Imran Khan Niazi

PhD (Biomedical Engineering and Sciences)


Research activity per year

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Personal profile

Research profile

I have been working for the past 12 years as an active researcher in physical and neural rehabilitation, focusing on non-pharmacological/conservative modes of treatment to optimize the patient's rehabilitation journey and improve life quality. I have extensive experience working in multidisciplinary teams that include chiropractors, physiotherapists, medical doctors, engineers, and neuroscientists, with a strong patient-centered, evidence-informed approach. My research aims have included both elucidate the underlying mechanisms of rehabilitation from a basic science perspective and developing or improving non-pharmacological therapies (technological and manual approaches) through clinical trials.  My core expertise lies with data analysis, emphasizing the capture of the nuance of information from patients and clinicians with artificial intelligence, which is missing in most traditional data analysis methods. I have had the opportunity to work in three different continents (Europe, Asia, and Australasia), and this experience has given me a unique perspective on healthcare challenges.

Education/Academic qualification

Biomedical Science and Engineering, PhD, Department of Health Science and Technology, University of Aalborg

Mar 2009Dec 2012

Award Date: 14 Dec 2012

Biomedical Engineering, MSc, Lübeck University of Applied Sciences

Sep 2006Feb 2009

Electrical Engineering(Major:Biomedical Engineering), BSc, Riphah International University

Sep 2001Sep 2005

External positions

Senior Research Fellow, Centre for Chiropractic Research, New Zealand College of Chiropractic, Auckland, New Zealand.

Jan 2016 → …

Senior Research Officier, Health & Rehabilitation Research Institute, Auckland University of Technology, Auckland, New Zealand.

Aug 2015Dec 2015

Research Fellow, Center for Chiropractic Research, NewZealand College of Chiropractic,Auckland

May 2013Aug 2015


  • Biomedical Engineering
  • Brain computer interface
  • Biosignal Processing
  • Neurorehabilitation technologies
  • Neural engineering
  • motor control
  • neurophysiology


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