Osama Ejaz

I hold a Bachelor’s degree in Biomedical Engineering (2018) and a Master’s in Mechatronics (2021) from NED University of Engineering & Technology, Pakistan. I began my early research career at the Neurocomputation Lab, National Center for AI, Pakistan, where I specialized in neural engineering, focusing on human experiments, electroencephalogram acquisition and processing, electrical stimulation, brain computer interface, and neurofeedback. This work not only enhanced my technical expertise but also fueled my interest in addressing real-world healthcare challenges through data-driven solutions.

Later, as a Computer Vision Engineer, I applied my knowledge to develop deep learning models for analyzing human motion, action recognition, object detection, tracking and segmentation in various projects related to smart cities and healthcare. These experiences gave me a strong foundation in building, training, and testing of machine learning and deep learning models, biosignal processing and working with human subjects, laying the groundwork for my current research.

Through these roles, I observed the growing potential of combining biomechanics, machine learning, and signal processing to tackle unmet needs in rehabilitation. This realization inspired me to pursue a PhD in Biomedical Engineering and accepted as a PhD candidate at Boğaziçi University as part of the MSCA COFUND BIOTIN program.

My doctoral research focuses on data-driven controller design for neuroprosthetics, utilizing tools such as EMG, IMU sensors, and gait analysis to develop and integrate ankle prosthetic device design with advanced control algorithms in conjunction of the industry. By addressing the functional and mobility challenges faced by amputees, I aim to create innovative rehabilitation solution that improve the quality of life for individuals with mobility impairments.