Biography

Gelareh Hajian is a postdoctoral researcher at KITE, Toronto Rehabilitation Institute, University Health Network. She works with Dr. Alex Mihailidis and Dr. Jennifer Campos to investigate the utilization of automated vehicles by older adults with and without dementia. Her research focuses on proposing design solutions that can enhance the usability of automated vehicles for this demographic, using statistical and machine learning techniques.

Gelareh received her Ph.D. in Electrical and Computer Engineering with a Specialization in Biomedical Engineering from Queen’s University. During her doctoral research, she utilized machine learning and deep learning approaches to model the end-point upper limb force based on recorded high-density electromyogram (HD-EMG) and kinematic data under various experimental conditions. Her research interests include physiological signal processing and modelling, machine learning and deep learning, human-artificial intelligence (AI) interaction, intelligent technologies development, rehabilitation, and aging. She strives to develop innovative approaches to solve various research problems, particularly those related to monitoring and managing safety and health to enhance the quality of life for older adults.

Selected Publications

G. Hajian, E. Morin and A. Etemad, Multimodal Estimation of Endpoint Force During Quasi-Dynamic and Dynamic Muscle Contractions Using Deep Learning, in IEEE Transactions on Instrumentation and Measurement, vol. 71, pp. 1-11, 2022, doi: 10.1109/TIM.2022.3189632.

G. Hajian and E. Morin, Deep Multi-Scale Fusion of Convolutional Neural Networks for EMG-Based Movement Estimation, in IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 30, pp. 486-495, 2022, doi: 10.1109/TNSRE.2022.3153252.

G. Hajian, B. Behinaein, A. Etemad, E. Morin, Bagged tree ensemble modelling with feature selection for isometric EMG-based force estimation, in Biomedical Signal Processing and Control, vol. 78, pp. 104012, 2022, doi: 10.1016/j.bspc.2022.104012.

G. Hajian, A. Etemad, E. Morin, Generalized EMG-based isometric contact force estimation using a deep learning approach, in Biomedical Signal Processing and Control, vol. 70, pp. 103012, 2021, doi: 10.1016/j.bspc.2021.103012.

G. Hajian, A. Etemad, E. Morin, Automated channel selection in high-density sEMG for improved force estimation, in Sensors, vol. 20, no. 17, pp. 4858-4874, 2020, doi: 10.3390/s20174858.