Dr Alireza Mazloumi Gavgani

Dr Alireza Mazloumi Gavgani

Senior Project Coordinator

School of Biomedical Sciences and Pharmacy

Career Summary


Dr. Alireza Mazloumi completed a PhD in human physiology at The University of Newcastle. His PhD investigated the physiological  effects of virtual environments on users. He has successfully conducted multiple human trials and published research journal articles in this field. 

Dr Mazloumi works as a Senior Project Coordinator in the Center for Advanced Training (ATS)  and is responsible for coordinating clinical research studies. He applies his research expertise to the design and implementation of trials that evaluate internally-developed software and hardware training solutions.


  • Doctor of Philosophy in Human Physiology, University of Newcastle


  • Cybersickness
  • Human research
  • Motion Sickness
  • Vestibular disorders


  • English (Fluent)
  • Turkish (Fluent)
  • Persian (excluding Dari) (Mother)
  • Azeri (Fluent)

Fields of Research

Code Description Percentage
460708 Virtual and mixed reality 50
520203 Cognitive neuroscience 10
400308 Medical devices 40


For publications that are currently unpublished or in-press, details are shown in italics.

Journal article (5 outputs)

Year Citation Altmetrics Link
2018 Gavgani AM, Wong RHX, Howe PRC, Hodgson DM, Walker FR, Nalivaiko E, 'Cybersickness-related changes in brain hemodynamics: A pilot study comparing transcranial Doppler and near-infrared spectroscopy assessments during a virtual ride on a roller coaster.', Physiol Behav, 191 56-64 (2018) [C1]
DOI 10.1016/j.physbeh.2018.04.007
Citations Scopus - 9Web of Science - 9
Co-authors Eugene Nalivaiko, Rohan Walker, Peter Howe, Deborah Hodgson
2018 Gavgani AM, Walker FR, Hodgson DM, Nalivaiko E, 'A comparative study of cybersickness during exposure to virtual reality and classic motion sickness: Are they different?', Journal of Applied Physiology, 125 1670-1680 (2018) [C1]

Existing evidence suggests that cybersickness may be clinically different from ¿classic,¿ motion-induced sickness; this evidence was, however, obtained in separate studies that fo... [more]

Existing evidence suggests that cybersickness may be clinically different from ¿classic,¿ motion-induced sickness; this evidence was, however, obtained in separate studies that focused on just one of the two conditions. Our aim was to bring clarity to this issue by directly comparing subjective symptoms and physiological effects of motion sickness induced by physical motion (Coriolis cross-coupling) and by immersion in virtual reality (ride on a roller coaster) in the same subjects. A cohort of 30 young, healthy volunteers was exposed to both stimulations in a counterbalanced order on 2 separate days =1 wk apart. Nausea scores were recorded during the exposure, and the Motion Sickness Assessment Questionnaire (MSAQ) was used to profile subjective symptoms postexperiment. Tonic and phasic forehead skin conductance level (SCL) was measured before and during exposure in both stimulation methods. We found that the nausea onset times were significantly correlated in both tests (r 0.40, P 0.03). Similarly, the maximum nausea ratings were significantly correlated during both provocations (r 0.58, P 0.0012). Symptom-profiling with the MSAQ revealed substantial and significant correlations between total symptom scores (r 0.69, P < 0.0001) between each of 4 symptom clusters and between 15/18 individual symptoms assessed in both conditions. Both virtual reality and Coriolis cross-coupling provocations caused an increase in tonic SCL associated with nausea [mean difference (mean diff) 5.1, confidence interval (CI) (2.59, 6.97), P 0.007 and mean diff 1.49, CI (0.47, 7.08), P 0.0001, respectively], with a close correlation between the conditions (r 0.48, P 0.04). This was accompanied by a significant increase in the amplitude of phasic skin conductance transients in both visual stimulation and Coriolis cross-coupling when participants reported maximum nausea compared with no nausea [mean diff 0.27, CI (0.091, 0.63), P < 0.001 and mean diff 0.235, CI (0.053, 0.851), P < 0.006, respectively]. We conclude that symptoms and physiological changes occurring during cybersickness and classic motion sickness are quite similar, at least during advanced stages of these malaises.

DOI 10.1152/japplphysiol.00338.2018
Citations Scopus - 35Web of Science - 27
Co-authors Deborah Hodgson, Eugene Nalivaiko, Rohan Walker
2017 Gavgani AM, Nesbitt KV, Blackmore KL, Nalivaiko E, 'Profiling subjective symptoms and autonomic changes associated with cybersickness', Autonomic Neuroscience, 203 41-50 (2017) [C1]
DOI 10.1016/j.autneu.2016.12.004
Citations Scopus - 51Web of Science - 39
Co-authors Eugene Nalivaiko, Keith Nesbitt, Karen Blackmore
2017 Gavgani AM, Hodgson DM, Nalivaiko E, 'Effects of visual flow direction on signs and symptoms of cybersickness', PLOS ONE, 12 (2017) [C1]
DOI 10.1371/journal.pone.0182790
Citations Scopus - 29Web of Science - 27
Co-authors Deborah Hodgson, Eugene Nalivaiko
2013 Dogrusoz YS, Gavgani AM, 'Genetic algorithm-based regularization parameter estimation for the inverse electrocardiography problem using multiple constraints', MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 51 367-375 (2013)
DOI 10.1007/s11517-012-1005-6
Citations Web of Science - 7
Show 2 more journal articles

Research Projects

A biometrically enabled training solution for the measurement of cognitive overload and threat perception 2019 - 2021

Cognitive load can be defined in a number of ways but is most intuitively understood as the ability of an individual to process information presented to them within a given timeframe. When a decision maker can comfortably process the information provided to them within a given timeframe, cognitive load would be considered low.  In contrast, as the amount of information increases, or the time available to make a decision decreases, or both occur at the same time, cognitive load would increase. For every decision maker, there is a critical point where cognitive load increases to an extent at which no further information can be effectively processed or considered.   When a decision maker has arrived at the critical point where cognitive load reaches its maximum level, a problematic secondary phenomenon develops, which is the loss of a situational awareness. 

 In this research study our primary objective is to demonstrate that cognitive overload can be identified objectively. We will achieve this by developing a real-time mental workload monitoring system. 

Is vestibular masking effective in reducing cybersickness 2019 -


Dr Alireza Mazloumi Gavgani


Senior Project Coordinator
School of Biomedical Sciences and Pharmacy
College of Health, Medicine and Wellbeing

Senior Project Coordinator
School of Information and Physical Sciences
College of Engineering, Science and Environment

Contact Details

Email alireza.mazloumigavgani@newcastle.edu.au
Phone (02) 405 53253
Mobile NA
Fax NA


Room MS317
Building Medical sciences