Hamidreza Namazi

Postdoctoral Scholar

Faculty of Kinesiology

PhD - Mechanical Engineering - Thermal & Fluids Engineering

Nanyang Technological University, Singapore, 2013

MSE - Mechanical Engineering - Manufacturing & Production

University Technology Malaysia, 2008

BSc - Mechanical Engineering - Manufacturing & Production

Amirkabir University of Technology (Tehran Polytechnic), Iran, 2006

Contact information


Research and teaching

Movement Science and Musculoskeletal Health:

  • Wearable Technologies
  • Fractal Analysis and Modelling of Mechanical and Biomedical Time Series and Patterns
  • Brain-Computer Interface and Neural Engineering
  • Application of Machine Learning in Prediction of Mechanical and Biomedical Processes
  • Physical Applied Mathematics

Research areas

Fetal Heart Rate Monitoring prior to and during labor and delivery is a common clinical practice, that guides therapy and decision making.  A non-stress test (NST), also known as fetal heart rate (fHR) monitoring, is a common prenatal test used to check on a baby's health. The maternal electrocardiogram (mECG) is generally the most prominent signal present in abdominal NST recordings. Therefore, the mECG needs to be removed to enable reliable and accurate fHR detection. However, current techniques of data acquisition and analysis are not very good due to the limitations in data acquisition and processing.

Investigators have demonstrated that higher sampling frequencies and mathematical processing of heart rate variability (HRV) data may improve both sensitivity and specificity of fetal heart rate monitoring in the clinical setting, and it is possible that acquiring mECG information at the same time and at a higher data collection frequency may provide an additional level of clinical data that is not currently available.  The intention of this investigation is to validate a specially designed electronic sensor for combined fetal and maternal HRV monitoring, capable of discriminating between fetal and maternal electrically acquired heart rate information at a sufficient sampling frequency.

Supervisor: Dr. Reed Ferber, PhD. 


Biography

Dr. Namazi received his Ph.D. in Mechanical Engineering from Nanyang Technological University. He has more than 11 years of research experience in signal and image processing. His research interests primary focus on mathematical and computational analysis and modelling of time series and patterns in mechanical and biomedical engineering. He is the author of more than 55 peer-reviewed journal papers in mechanical and biomedical signal processing. He also serves as the editor of several journals such as Fluctuations and Noise letter (IF=0.913) and Technology and Healthcare (IF=0.787).


Publications

Namazi, H., Daneshi, A., Shirzadian, T., Azarnoush, H., Jafari, S. Information based analysis of the relation between visual stimuli and human eye movements. Fluctuation and Noise Letters. DOI: 10.1142/S021947751950010X (2019).

Alipour, H., Namazi, H., Azarnoush, H, Jafari, S. Fractal-based analysis of the influence of color tonality on human eye movements. Fractals. DOI: 10.1142/S0218348X19500403 (2019).

Namazi, H. & Seifi Ala, T. Decoding of simple and compound limb motor imagery movements by fractal analysis of Electroencephalogram (EEG) signal. Fractals. DOI: 10.1142/S0218348X19500415 (2019).

Namazi, H., Jafari, S. Decoding of simple hand movements by Fractal Analysis of Electromyography (EMG) Signal. Fractals. DOI: 10.1142/S0218348X19500427 (2019).

Jithmal Pathiranagama, G. & Namazi, H. Fractal based analysis of the effect of machining parameters on surface finish of workpiece in turning operation. Fractals. DOI: 10.1142/S0218348X19500439 (2019).

Namazi, H. Fractal based classification of Electromyography (EMG) signal between fingers and hand's basic movements, functional movements, and force patterns. Fractals. DOI: 10.1142/S0218348X19500506 (2019).

Namazi, H., Akhavan Farid, A., & Teck Seng, C. Decoding of the relation between fractal structure of cutting force and surface roughness of machined workpiece in end milling operation. Fractals. DOI: 10.1142/S0218348X19500543 (2019).

Alipour, H., Menon, A., Namazi, H., Towhidkhah, F., Jafari, S. Complexity-based analysis of the relation between fractal visual stimuli and fractal eye movements. Fluctuation and Noise Letters. DOI: 10.1142/S0219477519500123 (2019).

Namazi, H., Aghasian, E., Seifi Ala, T. Fractal based classification of Electroencephalography (EEG) signals from healthy adolescents and adolescents with symptoms of schizophrenia. Technology and Health Care. DOI: 10.3233/THC-181497 (2019).

Bissoonauth, K. & Namazi, H. Complexity based decoding of the effect of machining parameters on the machined surface in milling operation. Fractals. DOI: 10.1142/S0218348X19500762 (2019).

Ahamed, A., Ahamed, A., Katuwawala, D., Ee, T. T., Tan, Z. H., Bajaj, I. S., Wickramasurendra, T., Namazi, H. Complexity based analysis of the influence of machining parameters on the surface finish of drilled holes in drilling operation. Fractals. DOI: 10.1142/S0218348X19500877 (2019).

Namazi, H., Seifi Ala, T., Aghasian, E. Complexity-based classification of EEG signal in normal subjects and patients with epilepsy. Technology and Health Care, 1-10; DOI: 10.3233/THC-181579 (2019).

Qadri, M. O. & Namazi, H. Fractal based analysis of the relation between surface finish and machine vibration in milling operation. Fluctuation and Noise Letters. DOI: 10.1142/S0219477520500066 (2019).

Kiew, C. L., Brahmananda, A., Islam, K. T., Lee, H. N., Venier, S. A., Saraar, A., Namazi, H. Fractal-based analysis of the relation between the fractal structures of machined surface and tool wear in turning operation. Fractals. DOI: 10.1142/S0218348X19500944 (2019).

Namazi, H. & Jafari, S. Age-based variations of fractal structure of EEG signal in patients with epilepsy. Fractals. DOI: 10.1142/S0218348X18500512 (2018).

Namazi, H., Akhavan Farid, A., & Teck Seng, C. Fractal-based analysis of the influence of cutting depth on complex structure of cutting forces in rough end milling. Fractals. DOI: 10.1142/S0218348X18500688 (2018).

Mozaffarilegha, M., Namazi, R., Ahadi, M. & Jafari, S. Complexity-based analysis of the difference in speech-evoked Auditory Brainstem Responses (s-ABRs) between binaural and monaural listening conditions. Fractals. DOI: 10.1142/S0218348X18500524 (2018).

Namazi, H., Daneshi, A., Azarnoush, H., Jafari, S., Towhidkhah, F. Fractal-based analysis of the influence of auditory stimuli on eye movements. Fractals. DOI: 10.1142/S0218348X18500408 (2018).

Ahmadi-Pajouh, M. A., Seifi Alaa,T., Zamanian, F., Namazi, H. & Jafari, S. Fractal-based classification of human brain response to living and non-living visual stimuli. Fractals. DOI: 10.1142/S0218348X1850069X (2018).

Mozaffarilegha, M., Namazi, H., Tahaei, A., Jafari, S. Complexity-based analysis of the difference between normal subjects and subjects with stuttering in speech evoked auditory brainstem response. Journal of Medical and Biological Engineering. DOI: 10.1007/s40846-018-0430-x (2018).

Namazi, H., Akhavan Farid, A., & Teck Seng, C. Complexity-based analysis of the influence of tool geometry on cutting forces in rough end milling. Fractals. DOI: 10.1142/S0218348X18500780 (2018).

Alipour, J. M., Khosrowabadi, R. & Namazi, H. Fractal-based analysis of the influence of variations of rhythmic patterns of music on human brain response. Fractals. DOI: 10.1142/S0218348X18500809 (2018).

Namazi, H., Seifi Ala, T., Kulish, V. Decoding of Upper Limb Movement by Fractal Analysis of Electroencephalogram (EEG) Signal. Fractals. DOI: 10.1142/S0218348X18500810 (2018).

Namazi, H., Akhavan Farid, A., & Teck Seng, C. Fractal-based analysis of the variations of cutting forces along different axes in end milling operation. Fractals. DOI: 10.1142/S0218348X18500895 (2018).

Namazi, H., Seifi Ala, T., Bakardjian, H. Decoding of Steady-State Visual Evoked Potentials by Fractal Analysis of the Electroencephalographic (EEG) Signal. Fractals. DOI: 10.1142/S0218348X18500925 (2018).

Rajagopal, K., Bayani, A., Khalaf, A. J. M., Namazi, H., Jafari, S., Pham, V. T. A no-equilibrium memristive system with four-wing hyperchaotic attractor. International Journal of Electronics and Communications. DOI: 10.1016/j.aeue.2018.08.022 (2018).

Jahanshahi, H., Rajagopal, K., Akgul, A., Najafizadeh Sari, N., Namazi, H., Jafari, S. Complete analysis and engineering applications of a megastable nonlinear oscillator. International Journal of Non-Linear Mechanics. DOI: 10.1016/j.ijnonlinmec.2018.08.020 (2018).

Namazi, H & Jafari, S. Decoding of wrist movements direction by fractal analysis of Magnetoencephalography (MEG) signal. Fractals. DOI: 10.1142/S0218348X19500014 (2018).

Alipour, H., Namazi, H., Azarnoush, H, Jafari, S. Complexity based analysis of the influence of visual stimulus color on human eye movement. Fractals. DOI: 10.1142/S0218348X19500026 (2018).

Thasthakeer, A. T., Namazi, H., Akhavan Farid, A., & Teck Seng, C. Analysis of the correlation between fractal structure of cutting force signal and surface roughness of machined workpiece in end milling operation. Fractals. DOI: 10.1142/S0218348X19500130 (2018).

Namazi, H. & Jafari, S. Estimating of brain development in newborns by fractal analysis of sleep Electroencephalographic (EEG) Signal. Fractals. DOI: 10.1142/S0218348X1950021X (2018).

Namazi, H. Decoding of Hand Gestures by Fractal Analysis of Electromyography (EMG) Signal. Fractals. DOI: 10.1142/S0218348X19500221 (2018).

Alipour, H., Namazi, H., Azarnoush, H, Jafari, S. Complexity-based analysis of the relation between moving visual stimuli and human eye movement. Fractals. DOI: 10.1142/S0218348X19500245 (2018).

Namazi, H. Fractal based classification of Electromyography (EMG) signal in response to basic movements of the fingers. Fractals. DOI: 10.1142/S0218348X19500373 (2018).

Namazi H, Khosrowabadi R, Hussaini J, Habibi S, Akhavan A, Kulish V.V. Analysis of the influence of memory content of auditory stimuli on the memory content of EEG signal. Oncotarget, 7, 56120-56128, 2016; DOI: 10.18632/oncotarget.11234.

Namazi H, Kulish V.V, Nazeri S, Wong A. Mathematical Based Calculation of Drug Penetration Depth in Solid Tumors. Biomed research international, 2016, 8437247, 2016; DOI: 10.1155/2016/8437247.

Namazi H, Akrami A, Hussaini J, Silva O.N, Wong A, Kulish V.V. The fractal based analysis of human face and DNA variations during aging. Bioscience Trends. 2016; DOI: 10.5582/bst.2016.01182.

Namazi H, Akrami A, Haghighi R, Delaviz A, Kulish V.V. Analysis of the Influence of Element's Entropy on the Bulk Metallic Glass (BMG) Entropy, Complexity and Strength. Metallurgical and Materials Transactions A. 2016; DOI: 10.1007/s11661-016-3870-3.

Namazi H, Kulish V.V., Hussaini J, Hussaini J, Delaviz A, Delaviz F, Habibi S, Ramezanpoor S. A Signal processing based analysis and prediction of seizure onset in patients with epilepsy. Oncotarget. 7(1), 2015; doi: 10.18632/oncotarget.6341.

Namazi H, Kulish V.V, Delaviz F, Delaviz A. Diagnosis of skin cancer by correlation and complexity analyses of damaged DNA. Oncotarget. 6(40), 2015; doi: 10.18632/oncotarget.6003.

Haghighi R, Namazi H. Algorithm for Identifying Minimum Driver Nodes Based on Structural Controllability. Mathematical Problems in Engineering, 2015, 192307, 2015. doi:10.1155/2015/192307.

Namazi H, Kiminezhadmalaie M. Diagnosis of Lung Cancer by Fractal Analysis of Damaged DNA. Computational and Mathematical Methods in Medicine, 2015, 242695, 2015; doi:10.1155/2015/242695.

Namazi H, Kulish V.V. Fractional Diffusion Based Modelling and Prediction of Human Brain Response to External Stimuli. Computational and Mathematical Methods in Medicine, 2015, 148534, 2015; doi:10.1155/2015/148534.

Namazi H, Kulish V.V. A Mathematical Based Calculation of a Myelinated Segment in Axon. Computers in Biology and Medicine, 43, 693–698, 2013.

Namazi H, Kulish V.V. A Mathematical Based Definition of Human Consciousness. Mathematics in Engineering, Science and Aerospace, 3(2), 189-198, 2012.

Seetharaman K, Namazi H, Kulish V.V. Phase-lagging Model of Brain Response to External Stimuli-Modelling of Single Action Potential. Computers in Biology and Medicine. 42(8), 857-862, 2012.

Namazi H, Kulish V.V. Mathematical Modelling of Human Brain Neuronal Activity in the Absence of External Stimuli. Journal of Medical Imaging and Health Informatics. 2, 1-8, 2012.


Awards

Nanyang Technological University Research Scholarship, August 2008-August 2012