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Basic Sciences and Enabling Technologies
Deep Learning Techniques for End-to-end Deep Nanometer Analog and Radio Frequency Integrated Circuit Design Automation
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Basic Sciences and Enabling Technologies
DEFENDED PHD THESIS
Deep Learning Techniques for End-to-end Deep Nanometer Analog and Radio Frequency Integrated Circuit Design Automation
António Paiva Lapas de Gusmão
Supervisors:
Ricardo Miguel Ferreira Martins
,
Nuno Cavaco Gomes Horta
University:
Instituto Superior Técnico
Defense date:
3 / 2026
Keywords:
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