Mohammad Javadi is a computer vision and embedded systems engineer with 11 years of experience bridging academic research and production products, currently pursuing a PhD at the University of Houston while teaching operating systems and algorithms. His work spans low-field MRI image enhancement research, novel computer-vision pipelines for Iran’s first domestically produced industrial smart camera, and kernel-level driver development on resource-constrained IMX6 platforms. Comfortable across C++, Python, OpenCV, PyTorch/Keras, GStreamer, Yocto and CI/CD tooling, he has shipped 24/7 embedded products and optimized low-frequency hardware-software stacks. Mohammad pairs hands-on hardware interfacing with research rigor—an uncommon combination that accelerates prototype-to-deployment cycles—and brings a proven record of mentoring students through teaching assistant roles.
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