Personal statement

Dr. Namazi received his Ph.D. in Mechanical Engineering in 2013. He has more than 2 years of postdoctoral research experience in signal processing and pattern recognition. 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 40 peer-reviewed journal papers in mechanical and biomedical signal processing. He also serves as the editor of several journals such as computers in biology and medicine (Elsevier).

Academic degrees

• Doctor of Philosophy in Mechanical Engineering, Nanyang Technological University Singapore, 2013
• Master in Mechanical Engineering (Advanced Manufacturing Technology), Universiti Teknologi Malaysia, 2008
• Degree in Mechanical Engineering (Manufacturing & Production), Amirkabir University of Technology, Iran, 2006

Professional affiliations

Member of National Professional Bodies

• Board of Engineers Malaysia, Graduate Engineer

Member of International Professional Bodies

• American Society of Mechanical Engineers (ASME), Member

Research Interests

• Complexity Based Analysis and Modelling of Mechanical and Biomedical Time series and Patterns
• Brain-Computer Interface and Neural Engineering
• Mathematical Modelling and Analysis of Energy Transport in Mechanical and Biological systems

Research Projects

Title: Mapping of Human Body by Fractal Analysis and Modelling of the Relation Between Different Bio Signals

Analysis of the influence of external stimuli on human body is one the major issues in physiological science. On the other hand, it is known that the brain controls all activities of human body. In fact, it is known that the brain sends the impulses to different organs after receiving and processing of external stimuli in order to regulate human body activities. Therefore, the reaction of different organs to external stimuli should be related to the brain’s reaction to those stimuli. Analysis of the organ’s related signal is one of the major tools to investigate its activity. In this research we generate a map of human body by decoding of the relation between different bio signals. For this purpose, initially we consider the brain, heart, skin, and muscle activities by recording the Electroencephalography (EEG), Electrocardiography (ECG), Galvanic Skin Response (GSR) and Electromyography (EMG) signals respectively. Since, different bio signals have complex structures, we benefit from fractal theory in order to analyse, and also make the relation between the characteristics of different recorded bio signals by mathematical modelling. Since, the brain controls human body through the nervous system, we hypothesize that we can generate a map of human body activity in this research.

Education

Units taught

ENG1001 - Engineering Design: Lighter, Faster, Stronger

MEC2408 - Advanced Engineering Technologies

MEC3451 - Electromechanics

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Local grants

• Mathematical modelling and prediction of multimodal human body physiological responses to external auditory and visual stimuli, Dr. Hamidreza Namazi, Prof. SITHI VINAYAKAM A/L MUNIANDY, Dr. Faranak Rabiei, Dr. Liang Shiuan Ni, Prof. Georg Northoff, 2019-2021, Ministry of Education Malaysia, RM 100,000
• Mapping of Human Body by Decoding of the Relation Between Different Bio Signals, Dr. Hamidreza Namazi, Prof. Georg Northoff, 2019, Monash University Malaysia School of Engineering Seed Grant, RM 20,000
• Investigating the learning ability and conditions of students in virtual reality learning condition by analysis of physiological signals, Dr. Hamidreza Namazi, Dr. Mehrtash Harandi, 2019, Faculty of Engineering- Monash University Australia, AUD 3390

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