motions: A Comparative Multi-Day Analyses between Surface and Intramuscular EMG. Appl Sci. 2018;8(7):1126. doi:10.3390/app8071126
  • Zia ur Rehman M, Waris A, Gilani S, Niazi IK et al. Multiday EMG-Based Classification of Hand Motions with Deep Learning Techniques. Sensors. 2018;18(8):2497. doi:10.3390/s18082497
  • Waris A, Niazi IK, Jamil M, Englehart K, Jensen W, Kamavuako EN. Multiday Evaluation of Techniques for EMG Based Classification of Hand Motions. IEEE J Biomed Heal Informatics. 2018. doi:10.1109/JBHI.2018.2864335
  • Amjad I, Toor H, Niazi IK, et al. Xbox 360 Kinect Cognitive Games Improve Slowness, Complexity of EEG and Cognitive Functions in Subjects with Mild Cognitive Impairment: A Randomized Control Trial. Games Health J. 2018.
  • Kamavuako E, Sheikh U, Gilani S, Jamil M, Niazi IK. Classification of Overt and Covert Speech for Near-Infrared Spectroscopy-Based Brain-Computer Interface. Sensors. 2018;18(9):2989. doi:10.3390/s18092989
  • Jochumsen M, Shafique M, Hassan A, Niazi IK. Movement intention detection in adolescents with cerebral palsy from single-trial EEG. J Neural Eng. September 2018. doi:10.1088/1741-2552/aae4b8
  • Rashid U, Niazi IK, Signal N, Taylor D. An EEG Experimental Study Evaluating the Performance of Texas Instruments ADS1299. Sensors. 2018;18(11). doi:10.3390/s18113721

Awards:

  • Selected among top 10 research projects for BCI award 2012.
    68 top-level research projects were submitted from all over the world. The Award was presented at the "BCI party" at the SfN 2012 conference in New Orleans, USA.
  • Selected among top 10, C-Prize wearable technology challenge 2017. C prize is run by Callaghan Innovation, NZ https://www.cprize.nz/meet-finalists