NCBL
NCBL

University of Alberta

Milad Nazarahari

Me1.jpg
IMUs and Vicon Motion Capture

IMUs and Vicon Motion Capture

About ME

I received my B.Sc. and M.Sc. degrees in Mechanical Engineering from Iran University of Science and Technology, in 2012 and 2014, respectively. I am currently a Ph.D. candidate with the “Neuromuscular Control and Biomechanics Laboratory” at the University of Alberta.

From 2012 to 2016, I was a Research Assistant with the Iran University of Science and Technology. Since September 2016, I have been Research & Teaching Assistant with the Mechanical Engineering Department, University of Alberta. I am a translator of three books (English to Persian) and author/ co-author of more than 20 research articles. In terms of teaching, I have been TA for two courses (Mechanical Engineering Laboratory I (six times) and Mechanical Measurement (two times)) and mentored six undergraduate students during their co-op projects. I have also completed “Graduate Teaching and Learning Program” levels 1 (Foundation) and 2 (Practicum) to enhance my teaching knowledge and skill in lesson planning and delivery, and classroom management and leadership.

Supervisor:

  • Dr. Hossein Rouhani

Research Interests:

  • Wearable Technology for Daily Health Monitoring

  • Rehabilitation Engineering

  • Gait & Movement Disorder Measurement

  • Biomedical Signal processing

  • Applications of Machine Learning and Artificial Intelligence in Biomedical Engineering

PROJECT

During my M.Sc. program, I worked on technology development for automatic classification of cardiac arrhythmias. Automatic detection and classification of cardiac irregularities is of crucial importance, particularly in coronary care units. For this purpose, I developed a novel approach for optimal feature extraction from ECG signals. Then, using Artificial Neural Networks and Support Vector Machine, my method achieved a high classification rate among eight cardiac arrhythmias.

During my Ph.D. studies, I acquired experience on human motion analysis by working on different research projects which directly targeted technology development for motion analysis of the (i) patients with brain and spinal cord injury, (ii) elderly population with limited mobility, (iii) patients with shoulder dysfunction, and (iv) athletes with a high risk of Mild Traumatic Brain Injury. For this purpose, I have completed multiple experimental studies at the Glenrose Rehabilitation Hospital and the University of Alberta campus. As a study coordinator, I overcame the challenges in participant recruitment and data collection during long-term experiments. The main research projects that I have been involved in are as follows:

  1. Long-term daily activity monitoring and identification of body postures using Inertial Measurement Units (IMUs).

  2. Development and clinical implementation of a wearable biomedical device to assess the shoulder motion of patients with Brachial Plexus Injury.

  3. Development of an instrumentation concussion prevention testing device for neck strength evaluation during sub-concussive whiplash tests using Inertial Measurement Units (IMUs).

Currently, I am working on developing a wearable sensor technology to monitor the lower limb motion of patients with brain and spinal cord injury in real-time as an alternative to conventional camera motion capture system. Successful implementation of the proposed innovative technology will have a revolutionizing effect on therapeutic walking training of these patients in several ways. The main advantage of this technology is that it will be affordable and accessible, even in small clinics.

I commonly use three types of equipment for my research:

  1. Inertial Measurement Units (IMUs) comprised of tri-axial accelerometer, tri-axial gyroscope, and tri-axial magnetometer, to monitor human motion.

  2. Motion-capture cameras (VICON), to validate the results obtained by IMU systems.

  3. Pedar Sensitive Pressure Insole System, to measure pressure distribution between the foot and the shoe during walking and detecting spatiotemporal parameters of the gait.

 

 

 

 

 

 

 

 

 

 

 

 

Voluntary services

  • Member of General Faculties Council (GFC), University of Alberta.

  • Member of GFC Committee on the Learning Environment (CLE), University of Alberta.

  • Mechanical Engineering Building Fire Warden (4th Floor), University of Alberta.

  • VP-Academic of Mechanical Engineering Graduate Students Association (MEGSA).

  • Member of Graduate Students’ Association (GSA) Council (Mechanical Engineering Department Councillor at the GSA meetings).

  • Member of University of Alberta’s Alumni Community (Exam Greeter with Student Accessibility Services (SAS)), University of Alberta.

AWARDS

  • Vanier Canada Graduate Scholarships, University of Alberta (2018).

  • President’s Doctoral Prize of Distinction, University of Alberta (2018).

  • RR Gilpin Memorial Scholarship, University of Alberta (2018).

  • Graduate Student Research Assistant Award, University of Alberta (2018).

  • Alberta Innovates – Graduate Studentship Scholarship, University of Alberta (2017).

  • Sadler Graduate Scholarship in Mechanical Engineering, University of Alberta (2017).

  • Graduate Student Association Academic Travel Award, University of Alberta (2017).

  • Invited to the University of Alberta’s chapter of the Golden Key International Honor Society (2017).

  • University of Alberta Doctoral Recruitment Scholarship, University of Alberta (2016).

  • Ontario Trillium Scholarship and York University Ph.D. Entrance Scholarship for the Ph.D. program at York University, (2016) – declined.

  • University of Queensland International Scholarship for the Ph.D. program at University of Queensland (2016) – declined.

  • Deakin University Postgraduate EPCRC Scholarship for the Ph.D. program at Deakin University (2016) – declined.

  • Exempted from Ph.D. entrance exam as an “Exceptionally Talented” student in Iran University of Science and Technology (2014) – declined.

  • Ranked 1st in M.Sc. program in Mechatronics, School of Mechanical Engineering, Iran University of Science and Technology (2013).

publications

Journal Publications

  1. M. Nazarahari, A. Noamani, N. Ahmadian, H. Rouhani, “Sensor-to-Body Calibration Procedure for Clinical Motion Analysis of Lower Limb Using Magnetic and Inertial Measurement Units,” Journal of Biomechanics, Vol. 85, pp. 224-229, 2019.

  2. M. Nazarahari, E. Khanmirza, S. Doostie, “Multi-objective multi-robot path planning in continuous environment using an Enhanced Genetic Algorithm,” Expert Systems With Applications, Vol. 115, pp. 106-120, 2019.

  3. M. Nazarahari, H. Rouhani, “Detection of daily postures and walking modalities using a single chest-mounted tri-axial accelerometer,” Medical Engineering & Physics, Vol. 57, pp. 75-81, 2018.

  4. S. Doostie, A. K. Hoshiar, M. Nazarahari, S. Lee, H. Choi, “Optimal path planning of multiple nanoparticles in continuous environment using a novel Adaptive Genetic Algorithm,” Precision Engineering, Vol. 53, pp. 65-78, 2018.

  5. E. Khanmirza, M. Nazarahari, M. Haghbegi, “Schedule design and fleet assignment based on modified intelligent algorithms,” Modares Mechanical Engineering, Vol. 17, No. 6, pp. 59-66, 2017.

  6. M. H. Korayem, A. K. Hoshiar, M. Nazarahari, “A Hybrid co-evolutionary Genetic Algorithm for multiple nanoparticle assembly tasks path planning,” International Journal of Advanced Manufacturing Technology, Vol. 87, pp. 3527–3543, 2016.

  7. E. Khanmirza, M. Nazarahari, A. Mousavi, “Identification of piecewise affine systems based on fuzzy PCA-guided robust clustering technique,” EURASIP Journal on Advances in Signal Processing, pp. 131, 2016.

  8. M. Nazarahari, S. Ghorbanpour Namin, A. H. Davaie Markazi, A. Kabir Anaraki, “A multi-wavelet optimization approach using similarity measures for electrocardiogram signal classification,” Biomedical Signal Processing and Control, Vol. 20, pp. 142-151, 2015.

  9. E. Khanmirza, A. R. Mousavi, M. Nazarahari, “Piecewise affine hybrid system identification using adaline neural networks,” Modares Mechanical Engineering, Vol. 15, No. 5, pp. 397-404, 2015.

  10. A. H. Davaie Markazi, M. Nazarahari, “Application of DWT for ships’ acoustic signal identification using feature extraction methods and ensemble learning,” Modares Mechanical Engineering, Vol. 15, No. 8, pp. 75-84, 2015.

Conference Publications

  1. M. Nazarahari, A. Noamani, H. Rouhani, “Accurate and repeatable sensor-to-body calibration of inertial measurement units for lower limb motion analysis,” XXVII Congress of the International Society of Biomechanics (ISB2019), Calgary, 2019.

  2. Noamani, M. Nazarahari, A. Vette, H. Rouhani, “Evaluation of wearable inertial sensors for quantification of standing balance,” XXVII Congress of the International Society of Biomechanics (ISB2019), Calgary, 2019.

  3. N. Ahmadian M. Nazarahari, J. Whittaker, H. Rouhani, “Using kinematic signals features of body-worn inertial sensor for temporal events detection of locomotion,” Proceedings of The Joint Canadian Society for Mechanical Engineering and CFD Society of Canada International Congress 2019 (CSME-CFDSC 2019), London, 2019.

  4. M. Nazarahari, M. Chan, A. Vette, H. Rouhani, “An instrumented functional test for outcome evaluation of shoulder motion following Brachial Plexus Injury,” Glenrose Rehabilitation Hospital: Spotlight on Innovation, Edmonton, 2018 (Applied Poster Award Winner).

  5. N. Ahmadian, S. Sunner, M. Nazarahari, J. Whittaker, H. Rouhani, “Detecting temporal events during locomotion using body-worn inertial sensors,” Glenrose Rehabilitation Hospital: Spotlight on Innovation, Edmonton, 2018.

  6. M. Nazarahari, J. Arthur, H. Rouhani, “A novel concussion active prevention testing device for neck strength evaluation during sub-concussive impacts,” Proceedings of The Canadian Society for Mechanical Engineering International Congress 2018 (CSME2018), Toronto, 2018.

  7. M. Nazarahari, H. Rouhani, “A robust daily activity analysis methodology using a single tri-axial accelerometer mounted on the chest,” 18th Annual Alberta Biomedical Engineering Conference 2017 (BME2017), Banff, 2017.

  8. E. Khanmirza, M. Haghbeigi, M. Nazarahari, S. Doostie, “A Comparative study of deterministic and probabilistic mobile robot path planning algorithms,” 5th RSI International Conference on Robotics and Mechatronics (ICRoM2017), Tehran, 2017.

  9. M. Nazarahari, H. Rouhani, “Robust long-term daily activity analysis using wearable sensor technology,” Oral Presentation in 2017 University of Alberta Faculty of Engineering Graduate Research Symposium (FEGRS2017), Edmonton, 2017.

  10. M. Nazarahari, S. Doostie, A. K. Hoshiar, “A novel intelligent path planning method for assembly task of multiple nanoparticles,” Oral Presentation in 2017 University of Alberta Faculty of Engineering Graduate Research Symposium (FEGRS2017), Edmonton, 2017.

  11. K. Hoshiar, M. Kianpour, M. Nazarahari, M. H. Korayem, “Path planning in the AFM nanomanipulation of multiple spherical nanoparticles by using a co-evolutionary Genetic Algorithm,” 2016 International Conference on Manipulation, Automation and Robotics at Small Scales (MARSS2016), Paris, pp. 1-6, 2016.

  12. M. Nazarahari, E. Khanmirza, A. Mousavi, “Intelligent identification of linear hybrid systems,” 23rd Annual International Conference on Mechanical Engineering (ISME2015), Tehran, 2015.

  13. A. Mousavi, E. Khanmirza, M. Nazarahari, “Intelligent identification of switch-mode DC-DC converters,” 3rd RSI International Conference on Robotics and Mechatronics (ICRoM2015), Tehran, 2015.

  14. S. Ghorbanpour, M. Nazarahari, A. H. Davaie Markazi, A. Kabir Anaraki, “Automatic ECG arrhythmia classification using ensemble learning,” 1st Conference on Novel Approaches of Biomedical Engineering in Cardiovascular Diseases, Tehran, 2014.

  15. M. Nazarahari, A. H. Davaie Markazi, “A novel method for ships’ acoustic signal classification for ship traffic monitoring in commercial ports,” 4th International Conference on Acoustic and Vibration (ISAV2014), Tehran, 2014.