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Azadeh Aghamohammadi Sereshki

Ph.D. Candidate

Email: azadeh.sereshki [at] mail [dot] utoronto [dot] ca

 

Supervisor: Dr. Dinesh Kumbhare (co-supervised with Milos Popovic)

Research Interests:

  • Neuroimaging

  • fMRI

  • Brain-computer interface (BCI)

  • Machine learning

  • Ultrasound

Biography:

 

Azadeh received her B.Sc and M.Sc degree in Biomedical Engineering with specialization in Clinicals and Rehabilitations from SRBIAU, Tehran, Iran.

In her B.Sc thesis,  she used Artificial Neural Networks to classify movement data generated by a 3D accelerometer attached to the body. She completed her M.Sc thesis under the supervison of Professor Farshid Amirabdollahian from the University of Hertfordshire in the UK. Her M.Sc thesis entitled “The effect of the relationship between mental and muscular fatigue using kinematic analysis on the upper limb” used different signal processing techniques and analyzing methods including MATLAB, EEGLAB, and SPSS on EEG and EMG data.

She joined Q-PAIN Lab at Toronto Rehabilitation Institute in Sep. 2020 as a PhD candidate to research functional connectivity in people with chronic neck pain using different MRI methods including fMRI and DTI.

Publications:

  • A. Aghamohammadi-Sereshki, M-J. D. Bayazi, F. T. Ghomsheh and F. Amirabdollahian, "Investigation of Fatigue Using Different EMG Features," 2019 IEEE 16th International Conference on Rehabilitation Robotics (ICORR), Toronto, ON, Canada, 2019, pp. 115-120, doi: 10.1109/ICORR.2019.8779402.

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