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Navid Yazdi’s research focuses on advancing performance capability in edge computing through the integration of advanced AI deep learning, Artificial Intelligence-Internet of Things (AI-IoT) sensing technologies, hardware-software co-design, and heterogeneous integration. With over two decades of experience in academia and industry, including Fortune 500 companies and startups, Yazdi has made extensive research and development contributions in high-performance semiconductor chips, embedded hardware-software systems, Internet of Things (IoT) technologies, and Micro-electromechanical Systems (MEMS) sensors.
Department of Psychology