Seyed Ayyoubzadeh is a Senior Researcher and PhD in Electrical and Computer Engineering specializing in computer vision and deep learning, with nine years of experience translating academic innovations into industry impact. His work spans image and video analysis, including novel architectures for image quality assessment, lossless compression for mosaic images, and regularization methods for CNN filters that improve generalization. He has applied self-supervised learning and test-time adaptation to practical problems like optical flow and gaze estimation, producing peer-reviewed publications and a granted patent. Seyed has taught and mentored students at McMaster University and led coursework and tutorials, demonstrating strong communication alongside technical depth. Currently at Huawei Canada after a recent role in computer vision at Lattice Semiconductor, he thrives in cross-disciplinary teams that push model robustness and real-world deployment. Beyond standard research outputs, he combines hands-on engineering (freelance ML projects and production-focused internships) with rigorous theory to bridge lab ideas and deployable systems.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD Electrical and Computer Engineeing, Doctor of Philosophy - PhD Electrical and Computer Engineeing at McMaster University
Bachelor's degree Electrical Electronics and Communications Engineering, Bachelor's degree Electrical Electronics and Communications Engineering at Sharif University of Technology
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Seyed Ayyoubzadeh - Senior Researcher at Huawei Canada