Summary
Muhammad Hossain is a PhD candidate and researcher in electrical engineering at West Virginia University with eight years of experience at the intersection of deep learning, computer vision, biomedical signal and image processing, and data science. As a graduate teaching and research assistant he develops ML-driven, non-contact respiratory monitoring systems that estimate tidal volume and support telemedicine, blending algorithm design with practical healthcare applications. He holds an MS in Biomedical Physics & Technology and a BS in Electrical & Electronic Engineering, grounding his work in both clinical sensing and core signal-processing theory. Curious and incremental by nature, he routinely pushes beyond coursework to prototype time-varying 3D thorax mapping and integrate models into real-world monitoring pipelines.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Electrical Engineering, 4.00/400, Doctor of Philosophy - PhD, Electrical Engineering, 4.00/400 at West Virginia University
Master of Science - MS, Biomedical Physics & Technology, 3.70/4.00, Master of Science - MS, Biomedical Physics & Technology, 3.70/4.00 at University of Dhaka
Bachelor of Science - BS, Electrical & Electronic Engineering, Bachelor of Science - BS, Electrical & Electronic Engineering at Bangladesh University of Engineering and Technology
SSC & HSC, SSC & HSC at Al Amin Academy School & College, Chandpur
English, বাংলা