State-of-the-art workstations and measurement instruments for Analog and Mixed Signal ResearchFocuses on Analog and Mixed Signal Circuit Designs in bulk CMOS and SOI technologies, Semiconductor Devices for neural networks, high-frequency data converters and communication circuitsIs dedicated to the development of complex electronics systems where incoming inputs (temperature, image, voice and pressure) from a sensor can be used to act on or make a decisionIs involved in hardware design of adaptive, trainable neural networks to be used in non-invasive fault detection programs in production lines or detection of various tumour shapes in the human bodyExpertise in designing and safeguarding hardware chips in automobiles and cell phones against information-stealingFacilitates testing and characterization, specifically, full speed time / frequency domain testing and device characterization and modelingCreates designs with full CAD support which includes schematic capture, simulation, layout, verification, and process simulation when necessaryAccess to Cadences and Synopsys tools for research and teaching activities
Graduates of recognized universities may apply for admission. In general, admission to graduate study is granted only to those students who have good academic records and who are adequately prepared to undertake graduate work in their field of specialization. In particular, an applicant for admission to a graduate program leading to the degree of Doctor of Philosophy must have either a Master's degree or, in exceptional cases, a four-year Bachelor's degree, or the equivalent; with a minimum average of 77% (or equivalent). Possession of the minimum requirements does not ensure admission.
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