Dr Rashid Afkhami

Dr Rashid Afkhami

Research Academic

School of Engineering

Career Summary

Biography

I have received Bachelor and Master degrees from the University of Tabriz and a PhD in Electrical Engineering from the University of Newcastle in 2021. My current research interests are brain imaging, healthy ageing, signal processing and machine learning.  

Qualifications

  • Doctor of Philosophy, University of Newcastle
  • Masters Degree, University of Tabriz - Iran

Keywords

  • Healthy ageing
  • Machine learning
  • Signal processing

Languages

  • Azeri (Mother)
  • English (Fluent)

Fields of Research

Code Description Percentage
400904 Electronic device and system performance evaluation, testing and simulation 60
460102 Applications in health 40

Professional Experience

UON Appointment

Title Organisation / Department
Research Academic University of Newcastle
School of Engineering
Australia
Casual Academic University of Newcastle
School of Engineering
Australia
Research Academic University of Newcastle
School of Engineering
Australia
Research Academic University of Newcastle
School of Electrical Engineering and Computing
Australia
Research Academic University of Newcastle
School of Electrical Engineering and Computing
Australia
Casual Academic University of Newcastle
School of Electrical Engineering and Computing
Australia
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Publications

For publications that are currently unpublished or in-press, details are shown in italics.

Highlighted Publications

Year Citation Altmetrics Link
2020 Afkhami RG, Walker FR, Ramadan S, Johnson S, 'A Dynamic Model of Brain Hemodynamics in Near-Infrared Spectroscopy', IEEE Transactions on Biomedical Engineering, 67 2103-2109 (2020) [C1]
DOI 10.1109/TBME.2019.2954829
Citations Scopus - 1
Co-authors Saadallah Ramadan, Rohan Walker, Sarah Johnson
2021 Afkhami R, Johnson S, 'Wave reflection: More than a round trip', Medical Engineering and Physics, 92 40-44 (2021) [C1]

Reflected pressure waves are key to the understanding of vascular ageing, a prominent factor in major cardiovascular events. Several different metrics have been proposed to index ... [more]

Reflected pressure waves are key to the understanding of vascular ageing, a prominent factor in major cardiovascular events. Several different metrics have been proposed to index the effect of wave reflection on the pressure waveform and thereby serve as an indicator of vascular ageing. The extent to which these indices are influenced by factors other than vascular health remains a matter of concern. In this paper, we use transmission-line theory to derive a mathematical model for the reflection time (Trefl), and the augmentation index (AI), assuming a general extended model of the arterial system. Then, we test the proposed model against values reported in the literature. Finally, we discuss insights from the model to common observations in the literature such as age-related ¿shift¿ in the reflection site, the variation of AI with heart rate, and the flattening of Trefl in older participants.

DOI 10.1016/j.medengphy.2021.04.005
Citations Scopus - 1
Co-authors Sarah Johnson

Journal article (7 outputs)

Year Citation Altmetrics Link
2021 Afkhami R, Walker FR, Ramadan S, Wong R, Johnson SJ, 'Indexing cerebrovascular health using near-infrared spectroscopy', Scientific Reports, 11 (2021)

Near-infrared spectroscopy (NiRS) is a relatively new technology of brain imaging with its potential in the assessment of cerebrovascular health only recently discovered. Encourag... [more]

Near-infrared spectroscopy (NiRS) is a relatively new technology of brain imaging with its potential in the assessment of cerebrovascular health only recently discovered. Encouraging early results suggest that NiRS can be used as an inexpensive and portable cerebrovascular health tracking device using a recently proposed pulse relaxation function (PReFx). In this paper, we propose a new NiRS timing index, TI NiRS, of cerebrovascular health. TI NiRS is a novel use of the NiRS technology. TI NiRS is motivated by the previously proved relationship of the timing of the reflected wave with vascular resistance and compliance in the context of pressure waveforms. We correlated both TI NiRS and PReFx against age, a non-exercise cardiorespiratory fitness (CRF) index, and two existing indices of cerebrovascular health, namely transcranial Doppler (TCD) augmentation index, AI TCD, and magnetic resonance imaging (MRI) blood flow pulsatility index, PI MRI. The TI NiRS correlations with Age, CRF, PI MRI and AI TCD all are significant, i.e., r= 0.53 (p= 0.002), r= - 0.44 (p= 0.011), r= 0.45 (p= 0.012) and r= 0.46 (p= 0.010), respectively. PReFx, however, did not have significant correlations with any of the vascular health factors. The proposed timing index is a reliable indicator of cerebrovascular aging factors in the NiRS waveform.

DOI 10.1038/s41598-021-94348-5
Co-authors Saadallah Ramadan, Rohan Walker, Sarah Johnson
2021 Afkhami R, Johnson S, 'Wave reflection: More than a round trip', Medical Engineering and Physics, 92 40-44 (2021) [C1]

Reflected pressure waves are key to the understanding of vascular ageing, a prominent factor in major cardiovascular events. Several different metrics have been proposed to index ... [more]

Reflected pressure waves are key to the understanding of vascular ageing, a prominent factor in major cardiovascular events. Several different metrics have been proposed to index the effect of wave reflection on the pressure waveform and thereby serve as an indicator of vascular ageing. The extent to which these indices are influenced by factors other than vascular health remains a matter of concern. In this paper, we use transmission-line theory to derive a mathematical model for the reflection time (Trefl), and the augmentation index (AI), assuming a general extended model of the arterial system. Then, we test the proposed model against values reported in the literature. Finally, we discuss insights from the model to common observations in the literature such as age-related ¿shift¿ in the reflection site, the variation of AI with heart rate, and the flattening of Trefl in older participants.

DOI 10.1016/j.medengphy.2021.04.005
Citations Scopus - 1
Co-authors Sarah Johnson
2021 Afkhami R, Wong R, Ramadan S, Walker FR, Johnson S, 'Indexing Cerebrovascular Health Using Transcranial Doppler Ultrasound', Ultrasound in Medicine and Biology, 47 919-927 (2021) [C1]

Transcranial Doppler (TCD) blood flow velocity has been extensively used in biomedical research as it provides a cost-effective and relatively simple approach to assess changes in... [more]

Transcranial Doppler (TCD) blood flow velocity has been extensively used in biomedical research as it provides a cost-effective and relatively simple approach to assess changes in cerebral blood flow dynamics and track cerebrovascular health status. In this article we introduce a new TCD-based timing index, TITCD, as an indicator of vascular stiffening and vascular health. We investigate the correlations of the new index and the existing indices, namely the pulsatility index and the augmentation index, with age, cardiorespiratory fitness (CRF) and magnetic resonance imaging (MRI) blood flow pulsatility index (PIMRI). Notably, the new index showed stronger correlations with CRF (r = -0.79) and PIMRI (r = 0.53) compared with the augmentation index (r = -0.65 with CRF and no significant correlation with PIMRI) and the pulsatility index (no significant correlations with CRF or PIMRI), and a similar correlation with age as the augmentation index. The clearer relationship of the proposed timing index with vascular aging factors underlines its utility as an early indicator of vascular stiffening.

DOI 10.1016/j.ultrasmedbio.2020.12.022
Citations Scopus - 2Web of Science - 2
Co-authors Rohan Walker, Sarah Johnson, Saadallah Ramadan
2020 Afkhami RG, Walker FR, Ramadan S, Johnson S, 'A Dynamic Model of Brain Hemodynamics in Near-Infrared Spectroscopy', IEEE Transactions on Biomedical Engineering, 67 2103-2109 (2020) [C1]
DOI 10.1109/TBME.2019.2954829
Citations Scopus - 1
Co-authors Saadallah Ramadan, Rohan Walker, Sarah Johnson
2020 Afkhami G, Wong R, Ramadan S, Walker FR, Johnson SJ, 'Indexing Cerebrovascular Health Using Transcranial Doppler Ultrasound (2020)
DOI 10.1101/2020.04.20.20073197
Co-authors Sarah Johnson
2017 Sultan Qurraie S, Ghorbani Afkhami R, 'ECG arrhythmia classification using time frequency distribution techniques', Biomedical Engineering Letters, 7 325-332 (2017) [C1]
DOI 10.1007/s13534-017-0043-2
Citations Scopus - 20Web of Science - 18
2016 Ghorbani Afkhami R, Azarnia G, Tinati MA, 'Cardiac arrhythmia classification using statistical and mixture modeling features of ECG signals', Pattern Recognition Letters, 70 45-51 (2016)
DOI 10.1016/j.patrec.2015.11.018
Citations Scopus - 106Web of Science - 91
Show 4 more journal articles

Conference (3 outputs)

Year Citation Altmetrics Link
2018 Afkhami RG, Low K, Walker F, Johnson S, 'A Dynamic Model of Synthetic Resting-State Brain Hemodynamics', 2018 26TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), Rome, ITALY (2018) [E1]
Citations Scopus - 1Web of Science - 1
Co-authors Rohan Walker, Sarah Johnson
2016 Azarnia G, Tinati MA, Ghorbani Afkhami R, 'Heart blocks detection in ECG signals using time frequency distribution techniques', Electrical Engineering (ICEE), 2016 24th Iranian Conference on, IEEE (2016)
Citations Web of Science - 1
2015 Afkhami RG, Tinati MA, 'ECG based detection of left ventricular hypertrophy using higher order statistics', ICEE 2015 - Proceedings of the 23rd Iranian Conference on Electrical Engineering (2015)

Electrocardiogram (ECG) is a popular non-invasive test record, which shows the electrical activities of the heart. In this paper we propose a novel method to detect left ventricul... [more]

Electrocardiogram (ECG) is a popular non-invasive test record, which shows the electrical activities of the heart. In this paper we propose a novel method to detect left ventricular hypertrophy (LVH) with the use of ECG. Left ventricular hypertrophy is defined as the enlargement of the left ventricle, which is a common disease among hypertension patients. Proposed algorithm uses discrete wavelet transform (DWT) to extract morphological features of ECG signal and exploits higher order statistic (HOS) features including kurtosis, skewness and 5th moment. These features are fed to a support vector machine (SVM) classifier with kernel function of radial basis function (RBF). Our method has been tested on a large database of ECG signals and we have obtained the highest accuracy of 99.6% and sensitivity of 99.4%.

DOI 10.1109/IranianCEE.2015.7146172
Citations Scopus - 8Web of Science - 2

Other (2 outputs)

Year Citation Altmetrics Link
2020 Afkhami R, Johnson S, 'Wave Reflection: More Than A Round Trip', medRxiv (2020) [O1]
DOI 10.1101/2020.03.30.20048223
Co-authors Sarah Johnson
Afkhami R, Walker FR, Ramadan S, Wong R, Johnson S, 'Indexing Cerebrovascular Health Using Near-infrared Spectroscopy', Cold Spring Harbor Laboratory [O1]
DOI 10.1101/2021.05.09.21256921

Thesis / Dissertation (1 outputs)

Year Citation Altmetrics Link
2021 Afkhami R, Indexing Cerebrovascular Health Using Near-infrared Spectroscopy: A Multi-Model Analysis, The University of Newcastle (2021)
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Grants and Funding

Summary

Number of grants 5
Total funding $58,374

Click on a grant title below to expand the full details for that specific grant.


20211 grants / $17,467

College of Engineering Science and Environment Equipment and Infrastructure Scheme$17,467

Funding body: College of Engineering, Science and Environment, University of Newcastle

Funding body College of Engineering, Science and Environment, University of Newcastle
Project Team

Dr Emily Cox, Dr Rashid Afkhami, Dr Hayley Lewthwaite, Dr Nattai Borges, Dr Sean Lanting, Professor Viv Chuter

Scheme Equipment and Infrastructure Investment Scheme
Role Investigator
Funding Start 2021
Funding Finish 2021
GNo
Type Of Funding Internal
Category INTE
UON N

20184 grants / $40,907

PRC-SBI Research Support Grant$19,507

Funding body: Priority Research Centre for Stroke and Brain Injury, University of Newcastle

Funding body Priority Research Centre for Stroke and Brain Injury, University of Newcastle
Project Team

Frini Karayanidis, Aaron Wong, Rashid Afkhami, Patrick Cooper, Monica Fabiani, Gabriele Gratton, Christopher Levi, Ken Butcher

Scheme Research Support Funding
Role Investigator
Funding Start 2018
Funding Finish 2018
GNo
Type Of Funding Internal
Category INTE
UON N

PRC-SBI Research Support$15,840

Funding body: Priority Research Centre for Stroke and Brain Injury, University of Newcastle

Funding body Priority Research Centre for Stroke and Brain Injury, University of Newcastle
Project Team

Mr. Rashid Afkhami, Prof. Sarah Johnson, Prof. Rohan Walker

Scheme Research Support Funding
Role Lead
Funding Start 2018
Funding Finish 2018
GNo
Type Of Funding Internal
Category INTE
UON N

Imaging Centre Research Pilot Grant$3,960

Funding body: Hunter Medical Research Institute (HMRI)

Funding body Hunter Medical Research Institute (HMRI)
Project Team

Prof. Sarah Johnson, Prof. Rohan Walker, Mr. Rashid Afkhami

Scheme Project Grant
Role Investigator
Funding Start 2018
Funding Finish 2018
GNo
Type Of Funding Internal
Category INTE
UON N

Travel/Publication Support- PRC for Stroke and Brain Injury$1,600

Funding body: Priority Research Centre for Stroke and Brain Injury, University of Newcastle

Funding body Priority Research Centre for Stroke and Brain Injury, University of Newcastle
Project Team

Rashid Afkhami

Scheme Research Support Funding
Role Lead
Funding Start 2018
Funding Finish 2018
GNo
Type Of Funding Internal
Category INTE
UON N
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Research Collaborations

The map is a representation of a researchers co-authorship with collaborators across the globe. The map displays the number of publications against a country, where there is at least one co-author based in that country. Data is sourced from the University of Newcastle research publication management system (NURO) and may not fully represent the authors complete body of work.

Country Count of Publications
Australia 6
Iran, Islamic Republic of 4
United States 1
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Dr Rashid Afkhami

Positions

Research Academic
School of Engineering
College of Engineering, Science and Environment

Research Academic
School of Engineering
College of Engineering, Science and Environment

Casual Academic
School of Engineering
College of Engineering, Science and Environment

Contact Details

Email rashid.afkhami@newcastle.edu.au
Mobile 0416359024

Office

Room ES221
Building Engineering S
Location Callaghan
University Drive
Callaghan, NSW 2308
Australia
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