Behrad Taghibeyglou Email & Phone Number

📝 Summary✦ Research focuses on remote monitoring and wearable biomedical/healthcare applications using data analytics and edge-AI.✦ Collected physiological signals (PPG, EEG, ECG, EMG, Respiration, Temperature, Acoustic, Speech, Facial video, Remote Video) from human subjects.✦ Performed advanced signal processing methods using Python/MATLAB.✦ 4+ Entrepreneurship in developing cuffless blood pressure monitoring technologies.✦ 4+ years of industrial experience in developing signal processing and AI-based algorithms for wearable technologies in health/wellness monitoring. ✦ 5+ years of research experience and published multiple research papers.✦ 5+ years of experience in statistical data analysis, machine learning, and deep learning.✦ 5+ years of experience in physiological signal processing.✦ 5+ years of experience in digital signal processing.✦ Programming Languages: Python, MATLAB, R, C/C++, Linux/Unix, Git✦ ML/Data Processing Libraries/Tools: PyTorch, TensorFlow, Keras, JaX, Scikit-learn🌀 My storyI am currently pursuing a Ph.D. in Biomedical Engineering at the University of Toronto, where my research focuses on leveraging machine learning and deep learning techniques in conjunction with various biomedical signals (including speech, EEG, PPG, respiratory sounds, etc.) to develop accessible digital technologies for monitoring sleep problems during wakefulness among people with low socioeconomic status, specifically people experiencing homelessness.Throughout my doctoral studies, I've had the privilege of undertaking two internship positions at Vector Institute and Klick Health Inc., both of which were focused on employing speech for neurodegenerative disorder severity prediction and cardiovascular monitoring. Previously, I was a master's student at the Sharif University of Technology, Tehran, Iran, where I have been working on event-related potential (ERP) extraction from single-trial EEG recordings using tensor decompositions and their applications in brain-computer interface (BCI) systems. I obtained two BSc degrees in Biomedical Engineering and Digital Systems from Amirkabir University of Technology, Tehran, Iran, where I have been working on multiclass Motor Imagery (MI) detection in low-resource BCI systems.

Listed skills include Matlab, Microsoft Office, Research, C++, and 28 others.